Data Engineer

sumersports; Germany (OH); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Competitive Salary and Bonus Plan

Comprehensive health insurance plan

Retirement savings plan (401k) with company match

Flexible, unlimited time off policy

Generous paid holiday schedule

Job summary

A leading sports technology company is seeking a Data Engineer to design and maintain data pipelines powering AI-driven products. The ideal candidate should possess experience in data engineering and be proficient in Python, SQL, and big-data frameworks like Databricks and Spark. This position includes competitive salary, remote work, and a flexible time-off policy.

Qualifications

• 3–6 years of experience as a Data Engineer or ETL Developer in a production environment.
• Deep understanding of data modeling, data warehousing, and distributed data processing.
• Experience with cloud infrastructure like AWS, GCP, or Azure.

Responsibilities

• Build and operate robust data pipelines for ingestion, cleaning, and transformation.
• Develop efficient ETL/ELT workflows using Python and SQL.
• Collaborate with ML and AI teams to deliver high-quality datasets for various models.

Skills

Proficiency in Python

Strong familiarity with Databricks

Experience with Airflow

Data modeling

Knowledge of data warehousing

Familiarity with GitHub Actions

Tools

Databricks

Airflow

SQL

Python

Job description

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, Luigior 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 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).
• Exposure to best practices in machine-learning model management and MLOps.

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