Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

Your Impact

At Handshake, data is used in decision making across all areas of our business. As a Senior Analytics Engineer, you will play a pivotal role in shaping our data ecosystem by implementing scalable data models. Your expertise will empower our business stakeholders to make data-driven decisions, enabling the organization to leverage data as a strategic asset. Your contributions will enhance our ability to translate complex data needs into actionable metrics and models, driving innovation and efficiency across the organization. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Your Role

In this role, you will be responsible for:

• Design and implement scalable data models and their corresponding pipelines.

• Collaborate closely with product and business teams to translate their data requirements into effective data models and metrics.

• Develop and own the data ecosystem, ensuring robust data governance and high data quality.

• Act as a leader in the data space, driving best practices and enabling data driven decisions across the product org.

Your Experience

To excel in this role, you should possess:

• Advanced SQL skills: Strong expertise in SQL and experience with data modeling and database design conventions.

• Proven leadership in data modeling or data governance, contributing to successful data strategy implementations.

• Demonstrated expertise in data modeling at scale.

• History of collaboration with product and business teams to align data initiatives with organizational goals.

• Experience using data orchestration and data modeling tools (airflow and dbt are the tools we use at Handshake)

• Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more

Bonus Areas of Expertise

While not required, expertise in any of the following areas would be highly advantageous:

• Experience with Apache Spark for large-scale data processing and knowledge of when to utilize big data tooling.

• BI tool knowledge: Specifically Looker and Hex

• Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.

Compensation range

$192,222-$213,580

At CLEAR, we are pioneers in digital and biometric identification, known for reducing friction wherever identity verification is needed. Now, we’re evolving further, building the next generation of products to go beyond ID, empowering our members to harness the power of a networked digital identity. As an Analytics Engineer, you will play a pivotal role in designing and enhancing our data platform, ensuring it supports data-driven insights while safeguarding member privacy and security.

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / Dagster / dbt

What you'll do:

• Design and maintain scalable, self-service data platforms enabling Analysts and Engineers to drive automation, testing, security, and high-quality analytics.
• Develop robust processes for data transformation, structuring, metadata management, and workflow optimization.
• Own and manage end-to-end data pipelines—from ingestion to transformation, modeling, and visualization—ensuring high data quality.
• Collaborate with stakeholders across product and business teams to understand requirements and deliver actionable insights.
• Lead the development of data models and analytics workflows that support strategic decision-making and reporting.
• Maintain a strong focus on privacy, ensuring that member data is used securely and responsibly.
• Drive architectural improvements in data processes, continuously improving CLEAR’s data infrastructure.

 What you're great at:

• 6+ years of experience in data engineering, with a focus on data transformation, analytics, and cloud-based solutions.
• Proficient in building and managing data pipelines using orchestration tools (Airflow, Dagster,) and big data tools (Spark, Kafka, Snowflake, Databricks).
• Expertise in modern data tools like dbt and data visualization platforms like Looker, Tableau.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Experience mentoring and collaborating with team members to foster a culture of learning and development.
• Comfortable working in a dynamic, fast-paced environment with a passion for leveraging data to solve complex business challenges.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $145,000 - $175,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation. We have a strong preference for team players that are comfortable collaborating across teams, know how to generate understanding from data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE ????

In this role, you will:

• Own the end-to-end process of designing, building, and maintaining data models that drive business insights and decision-making. You’ll work closely with stakeholders to ensure data is transformed into meaningful and actionable information.
• Define best practices for and efficiently source new data from a variety of sources, both internal and external.
• Work within the organization to prioritize automation over manual solutions.
• Enhance our analytics capabilities by continuously improving data models for maintainability, performance and scalability, while ensuring they remain aligned with business goals.
• Work within interdisciplinary teams to help deliver product features, enable product analytics and experimentation through accurate and timely data modeling of customer data, and enable efficient product operations.
• Deeply understand how data is generated through effective work with engineering teams. Make sure that the changes we make in our product are properly reflected in data models.
• Confidently juggle multiple projects and priorities in our fast paced environment and work with stakeholders and analytics engineering teammates to ensure deadlines and commitments are met.
• Expertly communicate with multiple stakeholders on updates to requirements, deadlines and status of work.
• Become an expert in multiple areas of our business and understand the logic well enough to maintain and enhance our current testing suite.

ABOUT YOU ????

• You have 6+ years of working in the analytics stack within a fast paced environment and are familiar with the growing set of analytics tooling solutions. You are very comfortable working in SQL.
• You have 4+ years of production experience with SQL templating engines, like DBT, (particularly CI/CD) and data warehouses, third party ingestion providers and BI tools.
• You have 2+ years of experience working in a data engineering or software engineering capacity where you had to create/maintain custom data pipelines.
• You have a passion for automating things to take people out of the loop, whether that be via prior data engineering or software engineering experience.
• You are obsessively detail oriented and organized.
• You have an irresistible urge to understand the complexities of the data you’re working with. You love the puzzle of jumping into a messy data problem and peeling back the layers until you’ve figured out how everything works.
• It’s second nature for you to break down a complex problem into specific tasks and create a plan for how to tackle those tasks. You feel comfortable taking the initiative to get started on a project and are not afraid of asking for help if you hit a road block.
• You have extensive experience with automated testing and test driven development. You see automated testing and documentation as one of the keys to scaling.
• You are a strong written communicator. You are used to working in tickets and sprints.
• You have experience partnering with analytics teams, business stakeholders, and engineers to deliver analytics solutions to business problems. You are confident in your ability to speak with both technical and non-technical teams.
• You find it enjoyable working with engineers to define data models that enable both efficient operation of applications and capture the data necessary to enable analytics and data science use cases.

Bonus points if:

• You have strong data engineering or software engineering skills but prefer the challenge of serving analytics users via value add data modeling.
• You have experience automating all the things with Python.
• Experience in our specific technology stack:
  • Analytics: BigQuery/GCP, Fivetran, Looker, Mode, DBT
  • Data Engineering: Terraform, AWS

WE OFFER????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $170,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out.

Headquartered in the U.S., Acquia is a Great Place to Work-Certified^TM company in India, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it!

About the role…
As a Senior Data Engineer with expertise in building Enterprise Data Platforms (EDP), you will play a pivotal role in creating a robust and scalable data infrastructure. You will be responsible for designing, building, and maintaining data pipelines that will power various analytics and AI-driven products across the company.

Job Responsibilities:

• Data Pipeline Design & Development: Lead the design, development, and optimization of data pipelines that enable the collection, transformation, and storage of data from multiple sources like OLTP databases, operational applications (Salesforce, Jira), event collectors, logs, 3rd-party APIs, and file storage (e.g., S3).
• Ingestion & Integration: Build and manage data ingestion processes using tools like Meltano and orchestrate workflows with Dagster, ensuring scalability and real-time data processing.
• Data Storage & Management: Implement data storage solutions leveraging Snowflake for data warehousing and S3 for data lakes, optimizing for cost, performance, and security.
• Data Transformation: Work with the data transformation layer using dbt and ensure seamless integration with orchestration layers to maintain real-time and batch processing efficiency.
• Data Governance: Establish data governance frameworks and data catalogs (e.g., DataHub) to ensure data quality, discoverability, and security across the platform.
  Collaboration: Collaborate with stakeholders across the organization, including data scientists, product managers, and business analysts, to translate business needs into technical solutions.
• Real-Time Analytics: Implement real-time analytics solutions by building and maintaining a vector database and real-time analytics database to support machine learning models and predictive analytics.
• Semantic Layer & AI Integration: Design and implement a semantic layer (e.g., cube.js) to facilitate user-facing analytics while integrating AI services and vector databases for advanced analytics.

Skills:

• 5+ years of experience in data engineering or data platform development.
• Experience with data engineering tools and frameworks (e.g., Meltano, dbt, Dagster).
• Strong hands-on experience with data lakes (e.g., S3), and data warehouse tool - Snowflake
• Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency in SQL,Python, and ETL/ELT design patterns.
• Understanding of real-time analytics and vector databases.
• Strong knowledge of data governance practices and cataloging tools like DataHub.
• Experience working with cross-functional teams and translating business needs into technical requirements.
• Proven expertise in building enterprise-level data platforms.
• Experience with real-time data processing and analytics tools.

Preferred Qualifications: 

• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Familiarity with dashboarding and reporting tools like Domo.
• Experience with AI/ML-driven platforms and integrating AI services for advanced analytics.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more!

Individuals seeking employment at Acquia are considered without regard to race, color, religion, caste, creed, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Whatever you answer will not be considered in the hiring process or thereafter.

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation. We have a strong preference for team players that are comfortable collaborating across teams, know how to generate understanding from data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE ????

In this role, you will:

• Work within interdisciplinary teams to help deliver product features, enable product analytics and experimentation through accurate and timely data modeling of customer data, and enable efficient product operations.
• Deeply understand how data is generated through effective work with engineering teams. Make sure that the changes we make in our product are properly reflected in data models.
• Confidently juggle multiple projects and priorities in our fast paced environment and work with stakeholders and analytics engineering teammates to ensure deadlines and commitments are met.
• Work with your analytics engineering teammates to continuously iterate and improve upon our processes, best practices and technical implementation of models.
• Build data models with the end consumer in mind, whether it be an analyst or an accountant. Own the creation of data models from source data to working with Data Analysts to properly expose the finished data models in our semantic layer (Looker).
• Work with our data engineering and infrastructure team to define good practices for and efficiently source new data from a variety of sources, both internal and external.
• Expertly communicate with multiple stakeholders on updates to requirements, deadlines and status of work.
• Become an expert in multiple areas of our business and understand the logic well enough to maintain and enhance our current testing suite.

ABOUT YOU ????

• You have 4+ years of working in the analytics stack within a fast paced environment and are familiar with the growing set of analytics tooling solutions. You are very comfortable working in SQL.
• You have 3+ years of production experience with SQL templating engines, like DBT, (particularly CI/CD) and data warehouses, third party ingestion providers and BI tools.
• You have experience exposing data models to end consumers in BI Tools.
• You are obsessively detail oriented and organized.
• You have an irresistible urge to understand the complexities of the data you’re working with. You love the puzzle of jumping into a messy data problem and peeling back the layers until you’ve figured out how everything works.
• It’s second nature for you to break down a complex problem into specific tasks and create a plan for how to tackle those tasks. You feel comfortable taking the initiative to get started on a project and are not afraid of asking for help if you hit a road block.
• You have extensive experience with automated testing and test driven development. You see automated testing and documentation as one of the keys to scaling.
• You are a strong written communicator. You are used to working in tickets and sprints.
• You have experience partnering with analytics teams, business stakeholders, and engineers to deliver analytics solutions to business problems. You are confident in your ability to speak with both technical and non-technical teams.
• You find it enjoyable working with engineers to define data models that enable both efficient operation of applications and capture the data necessary to enable analytics and data science use cases.
• You have a passion for automating things to take people out of the loop, whether that be via prior data engineering or software engineering experience.

Bonus points if:

• You have strong data engineering or software engineering skills but prefer the challenge of serving analytics users via value add data modeling.
• Experience in our specific technology stack: BigQuery/GCP, Fivetran, Looker, Mode, DBT

WE OFFER????

• Health, Dental & Vision Plans
• Competitive Pay
• 401k Matching
• Unlimited PTO
• Lunch daily (in-office only)
• Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $130,000 - $150,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Hi, we're Oscar. We're hiring an Analytics Engineer I to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the Role

As an Analytics Engineer I, you will occupy a vital position in Oscar’s data pipeline between raw data producing systems and end users of financial data.  You will maintain a crucial partnership with Oscar’s Finance team, a critical data user, servicing it with comprehensive and reliable Certified Datasets (CDS) curated to enable accounting and actuarial processes and facilitate efficient answering of business questions.  You will guide Engineering to help ensure that the financial data model is correctly implemented in production systems.  You will problem solve and collaborate with multiple stakeholders, executing on tasks that range from requirements gathering to detailed optimization of code to brainstorming and implementing quality assurance checks on financial data.  

You will report to an Associate Director, Data Science. 

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.  

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $103,200 - $135,450 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities

• Become a financial data subject matter expert and use that knowledge to understand and organize raw data sources and structure them into CDS (certified data sets) which stakeholders can readily rely on and self service with.
• Partner with the Finance team to expand the breadth and depth of finance CDS to support its processes and to more seamlessly integrate CDS into Finance’s systems.
• Facilitate automation of key Finance team process by programming reports based on complex queries.
• Partner with Engineering to validate updates to raw financial data structure within an evolving production system and update CDS code accordingly while preventing service interruption for stakeholders.
• Promote data fidelity in upstream data producing systems and expand quality checks within finance CDS.
• Conduct root cause analyses of financial data defects and escalate to upstream data owners or  cure in finance CDS.
• Compliance with all applicable laws and regulations. 
• Other duties as assigned. 

Qualifications

• 1+ years of experience in Analytics Engineering, Data Science, or a related field.
• 1+ years of experience working with SQL.
• 1+ years of experience developing in a semantic modeling language (e.g. LookML).
• 1+ years of experience developing within a modern data transformation tool like DBT.
• 1+ years of experience with cloud database tools (GCP, AWS, Azure).

Bonus Points

• Experience working with healthcare data, analytics and reporting, particularly with claims payments data.
• Experience with GCP and/or DBT.
• A background in healthcare and/or insurance.
• Strong communication skills, verbal and written, as demonstrated by experience on at least 1 project or initiative requiring communication between technical and non-technical users.

????London/Cardiff/UK Remote | ???? £70,000-85,000 + Benefits | Hear from the team ✨

⭐Our Business Banking team

Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and was recently named as the Standout Business Bank by 11:FS. Data is crucial to the success of this mission and Analytics Engineers are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses. 

What you’ll be working on: 

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. 

You’ll enable our data driven approach, and:

• Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.

• Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.

• Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.

• Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.

• Take established best practices and standards defined by the team, applying them within other areas of the business.

• Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.

• Contribute to prioritisation of data governance issues
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

We’d love to hear from you if…

• You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
• You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
• You have a strong passion for data modelling, ETL projects, and Big Data.
• You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.

Nice to haves

• Any experience working within a finance function or knowledge of accounting.

• Experience working in a highly regulated environment (e.g. finance, gaming, food, health care). 

• Knowledge of regulatory reporting and treasury operations in retail banking

• Exposure to Python, Go or similar languages.

• Experience working with orchestration frameworks such as Airflow/Luigi

• Have previously used dbt, dataform or similar tooling.

• Used to AGILE ways of working (Kanban, Scrum)

The Interview Process:

Our interview process involves 3 main stages: 

• 30 minute recruiter call
• 45 minute call with the hiring manager
• Take home task
• 2-part final stage

Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NJ1 #LI-REMOTE

At CLEAR, we are pioneers in digital and biometric identification, known for reducing friction wherever identity verification is needed. Now, we’re evolving further, building the next generation of products to go beyond ID, empowering our members to harness the power of a networked digital identity. As a Senior Analytics Engineer, you will play a pivotal role in designing and enhancing our data platform, ensuring it supports data-driven insights while safeguarding member privacy and security.

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / Airflow / Databricks / Spark / dbt

What you’ll do:

• Design and maintain scalable, self-service data platforms enabling Analysts and Engineers to drive automation, testing, security, and high-quality analytics.
• Develop robust processes for data transformation, structuring, metadata management, and workflow optimization.
• Own and manage end-to-end data pipelines—from ingestion to transformation, modeling, and visualization—ensuring high data quality.
• Collaborate with stakeholders across product and business teams to understand requirements and deliver actionable insights.
• Lead the development of data models and analytics workflows that support strategic decision-making and reporting.
• Maintain a strong focus on privacy, ensuring that member data is used securely and responsibly.
• Drive architectural improvements in data processes, continuously improving CLEAR’s data infrastructure.

What makes you a great fit:

• 6+ years of experience in data or analytics engineering, with a focus on data transformation, analytics, and cloud-based solutions.
• Proficient in building and managing data pipelines using orchestration tools (Airflow, Dagster,) and big data tools (Spark, Kafka, Snowflake, Databricks).
• Expertise in modern data tools like dbt and data visualization platforms like Looker, Tableau.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Experience mentoring and collaborating with team members to foster a culture of learning and development.
• Comfortable working in a dynamic, fast-paced environment with a passion for leveraging data to solve complex business challenges.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,000 - $215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

About us:

Parsley Health is a digital health company with a mission to transform the health of everyone, everywhere with the world's best possible medicine. Today, Parsley Health is the nation's largest health care company helping people suffering from chronic conditions find relief with root cause resolution medicine. Our work is inspired by our members’ journeys and our actions are focused on impact and results.

The opportunity:

You will be joining a remote team of passionate engineers reporting into our Data Manager. In this role, you will work closely with Engineering, Product, Design and Customer Reliability teams. Parsley Health is an outcomes-driven organization and your work will directly contribute to the company objectives, including expanding the business nationally; improving activation, conversion and retention; and expansion of our healthcare products.

We work in a blameless environment and we take ownership and pride in our efforts. We like to work in small cross functional product pods where each pod owns the development lifecycle of their products. We follow agile development practices and encourage each pod to tailor the processes to their needs. Our teams are built on pillars of trust, humility and continuous improvement.

About you:

You appreciate the challenge of building reliable and timely business intelligence systems to promote actionable insights. You know that good ETL, preparation, and visualization are key to getting the right answer - and you also know that understanding your stakeholder’s problems is the key to getting the right question. 

You know when to develop an MVP based on a few requirements gathered in a conversation, and when to suggest a dedicated meeting to sort out the 'what-why-how.'

You have a healthy appreciation for the many ways in which distributed systems may fail. You're always thinking beyond the scope of the current project, and about the larger product vision. You are thrilled to deliver the right information, at the right time, in support of our member’s health and clinician’s decision process.

What you’ll do:

• Manage and architect our ETL, warehouse, and data delivery/visibility.
• Craft critical retrospective reports for use by our Ops, Clinical, Product, Finance, and MX teams.
• Provide actionable, prospective insights to support business and clinical decisions.
• Engage functional peers on core business strategies and how data products support those efforts.
• Work closely with stakeholder groups to define requirements, design appropriate BI solutions, and implement applications against development standards and best practices.
• Design, develop, and maintain scalable data pipelines that extract, transform, and load data from various sources into our data warehouse (BigQuery).
• Ensure data accuracy, consistency, and availability for business intelligence and analytics purposes.
• Optimize and enhance data processing workflows for performance and efficiency.
• Implement and maintain data quality monitoring and alerting systems.
• Work closely with cross-functional teams - including Product and Clinical Operations - to understand data needs and provide actionable insights.
• Stay up-to-date with emerging trends and technologies in data engineering and analytics.

What you’ll need:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (Master's degree preferred).
• 3+ years of experience in data and analytics.
• Strong proficiency in SQL and Python
• Experience with data modeling techniques.
• Hands-on experience with data warehousing technologies (e.g., Redshift, Snowflake, BigQuery) and ETL tools (e.g., Airflow, DBT).
• Experience with data visualization tools (e.g., Tableau, Looker) is a plus.
• Experience with Google Cloud Platform
• Containerization experience, knowledge of CI tooling, testing frameworks and other code quality tools
• Familiarity with healthcare data standards and regulations (e.g., HIPAA) is desirable.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• A lean towards self-directed learning in data tooling and solutions.

Benefits and Compensation:

• Equity Stake
• 401(k) + Employer Matching program
• Remote-first with the option to work from one of our centers in NYC or LA
• Complimentary Parsley Health Complete Care membership
• Subsidized Medical, Dental, and Vision insurance plan options
• Generous 4+ weeks of paid time off
• Annual professional development stipend
• Annual wellness stipend

Parsley Health is committed to providing an equitable, fair and transparent compensation program for all employees.

The starting salary for this role is between $115,000 - $130,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with candidates during the process.

At Parsley Health we believe in celebrating everything that makes us human and are proud to be an equal opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. 

Important note:

In light of recent increase in hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an@parsleyhealth.comemail address to guide you through our interview process. 

    Please note: 

• We will never communicate with you via Microsoft Teams
• We will never ask for your bank account information at any point during the recruitment process, nor will we send you a check (electronic or physical) to purchase home office equipment

We look forward to connecting!

#LI-Remote

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for an Analytics Engineer to enable Grammarly to make better, faster, data-driven business decision-making. As part of our esteemed data team, this role is pivotal in allowing us to make quicker, more informed business decisions. The person in this role will have the opportunity to help build an exceptional Analytics stack, foster a data-driven culture throughout our organization, and empower decision-makers at all levels with a reliable source of truth.

The Analytics Engineer will team up with product, marketing, and business leaders, alongside other data experts, to create exceptional and scalable analytical solutions for our company.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As an Analytics Engineer, you will:

• Own the last mile data delivery for product and business stakeholders.
• Form a deep understanding of the business, your partners' opportunities and problems, and how data can solve them.
• Work closely with data scientists to define and operationalize critical business metrics.
• Team with data engineers to design dimensional tables to be used by power users and other developers.
• Write complex, production-grade SQL pipelines using engineering best practices for testing, version control, and documentation.
• Create scalable analytical solutions, such as dashboards, alerts, and tools, to enable your users' self-serve reporting and analysis capabilities.
• Continuously re-evaluate our data ecosystem against industry best practices and new third party technologies to ensure Grammarly’s analytics stack remains best-in-class.

Qualifications

• Is excellent at using SQL for data pipeline development in a modern data stack (Databricks, Snowflake, BigQuery, Redshift, dbt, etc.)
• Has 8+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Product Analyst, or a similar role.
• Is familiar with data modeling principles and best practices.
• Has strong analytical and critical thinking skills, high attention to detail, and a strong bias toward impact and actionable insights.
• Has a passion for communicating insights through the language of data.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.

Support for you, professionally and personally

• Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
• A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
• Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here.

The Role

As an Analytics Engineer at Podium, you will help to deepen our understanding of Finance and Billing data at Podium, enabling multiple teams with access to critical data. You will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be our internal Revenue Operations and Data Science team as well as the Finance and Accounting teams. You will work closely with talented Data Analysts, Data Engineers, and Data Scientists. The core responsibility requires you to create new data pipelines using SQL and dbt. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.

Responsibilities:

• Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
• Architect data models through SQL
• Write documentation for best practices and to record Podium’s data
• Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

You're background:

• 3+ years of work experience SQL and experience with multiple flavors, Snowflake preferred
• 2+ years of work experience using Git for version control
• Exposure to Financial data and familiarity with key metrics such as MRR and churn
• Experience using dbt and Snowflake is desirable
• Strong drive to organize and document data in a reproducible manner
• Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
• Eagerness to work on development of internal tools, systems, packages, process, and documentation
• You have a proven record of providing analyses that have tangible impact on the business
• Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
• You are committed to honesty and a diverse and inclusive workplace

Benefits

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with competitive company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees
• Additional benefits for fully remote employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.