Teamworks

Data Engineer I

Teamworks1 months ago
Location

United States

Workplace

Remote

Type

Full Time

Salary

USD 145,000 – 145,000

Level

Junior

Role

Data Engineer

Posted

Jun 1, 2026

Full TimeRemoteJunior

The role

Summary

Teamworks is seeking a Data Engineer I to join their Data Platform team, focusing on building and maintaining production data pipelines for athletic and tactical performance data. The role involves working with cutting-edge data infrastructure, participating in lakehouse development, and growing alongside senior engineers in a dynamic sports technology environment.

What you'll do

Data Pipeline Development: Build and maintain production data pipelines that consolidate performance and product data into the lakehouse with robust documentation, testing, and observability
Infrastructure as Code: Contribute to platform code and Terraform-based infrastructure development under senior engineer guidance, applying industry best practices
Data Integration: Collaborate with product engineering and domain experts to design schema conventions and integrate new data sources effectively
System Reliability: Take ownership of built components, including on-call rotations, SLO management, and creating runbooks and post-incident learnings
Reliability Engineering: Proactively identify potential pipeline failure points, implement graceful error handling, and improve overall system reliability

What we look for

Technical

ProgrammingProficiency in Python with experience writing and deploying production-quality code
Data WarehousingWorking knowledge of SQL and modern data warehouse/lakehouse technologies (Snowflake, Databricks, BigQuery, Redshift)
Cloud InfrastructureExposure to AWS and infrastructure-as-code practices using Terraform

Education

Academic BackgroundBachelor's Degree or higher in Computer Science (preferred)

Experience

Professional ExperienceMinimum 2 years of professional experience in data engineering, software engineering, or related production systems role

Skills

Required skills

PythonProduction-level Python programming with code review and deployment experience
SQLStrong SQL skills for data manipulation and querying
TroubleshootingStrong problem-solving and analytical troubleshooting skills

Nice to have

Data ToolsExperience with Spark, Databricks, Trino, dbt, or Airflow
Lakehouse TechnologiesFamiliarity with Delta Lake, Iceberg, Hudi, or modern data observability tools
AI Development ToolsActive use of AI coding assistants like Claude, Cursor, or Copilot
Sports DataBackground or understanding of sports performance data modeling

Compensation & benefits

Salary

USD 145,000 – 145,000 (annual)

Benefits

Professional Development

Mentorship from senior engineers and opportunities for rapid skill growth

Inclusive Workplace

Commitment to diversity, equity, and inclusion in hiring and work culture

Meaningful Work

Building infrastructure for sports organizations worldwide, from collegiate to professional leagues

Interview process

  1. 1
    Initial Screening — Phone or video interview with recruiting team to assess initial fit
  2. 2
    Technical Assessment — Coding challenge or technical interview focusing on data engineering skills
  3. 3
    Team Interview — Multiple interviews with Data Platform team members to evaluate technical and cultural fit
  4. 4
    Final Interview — Discussion with hiring manager about role expectations and career growth opportunities
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Teamworks

Teamworks

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Your unified platform for data-driven talent acquisition, seamless operations, and holistic performance development.Digitize the athlete lifecycle and consolidate your tech stack with the only integrated technology platform specifically designed for elite sports teams.

North Carolina, USAFounded 2006teamworks.com

Tech Stack

Languages
PythonSQL
Frameworks
Terraform
Databases
SnowflakeDatabricks
Tools
AWSAirflow
Other
Delta Lake
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