Data Engineer I

🕒 3 days ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $145k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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Teamworks

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

⚽ Sports

☁️ SaaS

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $235M Series F - Teamworks on 2025-06

Sports • SaaS • Artificial Intelligence

Teamworks is a SaaS "Operating System for Sports" that unifies communication, roster and personnel management, scheduling, performance, coaching, compliance, inventory, nutrition, and other operations for professional, collegiate, Olympic/NGB, and military/tactical teams. The platform centralizes workflows, file sharing, automated processes, and AI-driven analytics (Teamworks Intelligence) to inform talent acquisition, roster construction, athlete evaluation, and game strategy. Teamworks serves thousands of teams and hundreds of collegiate departments and professional organizations worldwide, helping organizations coordinate staff and athletes, streamline operations, and improve performance.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Offers Equity • Offers Bonus