SumerSports

SumerSports

Data Engineer

Remote (United States)

Sponsorship not specifiedDetected 252 days ago
PythonGitSQLDatabricksAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDGitHub ActionsKafkaMachine LearningDeep LearningSparkAirflowData EngineeringLLMsLLMOpsMLOpsAI OrchestrationUnity

About the role

  • SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs.
  • What sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience.
  • You'll work across ingestion, transformation, and orchestration layers - from real-time feeds to analytics-ready datasets.

Responsibilities

  • 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.
  • 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
  • Experience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect.
  • 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.

Nice to have

  • Experience with sports, telemetry, or sensor data pipelines.
  • Familiarity with streaming frameworks (Kafka, Spark Structured Streaming, Flink).
  • General knowledge of American football, the NFL, and college football Background in data governance, lineage, and observability tools (Monte Carlo, Great Expectations, Unity Catalog, OpenLineage).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Skills

  • Our data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints.
  • The platform also serves the NCAA, offering insights around the transfer portal and more.

This listing is sourced directly from SumerSports's careers page and normalized into a canonical job model.