Skip to content

Data Engineer

130k – 145kUnited StatesRemote2+ YOE
Summary

As a Data Engineer, you will build and maintain data pipelines, dbt models, and infrastructure on AWS and Snowflake. You will partner with BI/Analytics Engineering, take operational responsibility, and mentor junior team members.

About the role

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.

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

Why Talkiatry:

  • Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care
  • Collaborative environment: be part of building something from the ground up at a fast-paced startup
  • Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!
  • Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands
  • It all comes back to care: we’re a mental health company, and we put our team’s well-being first
Skills
PythonSQLSnowflakeAWSdbtAirflowFivetranTerraformGitHub Actions
Similar roles at this salary range
All Data Engineering jobs →
Loop Financial

Analytics Engineer

Build and own core data models, ETL pipelines, and analytics infrastructure to enable data-driven decisions across the company and clients. Requires 2+ years building analytical products, strong SQL/Python, and modern data stack experience.

135k – 155kChicago, ILData EngineeringOn-siteSQLdbt
Turquoise Health

Data Science Engineer, Analytics

Build data pipelines, models, dashboards, and analyses to support product and business decision-making. Requires 2+ years of Python/SQL experience with data modeling, ETL tools, and AWS.

145k – 160kSan Diego, CAData EngineeringRemoteSQLdbt
Stuut

Data Engineer

Stuut is seeking a Data Engineer to build and own their data infrastructure from the ground up. This foundational role involves designing pipelines, data models, and implementing DataOps best practices to transform financial data into actionable insights.

135k – 190kSan Francisco, CA +1Data EngineeringOn-siteSQLdbt
Otter

Senior Data Engineer

As a Software Engineer, Data Infrastructure, you will design and build resilient and scalable data systems for real-time data movement, processing, and storage. You will drive innovation in data ingestion, transformation, and delivery, enabling actionable insights across the company.

155k – 185kMountain View, CAData EngineeringHybridAWSJava
Dropbox

Data Engineer, Analytics Data Engineering

As a Data Engineer, you will build large, scalable analytics pipelines from the ground up using modern data technologies. You will define data assets, design integrations, and optimize data processing systems.

133k – 202kUnited StatesData EngineeringRemoteC++SQL