Data Engineer

Talkiatry•,

10d•$130,000 - $145,000

About The Position

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.

Requirements

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.

Nice To Haves

Experience with dbt (we use it heavily)
Experience with Airflow or another orchestration tool
Experience with ETL tools (Fivetran, Rivery, Stitch, etc.) — we use Fivetran
Familiarity with Terraform or other IaC (our DevOps team owns most of this, but exposure is useful)
Domain experience in healthcare

Responsibilities

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