Data Engineer

Job not on LinkedIn

🕒 February 26

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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SumerSports

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

⚽ Sports

🤖 Artificial Intelligence

☁️ SaaS

Sports • Artificial Intelligence • SaaS

SumerSports is an AI-powered sports analytics and technology company focused on football (NFL and NCAA). Combining over 500 years of NFL experience with machine learning, SumerSports offers products such as SūmerBrain for film retrieval and multi-layered data, SūmerLive for game tracking, SūmerNFL and SūmerNCAA for roster building and team optimization, and a player-verified metrics and talent exposure platform. The company produces draft guides, analytics-driven content with former scouts and Hall of Famers, and tools that serve players, teams, and fans to improve scouting, roster decisions, and performance evaluation.

📋 Description

• Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster • Develop efficient ETL/ELT workflows in Python and SQL to support both batch and streaming workloads • Collaborate with ML and AI teams to deliver high-quality datasets for training, evaluation, and production features • Model and maintain structured data assets (Delta, Parquet, Iceberg) for reliability, versioning, and lineage tracking • Implement orchestration and monitoring — schedule jobs, track dependencies, and automate recovery from failures • Ensure data quality and compliance through validation frameworks, schema enforcement, and audit logging • Contribute to data platform evolution — evaluate tools, standardize best practices, and improve developer experience • Support performance and cost optimization across compute, storage, and orchestration systems

🎯 Requirements

• 3–6 years of experience as a Data Engineer or ETL Developer in a production environment • Proficiency in Python and SQL; strong familiarity with Databricks, Spark, or equivalent big-data frameworks • Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect • Deep understanding of data modeling, data warehousing, and distributed data processing • Knowledge of modern data lakehouse architectures (Delta, Parquet, Iceberg) • Familiarity with CI/CD, GitHub Actions, and data pipeline testing frameworks • Comfort working in a cross-functional environment with ML, product, and analytics teams

🏖️ Benefits

• Competitive Salary and Bonus Plan • Comprehensive health insurance plan • Retirement savings plan (401k) with company match • Remote working environment • A flexible, unlimited time off policy • Generous paid holiday schedule - 13 in total including Monday after the Super Bowl