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Data Engineer I

Teamworks · United States · Remote · Active · Ashby

Job facts

FieldValue
CompanyTeamworks
TitleData Engineer I
Normalized title-
Department / teamR&D / R&D, Engineering
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-06-02
Changed / last seen2026-06-02 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Teamworks.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in R&D.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTeamworks
Source7b8a83f1-6fe5-47a4-9ead-b662f9e22513
ATS providerAshby

Description

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. 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 [email protected] . 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.

Full job record

Job ID996bbd80283a3f4f0a88e14f7e6249ca0cd0a66d
Org IDe3f07b55-5223-4312-95f2-6029b92543be
Source ID7b8a83f1-6fe5-47a4-9ead-b662f9e22513
Board ID7b8a83f1-6fe5-47a4-9ead-b662f9e22513
Providerashby
Provider Job Key317433d0-072d-40ac-822f-0e268fa6b4c3
TitleData Engineer I
Normalized Title
Statusactive
Activeyes
Location TextUnited States
DepartmentR&D
TeamR&D, Engineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/teamworks/317433d0-072d-40ac-822f-0e268fa6b4c3
Apply URLhttps://jobs.ashbyhq.com/teamworks/317433d0-072d-40ac-822f-0e268fa6b4c3/application
First Seen At2026-06-02 13:20:29Z
Last Seen At2026-06-06 09:18:53Z
Last Checked At2026-06-06 09:18:53Z
Last Changed At2026-06-02 13:20:29Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=teamworks/date=2026-06-06/2026-06-06T09-18-42-759Z-6e845a831f9364e423f8afc120e0c296c55f19f859f3a6d0fa443190d85c541d.json
Event Fields
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  "active_status": "active"
}
Parsed Structured
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    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
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  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "R&D, Engineering",
  "title": "Data Engineer I",
  "jobUrl": "https://jobs.ashbyhq.com/teamworks/317433d0-072d-40ac-822f-0e268fa6b4c3",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/teamworks/317433d0-072d-40ac-822f-0e268fa6b4c3/application",
  "isListed": true,
  "isRemote": true,
  "location": "United States",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "R&D",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Raleigh-Durham"
    }
  ]
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/996bbd80283a3f4f0a88e14f7e6249ca0cd0a66d?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/e3f07b55-5223-4312-95f2-6029b92543beJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/7b8a83f1-6fe5-47a4-9ead-b662f9e22513JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/996bbd80283a3f4f0a88e14f7e6249ca0cd0a66d/eventsJSON