About SonderMind
At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.
To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.
About the Role
In this role, you will be responsible for designing, building, and managing the information infrastructure systems used to collect, store, process, and distribute production and reporting data. This role will work closely with software and data engineers, as well as data scientists, to deploy Applied Science services. This role will also interact with business analysts and technical marketing teams to ensure they have the data necessary to complete their analyses and campaigns.
What you will do
- Strategically design, construct, install, test, and maintain highly scalable data management systems
- Develop and maintain databases, data processing procedures, and pipelines
- Integrate new data management technologies and software engineering tools into existing structures
- Develop processes for data mining, data modeling, and data production
- Translate complex functional and technical requirements into detailed architecture, design, and high-performing software and applications
- Create custom software components and analytics applications
- Troubleshoot data-related issues and perform root cause analysis to resolve them
- Manage overall pipeline orchestration
- Optimize data warehouse performance
What does success look like?
Success in this role will be gauged by the seamless and efficient operations of data infrastructure. This includes minimal downtime, accurate and timely data delivery and the successful implementation of new technologies and tools. The individual will have demonstrated their ability to collaborate effectively to define solutions with both technical and non-technical team members across data science, engineering, product and our core business functions. They will have made significant contributions to improving our data systems, whether through optimizing existing processes or developing innovative new solutions. Ultimately, their work will enable more informed and effective decision-making across the organization.
Who You Are
Skills, experience, and education that is needed for this person to be able to succeed in this role
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Minimum 4 years experience as a Data Engineer or in a similar role
- Proficient with scripting and programming languages (Python, Java, Scala, etc.)
- In-depth knowledge of SQL and other database related technologies
- Experience with Snowflake, DBT, BigQuery, Fivetran, Segment, etc.
- Experience with AWS cloud services (S3, RDS, Redshift, etc.)
- Experience with data pipeline and workflow management tools such as Airflow
- Backend Development experience with the following:
- REST API design using web frameworks such as FastAPI, Flask
- Data modeling for microservices, especially using NoSQL databases like MongoDB
- CI/CD pipelines (Gitlab preferred) and microservices deployment to AWS cloud
- Docker, Kubernetes, Helm Charts, Terraform
- Developing unit tests for microservices using testing frameworks like pytest
- Strong negotiation and interpersonal skills: written, verbal, analytical
- Motivated and influential – proactive with the ability to adhere to deadlines; work to “get the job done” in a fast-paced environment
- Self-starter with the ability to multi-task
Our Benefits
The anticipated salary range for this role will be $132,000-165,000.
As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.
Our benefits include:
- A commitment to fostering flexible hybrid work
- A generous PTO policy with a minimum of three weeks off per year
- Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
- Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
- Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
- Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
- 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
- Travel to Denver 1x a year for annual Shift gathering
- Fourteen (14) company holidays
- Company Shutdown between Christmas and New Years
- Supplemental life insurance, pet insurance coverage, commuter benefits and more!
Application Deadline
This position will be an ongoing recruitment process and will be open until filled.
Equal Opportunity
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.
