Data Engineer I

🕒 Junho 1

🌲 North Carolina – Remoto

🌲 North Carolina – Remote

💵 $145.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🚰 Engenheiro de Dados

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Teamworks

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2005

⚽ Esportes

☁️ SaaS

🤖 Inteligência Artificial

💰 $235.000.000 Series F - Teamworks em 2025-06

Sports • SaaS • Artificial Intelligence

A Teamworks é um SaaS "Sistema Operacional para Esportes" que unifica comunicação, gestão de elenco e pessoal, agendamento, desempenho, treinamento, conformidade, inventário, nutrição e outras operações para equipes profissionais, universitárias, olímpicas/NGB e militares/táticas. A plataforma centraliza fluxos de trabalho, compartilhamento de arquivos, processos automatizados e análises impulsionadas por inteligência artificial (Teamworks Intelligence) para informar aquisição de talentos, construção de elenco, avaliação de atletas e estratégia de jogo. A Teamworks atende milhares de equipes e centenas de departamentos universitários e organizações profissionais em todo o mundo, ajudando as organizações a coordenar funcionários e atletas, otimizar operações e melhorar o desempenho.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• Offers Equity • Offers Bonus