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Teamworks

Data Engineer I

Teamworks

Data Engineer I building production data pipelines for Teamworks' platform. Collaborating with engineers and SMEs to improve data reliability and integration.

Posted 6/1/2026full-timeRemote • North Carolina • 🇺🇸 United StatesJuniorMid-Level💰 $145,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSBigQueryPythonSparkSQLTerraform

About the role

Key responsibilities & impact
  • Build and maintain production data pipelines that move performance and product data into the lakehouse with documented schemas, tests, and observability
  • Contribute to platform code and Terraform-based infrastructure under the guidance of senior engineers, applying standard patterns and best practices
  • Partner with product engineering and domain SMEs to design schema conventions and integrate new data sources cleanly
  • Take ownership of components you build, including rotating on-call coverage, responding within SLOs, and contributing runbooks and post-incident learnings
  • Anticipate where pipelines can break, build in graceful failure handling, and raise reliability for the components you own

Requirements

What you’ll need
  • 2+ years of professional experience in data engineering, software engineering, or a closely related role building production systems
  • Hands-on experience writing and shipping production-quality Python code, with a track record of code that's been reviewed, tested, and deployed
  • Working knowledge of SQL and modern data warehouse or lakehouse concepts (e.g., Snowflake, Databricks, BigQuery, Redshift, Delta Lake, Iceberg)
  • Exposure to AWS and willingness to grow into infrastructure-as-code practices using Terraform
  • Strong troubleshooting instincts and clear judgment on when to ask for help vs. push through
  • Comfortable participating in a rotating on-call schedule
  • Even Better If: You've worked with Spark, Databricks, Trino, dbt, or Airflow in production
  • You have exposure to lakehouse architectures (Delta, Iceberg, Hudi) or modern data observability tooling
  • You've actively used AI tools (Claude, Cursor, Copilot) for spec-driven development, code, tests, or troubleshooting
  • You have experience working with sports performance data or understand the nuances of modeling athletic datasets
  • You have a Bachelor's Degree or higher in Computer Science

Benefits

Comp & perks
  • Offers Equity
  • Offers Bonus

ATS Keywords

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Hard Skills & Tools
PythonSQLdata engineeringproduction systemsTerraformSparkDatabricksTrinodbtAirflow
Soft Skills
troubleshootingjudgmentownershipcollaborationcommunication
Certifications
Bachelor's Degree in Computer Science