Note: The job is a remote job and is open to candidates in USA. The Colorado Rockies Baseball Club is a professional baseball organization committed to innovation, collaboration, and evidence-based practices across its operations. The Senior Data Engineer will build and optimize data pipelines, models, orchestration, and cloud infrastructure supporting Baseball Operations analytics and internal applications while providing technical leadership and mentorship.
Responsibilities
- Design, build, and maintain scalable ETL and ELT pipelines that ingest data from external vendors, internal systems, and baseball data sources
- Develop and maintain cloud-based data infrastructure supporting storage, transformation, orchestration, analytics, and internal applications
- Model, structure, and optimize data for use by analysts, developers, researchers, and other Baseball Operations users
- Monitor and troubleshoot production pipelines, identify root causes, resolve data quality issues, and improve reliability and performance
- Partner with developers, analysts, and Baseball Operations stakeholders to translate business needs into scalable data solutions
- Establish and promote engineering best practices related to code quality, documentation, testing, version control, observability, and maintainability
- Evaluate, integrate, and manage new baseball data sources, vendor feeds, APIs, and file-based deliveries
- Support data infrastructure used for analytics, machine learning, artificial intelligence, and internal decision-support tools
- Mentor other engineers through technical guidance, code reviews, project support, and skill development
Skills
- Five or more years of data engineering experience, or an equivalent combination of experience and demonstrated capability
- Significant experience building and operating reliable production data pipelines (ETL/ELT)
- Advanced SQL and strong proficiency in Python
- Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and a modern data platform (Databricks, Snowflake, or equivalent)
- Experience developing distributed data workloads with Apache Spark / PySpark
- Experience across data modeling, orchestration, testing, observability, and production troubleshooting
- Ability to guide technical decisions and mentor less experienced engineers
- Strong communication and collaboration with both technical and non-technical stakeholders
- This position may be based in the Denver metropolitan area or performed remotely from an approved U.S. state, excluding Alaska and Hawaii
- Remote employees should be available during Mountain Time business hours and will travel to Denver, Spring Training, affiliate sites, or Club events as needed
- Must be able to remain in a stationary position for extended periods, including sitting at a desk and attending meetings
- Must be able to move throughout office, stadium, and event spaces to access equipment and interact with staff and vendors
- Must be able to communicate effectively by phone, video conference, and in person and exchange accurate information
- Ability to lift up to 15 pounds occasionally, such as a laptop bag or related office materials
- Experience with baseball data and Baseball Operations workflows — tracking, scouting, performance, player development, sports science, or biomechanics
- Experience with lakehouse, data warehouse, or data lake architecture, including scalable ingestion patterns and dimensional or layered data modeling
- Experience with workflow orchestration (Apache Airflow, Dagster, Prefect, or similar) and pipeline monitoring, data-quality testing, and operational support
- Experience building data pipelines, feature datasets, or platform infrastructure for machine learning and artificial intelligence workloads
- Familiarity with infrastructure as code (Terraform, AWS CDK, or CloudFormation)
- Bachelor's degree in a related technical field, completion of an immersive technical program, or equivalent practical experience
- Familiarity with AI-assisted development tools and their responsible use in modern engineering workflows
- Preference may be given to qualified candidates who can work from the Denver metro area due to the position's need for periodic in-person collaboration
Benefits
- Medical
- Dental
- Vision
- 401(k) with employer match
- Generous vacation and holiday program
- Employee parking
- Employer-provided game tickets to home games
- Onsite fitness classes and experiences
- Employee discounts on merchandise
- Remote work from an approved U.S. state, excluding Alaska and Hawaii, subject to the role's requirements and company approval
Company Overview
Company H1B Sponsorship