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# Data Engineer

- **Company:** Talkiatry Management Services, LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $130,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Airflow, Amazon Web Services, Data Analysis, BigQuery, Cloud Computing, Directed Acyclic Graph (Directed Graphs), Extract Transform Load (ETL), DevOps, Github, Python (Programming Language), SQL Databases, Data Ingestion, Sql Optimization, Snowflake, Information Technology, Terraform, Amazon Redshift
- **Published:** June 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6a4cb28932940f2f

## About the Role

Do you have experience in SQL?, Do you have a Bachelor's degree?, * 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 Have

 * 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

## Description

* 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


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