I'm Scott Roberts, 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
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

Why This Role

You'll be building real production data infrastructure that customers, including professional teams, college programs, and military organizations, depend on every day. You'll learn fast alongside senior engineers who invest in mentorship and craft, with visible ownership of pipelines that matter from the first months in. This is a strong launching pad for an early-career engineer who wants to grow inside a meaningful platform buildout.

This role is not eligible for sponsorship at this time.

To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

About Teamworks

We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win.

Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email talent@teamworks.com.

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