Staff Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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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

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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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

Staff Data Engineer United States, Raleigh-Durham I'm Scott Roberts , Senior Manager, Engineering at Teamworks. I lead the Data Platform team, and we're building the foundation that brings together athlete performance data, product telemetry, and the unique datasets we've accumulated through several acquisitions in the sports tech space. Right now, a lot of that data lives in disparate systems and original tech stacks, and much of it isn't yet defined or organized well enough for us to fully leverage it for analytics, ML, and the AI features we're building. My team is changing that by building a modern lakehouse that becomes the backbone of our cross-product analytics, ML, and AI, with just enough structure and ownership to move us up a level in data maturity. This is where you come in. I'm looking for a Staff Data Engineer who can co-define the technical direction of this platform, establish the standards other engineers build on, and make architectural decisions that will matter for years. You will be strategic and hands-on, as comfortable shaping the roadmap and bringing other leaders and teams along as you are writing the Python and building the pipelines. The work is highly visible, organizationally backed, and tied directly to capabilities that show up on the field for athletes and coaches. The Role - Define the technical architecture and platform standards for our lakehouse on AWS: distributed cloud architecture, schema conventions, multi-tenant isolation, and integration design - Lead design and delivery of the production pipelines that consolidate performance

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