Data Engineer I

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Data Engineer I United States, Raleigh-Durham 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

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