Teamworks
R&D
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Teamworks. Skills: Data pipelines, Lakehouse, Python, SQL. Build production data pipelines. Maintain production data pipelines”
Industry & Context.
Troubleshooting instincts; Clear judgment; Failure handling
Rotating on-call coverage
What They're Looking For.
Must Have
2+ years data engineering, 2+ years software engineering, Production Python code, SQL knowledge, Troubleshooting instincts, Clear judgment, Participate in on-call schedule
Nice to Have
Spark experience, Databricks experience, Trino experience, dbt experience, Airflow experience, Lakehouse architectures experience, Modern data observability tooling experience, Actively used AI tools, Experience with sports data, Understand athletic datasets nuances, Bachelor's Degree or higher
What You'll Do.
Build production data pipelines
Maintain production data pipelines
Move performance data
Observe data pipelines
Contribute platform code
Contribute Terraform infrastructure
Apply standard patterns
Partner with product engineering
Partner with domain SMEs
Design schema conventions
Integrate new data sources
Take ownership of components
Rotate on-call coverage
Contribute post-incident learnings
Anticipate pipeline breaks
Build graceful failure handling
Raise component reliability
How You'll Work.
Team & Collaboration
Partner with product engineering; Partner with domain SMEs; Work with senior engineers
Full Job Description
I'm Scott Roberts https://www.linkedin.com/in/scottrobertsprofile/, Senior Manager, Engineering at Teamworks, and I lead the Data Platform team. We're building the lakehouse and data pipelines that consolidate performance data and product telemetry across athletic and tactical divisions, the connective tissue behind cross-product analytics, GenAI features, and customer-facing insights. There's meaningful work to own from day one, and I'm hiring a Data Engineer to join us at the build-and-ship layer and grow alongside the platform You'll work on the same stack and toward the same goals as our senior engineers, with scope calibrated to where you are now and clear room to grow into bigger ownership over time. THE ROLE - 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 WHAT I'M LOOKING FOR WHAT YOU MUST BRING - 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 - St
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