Company Name: SumerSports LLC

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/t0xoxmj8cvffkk3a

Job Description: Posted 1mo agoData Engineer@ SumerSports LLCView All JobsUnited StatesRemoteFull TimeResponsibilities:Build data pipelines, Develop ETL/ELT workflows, Collaborate with ML teamsRequirements Summary:3-6 years as Data Engineer/ETL in production; Python/SQL; Databricks/Spark; Airflow/Dagster; data warehousing; CI/CD; cross-functional collaboration.Technical Tools Mentioned:Python, SQL, Databricks, Spark, Airflow, Dagster, Luigi, Prefect, Delta, Parquet, Iceberg, GitHub Actions
As a Data Engineer, you’ll design, build, and maintain the data pipelines that power our deep learning and LLM systems. You’ll work across ingestion, transformation, and orchestration layers — from real-time feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and scalable for use by model training, analytics, and AI-driven products across multiple sports. You’ll collaborate closely with our MLOps, LLMOps, and Sports Data teams to ensure seamless integration between data and AI. 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. 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.Qualifications: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. 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 footballBackground 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). Exposure to best practices in machine-learning model management and MLOps Benefits:Competitive Salary and Bonus PlanComprehensive health insurance planRetirement savings plan (401k) with company matchRemote working environmentA flexible, unlimited time off policyGenerous paid holiday schedule - 13 in total including Monday after the Super Bowl