Data Engineer, League Analytics & Infrastructure

Major League Baseball is scaling the data platform that powers America's pastime — and we need a builder to help us do it. The League Analytics & Infrastructure (LAI) team operates the cloud foundation behind every analytics decision at MLB from Statcast player-tracking pipelines processing millions of pitch-level events to the baseball operations data that informs decisions for 30 Clubs and the Commissioner's Office.We are continuing a multi-year evolution of our GCP-native lakehouse — building out our dbt transformation layer, hardening our Airflow orchestration, and pushing more of our infrastructure into code. You will be a core contributor to that build. The systems you create will be the backbone of analytics products used across the league, and your work will be visible to engineers, analysts, and decision-makers at every level of the organization.This is a hands-on data engineering role focused on execution. Reporting to the Manager of BI Data Engineering, you'll join a small, high-performing team within LAI that values careful craftsmanship, rolls up its sleeves, and treats data as a product rather than a byproduct. You'll work upstream of our analytics engineers and analysts — designing the pipelines, models, and infrastructure they rely on every day. We are looking for someone with production experience who can hit the ground running, but also someone who's hungry to grow into the next level. "Delivering" is the aim of the game: shipping reliable pipelines, optimizing data models for the analysts and engineers downstream, and making the platform a little better with every pull request. Beyond that, we want someone who reads the codebase critically, asks why something was built a certain way, and brings ideas — about tooling, architecture, or process — that push the team forward. The standards are high, the autonomy is real, and the work is visible across the league.Responsibilities Build production-grade pipelines using Airflow and dbt to orchestrate batch and streaming transformations across GCP, so that downstream analysts and engineers can trust the data they query without checking the wiringArchitect clean, layered data models (staging intermediate mart) that serve as the single source of truth for league analytics, applying dbt best practices for materialization, testing, and documentationOperate the ingestion layer using Pub/Sub, GCS, Dataflow, and Knowledge Catalog DataPlex) to land both batch and streaming sources cleanly into the lakehouseImplement observability and monitoring standards so that data quality issues surface before stakeholders notice them, not afterManage code through GitHub-based CI/CD, contributing to the deployment workflows that keep our platform reliable and our changes safeAdhere to data governance practices that keep proprietary baseball data secure and compliantQualifications & Skills2–4 years of production data engineering experienceExpert-level SQL — comfortable writing complex freehand queries (sub-queries, nested logic, window functions) and reading someone else's to spot issuesStrong Python for data processing, scripting, and automationHands-on dbt experience — you've built models across staging, intermediate, and mart layers, written tests, and shipped to productionProduction Airflow experience — DAG authoring, dependency management, debugging failed runsDeep familiarity with Google Cloud Platform (BigQuery, GCS, Pub/Sub) or equivalent depth in AWS/Azure with willingness to convertGit-based development workflows — branches, PRs, code review as a daily practiceYou communicate clearly with both engineers and non-engineers, take feedback well, and give it kindlyExecution mindset. You can own a project from requirements to deployment with minimal oversight.Nice-to-HaveA degree in Computer Science, Engineering, or a related field — or non-traditional background with equivalent practical experienceExperience with Terraform or other Infrastructure-as-Code toolsExperience with AI-assisted development or enterprise AI tooling (Gemini Enterprise, Vertex AI). We're early but ambitious — we see AI as a lever for engineering efficiencyA passion for baseball, or prior experience in sports, media, or entertainmentAbility to build creative solutions for unusual problemsSalary Range: $115,000 - $140,000 (Base Salary) + BonusAs a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.Top MLB Perks & Benefits:Competitive Benefits PackageCompany Contributed 401K PlanPaid Time Off and HolidaysPaid Parental LeaveAccess to Free Tickets to Baseball Games & MLB.TVDiscounts at MLB Store | MLBShop.comEmployee Assistance Programs (EAP)Onsite/Online Training & Development ProgramsTuition ReimbursementDisability Benefits (short term and long term)Life and Accidental Death InsurancePet InsuranceWhy MLB?Major League Baseball (MLB) is the most historic of the major professional sports leagues in the United States and Canada. Employees love working at MLB because of the culture of growth, teamwork, and professionalism. Employees who are most successful at MLB take initiative, know how to identify problems and provide solutions, and always put the Team first. For those ready to step up to the plate and join the major leagues, MLB takes the same approach as teams do with their players: empowering our “workforce athletes” to be at their best by engineering experiences that put employees in the best position to succeed. Major League Baseball is looking for candidates who are passionate about growing America’s pastime to best serve its fans for decades to come.California Residents: Please see our California Recruitment Privacy Policy for more details.Colorado Residents: Colorado based applicants may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Applicants requiring a reasonable accommodation for any part of the application and hiring process, please email us at View email address on click.appcast.io. Requests received for non-disability related issues, such as following up on an application, will not receive a response.Are you ready to Step Up to the Plate? Apply below!