Data Engineer

We are looking for a Data Engineer to join our fully remote team and help build the foundation for Well Theory’s next stage of growth. In this role, you’ll design and scale the data infrastructure that powers everything from our AI-native Care Hub to client-facing analytics , ensuring that our systems remain fast, reliable, and insight-rich as we scale 📊

You’ll partner closely with our Head of Product , engineering team , Head of Finance , Data Analyst , Care Team, and Marketing stakeholders to design data models, pipelines, and tools that support better decision-making, improve care delivery, and enable the next generation of product features. This is a unique opportunity to shape both our data architecture and strategy at a company that’s redefining how people with autoimmune conditions receive care.

You likely have 5+ years of experience as a data engineer or software engineer working with data infrastructure  current stack includes Big Query, Postgres, and Superset , with services built in Node.js and deployed on GCP . Experience with Kafka, Aftivemq, Python, Kubernetes, and Argo CD - or similar - highly desired. You don’t need experience with every part of our stack — we’re confident an experienced engineer with strong fundamentals can ramp quickly.

Some of your responsibilities may include:

• Designing, building, and maintaining scalable and secure data pipelines that collect, clean, and transform data from multiple sources (product, care operations, member engagement, and client reporting). This includes validating, ingesting, and normalizing data from our external sources like SFTP files from our B2B2C partners and making files available to internal stakeholders for operations in a secure way
• Auditing and improving our existing Big Query and Superset setup to strengthen data reliability, optimize performance, and reduce costs.
• Modeling and documenting data architecture to support analytics, product insights, and internal tools, ensuring consistent definitions across the business.
• Partnering with Product and Engineering to instrument new product features with clean, trustworthy data for analysis and AI use cases.
• Developing frameworks for data quality, testing, and observability that increase confidence in our metrics and dashboards.
• Collaborating cross-functionally to support reporting and analytics needs across care delivery, operations, and client success.
• Contributing to data strategy and best practices as we grow the function — helping Well Theory evolve toward a data-first, insight-driven culture.

These are not requirements but describe someone who might be a great fit for Well Theory and this role:

Builder mindset. You love designing elegant, reliable data systems from scratch and take pride in laying clean, maintainable foundations that scale with the business.

Full-stack data experience. You’ve built pipelines, managed warehouses, modeled data for analytics, and understand the needs of both technical and non-technical stakeholders.

Strong collaborator. You’re comfortable partnering with engineers, product managers, and operations leaders to translate messy, real-world problems into scalable data solutions.

Analytically minded. You think in terms of accuracy, observability, and performance — ensuring the right data gets to the right people (and systems) at the right time.

Hands‑on and strategic. You can dive into SQL in the morning and help shape Well Theory’s long‑term data architecture in the afternoon.

Passionate about privacy. You have experience with, or appreciation for, building data architecture in a secure way that maintains compliance and follows standards like SOC 2 and HIPAA.

Curious about healthcare. Bonus points if you’ve worked in or are excited about health tech, digital health, or care delivery data — especially where reliability and privacy matter deeply.

Outside of the specific role, here are qualities that make someone successful at Well Theory:

Empathy for the autoimmune experience. You don’t need to have an autoimmune condition for this role but you need to have deep empathy for the lived experience of autoimmune patients and be able to…