> Markdown version of [/jobs/ext/1995444-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/1995444-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Colorado Rockies - **Location:** Denver, CO, United States - **Experience:** Expert - **Salary:** $140,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Database, Software Quality, Code Review, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Distributed Data Store, Python (Programming Language), Machine Learning, Operational Databases, Workflow Management Systems, AWS Cdk, Cloud Platform System, Sql Optimization, Snowflake, Apache Spark, Reliability of Systems, Cloudformation, Data Lakes, Pyspark, Terraform, Software Version Control, Data Pipelines, Databricks - **Published:** August 8, 2026 - **Apply:** https://www.teamworkonline.com/employment_opportunities/2184160/interest_expressions/new ## About the Role * 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. Preferred Skills * 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., * This role operates in a professional office and stadium environment. Occasional exposure to crowd noise, outdoor weather conditions, and extended hours during homestands, events, or special functions may be required. * 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. ## Description The Colorado Rockies Baseball Club is building an integrated baseball information platform that brings together scouting reports, player statistics, rosters, performance data, and other Baseball Operations information to support timely and informed decision-making. The Senior Data Engineer will design, build, maintain, and optimize the pipelines, data models, orchestration, and cloud infrastructure that power analytics and internal applications across Baseball Operations. This role will partner closely with Baseball Systems, analysts, developers, and end users to ensure data is accurate, accessible, reliable, and scalable. In addition to hands-on engineering responsibilities, the Senior Data Engineer will provide technical leadership by establishing best practices, improving system reliability, and mentoring other engineers., * 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., * This role generally works standard business hours. Occasional evening or weekend work may be needed to support critical production issues, releases, or time-sensitive Baseball Operations needs. * This position may be based in the Denver metropolitan area or performed remotely from an approved U.S. state, excluding Alaska and Hawaii. 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. * Remote employees should be available during Mountain Time business hours and will travel to Denver, Spring Training, affiliate sites, or Club events as needed. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Building Reliable Serverless Applications with AWS CDK and Testing](https://www.wearedevelopers.com/videos/812-building-reliable-serverless-applications-with-aws-cdk-and-testing) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)