Data Engineer for Football AI & Data Platforms

Fuel Talent LLC; Bellevue (WA); On-site; USD 38,572 - 52,348; Full time

Job summary

Fuel Talent LLC is seeking a Data Engineer to design, build, and maintain data pipelines powering ML and analytics across sports data. You will work on ingestion, transformation, and orchestration from real-time feeds to analytics-ready datasets.

The role requires 3–6 years of data engineering experience, strong Python/SQL skills, and familiarity with Databricks, Spark, and orchestration tools like Airflow or Dagster. Collaboration with ML and product teams is essential.

Qualifications

• 3–6 years of experience as a Data Engineer or ETL Developer.
• Proficiency in Python and SQL.
• Experience 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.

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.
• Partner 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 workflows.
• Support performance and cost optimization across compute, storage, and orchestration systems.

Skills

Python

SQL

Data pipelines

Databricks

Spark

Airflow

Dagster

Luigi

Prefect

CI/CD

Tools

Databricks

Spark

Airflow

Dagster

Luigi

Prefect

GitHub Actions

Delta Lake

Parquet

Iceberg

Job description

Fuel Talent LLC is seeking a Data Engineer to design, build, and maintain data pipelines powering ML and analytics across sports data. You will work on ingestion, transformation, and orchestration from real-time feeds to analytics-ready datasets.

The role requires 3–6 years of data engineering experience, strong Python/SQL skills, and familiarity with Databricks, Spark, and orchestration tools like Airflow or Dagster. Collaboration with ML and product teams is essential.