Senior Data Engineer

🕒 May 28

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $185k / year

⏰ Full Time

🟠 Senior

🚰 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

• Own the design, implementation, and operation of production data pipelines that consolidate performance data and product telemetry into our lakehouse • Lead architecture and infrastructure decisions for our lakehouse platform on AWS, including IaC in Terraform, schema design, and multi-tenant isolation patterns • Drive data modeling for complex entities like time-series performance data, hierarchical org structures, and multi-source athlete profiles • Build and document the reusable patterns, runbooks, and Terraform modules that let other product teams self-serve new datasets and integrations • Raise the bar on platform reliability through observability, on-call rotation ownership, and post-incident learning that reduces toil and cost over time • Partner with product and engineering teams to evaluate and evolve the platform's technology stack as the business scales into new environments • Participate in our on-call rotation

🎯 Requirements

• 7+ years of data engineering or related experience, with strong Python proficiency for pipelines, transformations, and platform tooling • Hands-on experience designing and operating lakehouse architectures (Delta Lake, Iceberg, or Hudi) and modern processing engines (Spark, Databricks, Trino, or Snowflake) • Deep AWS experience (S3, IAM, Glue, EMR/Lambda, networking) with production-grade Infrastructure as Code in Terraform • Strong data modeling and schema design skills, with experience modeling complex entities like time-series, hierarchical, or multi-source data, and designing integration patterns across products or systems (event-driven, API, batch) with attention to reliability and multi-tenant isolation • Strong communicator who builds consensus across teams, writes RFCs and design specs, and values documentation as part of the craft.

🏖️ Benefits

• Offers Equity • Offers Bonus