Data Engineer

We're looking for a Data Engineer to join our growing data team. You'll work alongside senior data engineers to build and maintain the pipelines, dbt models, and infrastructure that power Talkiatry's analytics, operations, and clinical reporting. This is a role for someone who has hit their stride past their first DE job — comfortable shipping reliably, breaking down ambiguous asks, and willing to mentor a teammate when needed. You'll work independently within your scope (ingestion jobs, dbt model areas, internal tooling), partner with our BI / Analytics Engineering team who depend on your work, and take operational responsibility through on-call coverage. About Talkiatry Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. You Will: Build and maintain ingestion pipelines and Python services running on AWS (Lambda, ECS) Develop and maintain dbt models in our Snowflake warehouse, with thoughtful tests and documentation Take operational responsibility — participate in the on-call rotation, triage pipeline failures, contribute to post-mortems Partner with our BI / Analytics Engineering team to translate their needs into reliable DE work Migrate independently-scheduled tasks and pipelines into Airflow DAGs as we standardize orchestration Contribute to our CI/CD pipelines (GitHub Actions) and team standards Mentor newer team members and review their work You Have: 2+ years working as a Data Engineer (or in a closely-related role: backend engineering with substantial data work, analytics engineering, etc.) Strong Python — you're a programmer, not just someone who can write SQL. You can write clear, testable Python and understand idiomatic patterns. Advanced SQL — you've written non-trivial queries against a cloud warehouse, you understand window functions, joins, and how to write SQL that performs. Conceptual understanding of CI/CD pipelines — you don't need to have built one yourself, but you understand what they do and why they matter. Experience with a cloud data warehouse (Snowflake, Redshift, BigQuery, etc.); Snowflake preferred. Comfortable in a cloud computing environment , ideally AWS. Bachelor's degree in computer science or similar is preferred but not required.