This is a fully Remote and Work From Home (WFH) opportunity within the US

The Senior Data Engineer collaborates with motivated, energetic, and entrepreneurial individuals working together to achieve Science 37’s mission of changing the world of clinical research through patient-centered design. They have a hands-on role with the building and developing the data pipeline/platform that enables Science 37’s groundbreaking clinical research model and collaborates with Product, Data, Clinical Operations, and other relevant stakeholders to define study-specific platform requirements.

The Senior Data Engineer helps drive data democracy at Science. This position will work with our architects, software engineers, product managers, and DevOps to help design and build data solutions and architecture.  They will learn how Science 37 data is used and help make and drive the accessibility of the data that is needed, keeping in mind regulations and data privacy policies.  They will be able to use data processing libraries and tools to help the end users of our data get the insights they need.

DUTIES AND RESPONSIBILITIES

Duties include but are not limited to:

1. Understand how to Install, configure, monitor and maintain databases in the production, development, testing environments
2. Working with cloud vendors like AWS or GCP
3. Working with cloud distributed file systems, data lakes, and data warehouses
4. Creating a data pipelines to help with Internal and External analytics users
5. Define and implement database schemas and configurations working with our development teams
6. Optimize database performance by identifying and resolving application bottlenecks, tuning of DB queries, implementation of stored procedures, conducting performance tests, troubleshooting and integrating new elements
7. Work with and lead development team design and implement reporting capabilities
8. Implement solutions for database performance monitoring and tuning
9. Recommend operational efficiencies, eliminate duplicate work efforts and remove unnecessary complexities; create and implement new procedures and workflows
10. Process database change requests, including the creation and modification of databases, tables, views, stored procedures, triggers, jobs, etc. in accordance with change control policies
11. Utilize an understanding of Agile management to help the team with all release and configuration related tasks around software builds into preproduction and production environments.

QUALIFICATIONS & SKILLS 

Qualifications

The following qualifications are preferred and/or equivalent applicable experience:

1. Bachelor's degree in Computer Science or equivalent
2. Knowledge architectural & database design skills
3. Experience using SQL, NoSQL and Graph Databases
4. Must have experience with AWS (other cloud providers are a plus)
5. Scripting experience with Python or Bash required.
6. Expertise with SQL.
7. Have an understanding of data architecture.
8. Deep Experience across different database platforms and tools such as MySQL, PostgreSQL, SQL Server, DynamoDB, MongoDB.
9. Deep Experience designing and building data lake and data warehouse solutions
10. Linux Server basic hands-on admin experience.
11. Experience with Monitoring/Alert planning for data services.
12. Experience with highly available database technologies like clustering, replication, mirroring, etc.
13. Knowledge of administration, replication, backup and restore of relational databases
14. Experience with data tools like Jupyter

Preferred Qualifications

1. Experience in Clinical Trials and/or life science industry
2. Experience with operational efficiency improvement initiatives
3. Experience with CSV (Computer Systems Validation)
4. Experience with JIRA, Confluence is a plus

Competencies

1. Thrive in fast-paced, agile environments, and able to learn new areas quickly
2. Broad knowledge of common infrastructure technologies such as web servers, load balancers, etc.
3. Excellent troubleshooting skills and ability to understand complex relationships between components of multi-tiered and distributed applications.
4. Solid understanding of load balancing and high volume, high availability environments
5. Knowledge of SDLC and project management methodologies (JIRA experience is a plus)
6. Able to analyze and review current functionality to determine potential areas of improvement and cost savings
7. Ability to work independently with minimal guidance in a fast-paced environment
8. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers
9. Strong work ethic with good time management with the ability to work with diverse teams and lead meetings
10. Ability to work with all levels of the organization
11. Experience using both SQL, NoSQL and Graph Databases
12. Experienced in automation and automation tools such as Jenkins, Puppet, Chef, etc.
13. Amazon: RDS, Aurora, Athena, DocumentDB, DynamoDB, Neptune,
14. Snowflake
15. Experience programming in Python.

REPORTING

The incumbent reports to the Manager, Data Engineering, who will also assign projects, provide general direction and guidance. Incumbent is expected to perform duties and responsibilities with minimal supervision.

Science 37 is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Science 37 values the well-being of its employees and aims to provide team members with everything they need to succeed.

Submit your resume to apply!

Are you looking for a cutting-edge tech stack to work with on a daily basis? We are currently expanding our Platform teamand are looking for a new colleague to join as aDevOps Engineer. The salary starts from €3,500 based on your experience level and you can work from home or one of our Central Europe offices on a full-time basis. Are you ready to grow with us?

What tech stack do we have for you?

• Python, Golang
• Kubernetes, Ansible, Terraform, Gitlab
• Google Cloud, GCP Pub/Sub, GCP Bigtable, GCP BigQuery, GRPC  
• MongoDB, Redis, Elasticsearch, PostgreSQL, Influxdb, Etcd, Kafka, Zookeeper
• Prometheus, Grafana, Sentry

The current projects and challenges include focusing on security in Kubernetes, Auditlog, and SIEM, infrastructure for automatized E2E tests, and pushing automatization to reduce unnecessary toil.

About your team:

The Platform team operates and maintains Bloomreach Engagement core infrastructure built on Google Cloud with security, high availability, and scalability in mind.Our vision is to identify and implement opportunities to achieve a robust, reliable, and efficient infrastructure and development platform. We strongly support DevOps culture: each team is responsible for releasing, operating, and monitoring their own applications.

The roleof the Platform Team is to provide a strong foundation upon which all teams can build, for example, manage big infrastructure components like Kubernetes, databases and cloud components mostly in Google Cloud. An important role of the team is also providing support for developers, reviewing design proposals, validating the performance and availability of applications, and sometimes even developing new core application components like logging or authorization.

Tasks and responsibilities:

In the position of DevOps Engineer, you’d be expected to work with other Engineering teams to design sustainable infrastructure, microservice solutions, and an efficient and robust production environment. Because Python or Golang is a big part of the daily routine, you’ll need to be fluent in these languages (or at least willing to learn). 

Additionally, you’ll be working on a variety of tasks and projects, including automating tools and infrastructure to reduce manual work, monitoring applications and services and taking action to resolve issues, and participating in an on-call rotation as required. 

The ideal candidate will be passionate about learning new things, creative, willing to take the initiative, and able to think outside the box to solve problems strategically. 

What we expect of the candidate:

• Knowledge of at least one compiled or interpreted language is a must, Python or Golang preferred
• Managing and operating 24×7 production Kubernetes clusters on Google (or AWS/Azure…), deploying, debugging
• Experience with setting up monitoring, and configuring alerts, on-duty experience preferred, experience with Grafana and Prometheus preferred
• Experience with DevOps, Orchestration/Configuration Management, and Continuous Integration technologies eg. terraform, GitLab, ansible, docker…
• Preferred experience with cloud-native systems, experience in code-based configuration, load-balancing, auto-scaling, monitoring, networking, security, and problem-solving
• Deep understanding of modern database systems, including caching, application of NoSQL, Key/Value, and RDBMS datastores, MongoDB, Redis, Elasticsearch, and PostgreSQL are preferred, and basic knowledge of cloud-based systems (BigQuery, BigTable, Cloud SQL…)
• Deep understanding of the DevOps philosophy or SRE
• Ability to provide technical guidance and educate team members and coworkers on development and operations

Regional benefits:

• Monthly lunch entitlement by up to 110€ per month
• Pension scheme or Health insurance depending on region

Classy, an affiliate of GoFundMe, is a Public Benefit Corporation and giving platform that enables nonprofits to connect supporters with the causes they care about. Classy's platform provides powerful and intuitive fundraising tools to convert and retain donors. Since 2011, Classy has helped nonprofits mobilize and empower the world for good by helping them raise over $6 billion. Classy also hosts the Collaborative conference and the Classy Awards to spotlight the innovative work nonprofits are implementing around the globe. For more information, visitwww.classy.org.

About the role:

Classy's Product Technology team is hiring a Database Administrator II to help design, build, and maintain our data services and infrastructure that drive vast volumes of financial transactions measured in millions. The ideal candidate will combine solid engineering expertise with product aptitude, driven by exciting technical challenges that come with scale, and thrive in a fast-paced, iterative, and collaborative environment. We want to talk to you if you are unfazed by the idea of optimizing and extending existing systems to make them more robust, maintainable, and scalable. 

What you’ll accomplish:

• Have a critical role in maintaining robust, fault-tolerant, data integration service layers.
• Assist Software Engineers in implementing and delivering new features leading to higher adoption of fundraising tools on the platform.
• Build reporting and monitoring tools to ensure the stability and security of the system.
• Develop on our highly scalable data platforms that include Aurora (MySQL), Atlas (MongoDB), Redshift and Redis.
• Investigate and troubleshoot data processing bottlenecks to determine courses of action that predicate microservice design
• Help develop best practices data management processes with an eye on distributed database architectures and resiliency.
• Participate in an engineering culture of “always be learning” where the sharing and learning from failures is celebrated and the giving and receiving of constructive candid feedback is highly encouraged.
• Maintaining existing databases with upgrades, scheduled jobs, backup/restores and security.

What you bring (Required):

• Bachelor’s Degree in Computer Science or a related field, or equivalent work experience.
• 2+ years maintaining highly scalable projects involving cloud-based infrastructures.
• Excellent understanding of distributed data models with experience debugging distributed databases with high data loads.
• Strong experience writing performant SQL/MQL queries for relational and non-relational databases with the ability to know what the impact of complex queries entail.
• Proficient with programming and scripting (for example, Python, Linux Shell, Javascript ES6, Node.js, AWS (Lambda, SNS, EC2, ECS)), with the ability to read and understand existing source code in order to analyze performance and recommend improvements.
• Experience with APM tools such as NewRelic or DataDog, and how to use those tools to troubleshoot performance issues.
• Experience with Scrum/Agile development methodologies.
• Proficiency in schema design in relational and NoSQL databases (MySQL, MongoDB).
• A deep sense of quality, and sharp engineering skills with strong computer science fundamentals.
• Experience with multi-regional cloud computing database infrastructure

What would be awesome to have (Preferred):

• Knowledge of CRM data architecture, such as Salesforce (SFDC) or Microsoft (Dynamics 365) 
• Experience with cached data store or search technology for fast runtime access (OpenSearch, GraphQL, Splunk, Solr, Algolia)
• Comfortable with working on loosely coupled microservices.
• Experience with code versioning tools (GIT/Bitbucket).
• Experience supporting Big Data solutions
  
  

Why you’ll love it here: 

• Market competitive pay
• Rich healthcare benefits, including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. 
• 401(k) retirement plan with company matching
• Hybrid workplace with fully remote flexibility for many roles
• Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
• A variety of mental and wellness programs to support employees   
• Generous paid parental leave and family planning stipend
• Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
• Learning & development and recognition programs
• Gives Back Program where employees can nominate a fundraiser every month for a donation from the company
• Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
• Employee resource groups
• Your work has a real purpose and will help change lives on a global scale.
• You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. 
• We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose
• We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!
• Our commitment to Sustainability.Classy exists to create a sustainable world for all. 

Dedication to Diversity 

Classy is working toward building a more diverse and inclusive environment that is representative of individuals of all backgrounds, experiences, and lifestyles, allowing all employees to feel comfortable being their true, authentic selves in a space that enables productivity and meaningful work.

The total annual salary for this full-time position is $86,500 - $116,500 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. 

Your recruiter can share more about the specific salary range based on your location during the hiring process. 

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com