Data Engineer – Remote
Core
Building scalable data pipelines and analytics-ready assets to support sports, live events, venues, and operational environments.
Role type
Senior Data Engineer (Cloud & Data Warehousing)
Builds
Production data pipelines, trusted datasets, and analytics infrastructure for global clients in sports and live entertainment.
Domain
Sports & Entertainment / Live Events / Stadiums & Arenas
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, cloud platforms (AWS/Azure/GCP), ETL/ELT development, data orchestration (dbt/Airflow/Dagster/Spark), data warehousing, software engineering practices (Git/CI/CD), API integration, data quality monitoring
Preferred skills
Real-time/event-driven data architectures, analytics/AI support, modern DevOps practices, reusable data product design
Technologies
AWS, Azure, GCP, dbt, Spark, Airflow, Dagster
Responsibilities
Build and maintain modern data pipelines across ingestion, transformation, validation, and serving layers; Develop reusable transformation logic and trusted datasets for analytics and reporting; Support reliable batch and near real-time data processing workflows; Collaborate with Product Owners, Analysts, QA, DevOps, and Engineering teams; Contribute to strong engineering standards across testing, CI/CD, monitoring, and code reviews; Support troubleshooting, optimization, and operational support across cloud-based environments
Seniority
Mid-Senior, hands-on IC