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Data EngineerWellTheory Technologies, Inc. • New York, New York, United States
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Data Engineer

WellTheory Technologies, Inc.
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

We are looking for a Data Engineer to join our fully remote team and help build the foundation for WellTheory’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 at scale. Our current stack includes BigQuery, 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 BigQuery 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 WellTheory evolve toward a data-first, insight-driven culture.
About You These are not requirements but describe someone who might be a great fit for WellTheory 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 WellTheory’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.
Who We’re Looking For Outside of the specific role, here are qualities that make someone successful at WellTheory:
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 effectively convey that to potential customers.
Beginner’s mindset. You have a love of learning and like to solve problems from the ground up. You’re a curious person and embrace the opportunity to explore the unfamiliar aspects of your role, ask questions, and seek understanding without fear of judgment. You openly admit when you make mistakes and are open‑minded when it comes to new approaches of problem‑solving.
Unreasonably relentless. You’ve been called a “force of nature” and have done something most people wouldn’t (e.g., ran a marathon, started a company, got a degree while working full‑time, and/or overcame difficult adversities). Persistence is your middle name and you don’t give up easily.
What You’ll Do
Design, build, and maintain scalable data pipelines to collect, clean, and transform data from multiple sources (product, care operations, member engagement, client reporting).
Audit and improve our existing BigQuery and Superset setup, identifying opportunities for optimization, cost savings, and reliability improvements.
Model and document our data architecture to support analytics, product insights, and internal tools — ensuring consistent definitions across the business.
Partner with Product and Engineering to ensure new features and systems are instrumented with clean, trustworthy data for analysis and AI use cases.
Develop frameworks for data quality, testing, and observability, ensuring high trust in our metrics and dashboards.
Collaborate cross‑functionally to support reporting and analytics needs across care delivery, operations, and client success.
Contribute to the company’s data strategy, laying the groundwork for future hires and helping WellTheory evolve toward a data‑first, insight‑driven culture.
Details : Location: Remote
Role type: Full‑time
Reports to: Head of Product
What we offer: competitive salary and equity, interesting and challenging work, generous PTO, health/dental/vision insurance, health FSA, home office stipend, regular team events and off‑sites
Interested? Email careers@welltheory.com with " Application: Data Engineer " in the subject line along with:
Resume or LinkedIn
Github
What is your unique superpower?
What’s your favorite health or wellness‑related topic to nerd out on and why?
About WellTheory Autoimmune disease is one of the fastest‑growing and most costly categories in healthcare today. It impacts over 50 million Americans and costs the system more than $160 billion annually. It’s also one of the most misunderstood. For too long, patients have been dismissed, unheard, and left without answers. WellTheory is on a mission to change that. We’re building something we wish had existed years ago on our own journeys — care that’s truly personalized, proactive, and rooted in compassion.
This is an exciting moment to join our team. We’ve raised $26.2M in funding and are backed by top‑tier investors like General Catalyst, Accel, 7wire, Box Group and Up2 Opportunity Fund. In the past year, we’ve grown 10x in membership and 5x in revenue.
At WellTheory, we believe that anything can be achieved through pure will, determination, and grit and value teammates with a similar mentality. We are remote‑first and use asynchronous tools like Linear, Loom, and Notion to collaborate across time zones and maximize heads‑down time. If this sounds like a good fit, we hope you’ll join us
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At WellTheory, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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