Teamworks

R&D

DataEngineer

$145–145k United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer at Teamworks. Skills: Data pipelines, Lakehouse, Python, SQL. Build production data pipelines. Maintain production data pipelines”

Industry & Context.

R&D
Problems you'll solve

Troubleshooting instincts; Clear judgment; Failure handling

Eligibility Requirements

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

Free ATS check

Applying for this Data Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Ashby

  • Ashby is a fast modern ATS — most applications take under 3 minutes.
  • The resume parser is strong; verify parsed experience dates and job titles.
  • Custom screening questions are often scored algorithmically — answer completely.
  • Location field affects geo-based screening; use your actual metro area.

ANONYMOUS · UNFILTERED

What do employees actually say about Teamworks?

Real rants from real employees. Read before you apply.

Read Company Rants →