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Mlb Data Operations Jobs (NOW HIRING)

Utilize data analytics and performance reporting to identify improvement opportunities and drive ... Strong analytical and problem-solving skills with the ability to utilize operational metrics for ...

$120 - $150/hr

Utilize data analytics and performance reporting to identify improvement opportunities and drive ... Strong analytical and problem-solving skills with the ability to utilize operational metrics for ...

New

Director, Accounting

El Segundo, CA · On-site

$150K - $190K/yr

... operations, ensuring accurate financial reporting, and maintaining strong internal controls and ... Together with MLB, Tickets.com is changing the landscape of the live sports and entertainment ...

Coordinating Producer

Detroit, MI · On-site

$70 - $90/hr

The Coordinating Producer will lead day-to-day operations and long-term planning for the Detroit ... Coordinate closely with MLB on all production elements - including talent integration, graphics ...

New

Showing results 21-40

Mlb Data Operations information

See salary details

$52K

$128.5K

$200K

How much do mlb data operations jobs pay per year?

As of Sep 3, 2026, the average yearly pay for mlb data operations in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What is MLB Data Operations?

MLB Data Operations refers to the teams and professionals responsible for collecting, verifying, managing, and distributing official data related to Major League Baseball games. This includes real-time game statistics, player performance metrics, and other essential data used by broadcasters, teams, and fans. Data Operations staff ensure the accuracy and integrity of game information, often working at ballparks or remotely to input and track every play. Their work supports everything from live broadcasts to fantasy sports and analytics.

What are the key skills and qualifications needed to thrive as an MLB Data Operations professional?

To thrive as an MLB Data Operations professional, you need strong analytical skills, attention to detail, and a background in statistics or data management, often supported by a relevant degree. Familiarity with baseball-specific data systems, SQL databases, and statistical software like R or Python is typically important. Excellent communication, problem-solving abilities, and a collaborative mindset help individuals excel in cross-functional teams and fast-paced environments. These skills ensure accurate data collection, analysis, and reporting, which are essential for informed decision-making in Major League Baseball operations.

What are some typical challenges faced by professionals in MLB Data Operations, and how can they be addressed?

Professionals in MLB Data Operations often encounter challenges such as maintaining data accuracy under tight deadlines, adapting to rapidly evolving data technologies, and ensuring seamless communication between technical and non-technical teams. Addressing these challenges involves establishing robust data validation processes, staying updated with industry best practices, and fostering strong collaboration skills. Success in this role frequently depends on attention to detail, flexibility, and the ability to troubleshoot issues quickly in a fast-paced sports environment.

What is the difference between Mlb Data Operations vs Baseball Data Analyst?

AspectMlb Data OperationsBaseball Data Analyst
Required CredentialsBachelor's in Sports Management, Data Science, or related field; familiarity with data toolsBachelor's in Statistics, Data Analysis, or related; strong analytical skills
Work EnvironmentTeam-based, within sports organizations or analytics departmentsOffice setting, often in sports analytics firms or teams
Employer & Industry UsageMajor league teams, sports data companies, MLB organizationsMLB teams, sports analytics firms, media outlets

While both roles involve working with baseball data, Mlb Data Operations focuses on managing and maintaining data systems, ensuring data accuracy, and supporting analytics infrastructure. Baseball Data Analysts primarily analyze data to generate insights, player evaluations, and strategic recommendations. Both roles are essential in the baseball industry but differ in their core responsibilities and focus areas.

What MLB Data Operations jobs are in high demand?

MLB Data Operations roles such as data analysts, database administrators, and data engineers are in high demand due to the increasing reliance on advanced analytics and technology in baseball. These positions often require skills in data management, programming, and familiarity with sports statistics tools, with a focus on accuracy and real-time data processing.
More about Mlb Data Operations jobs

What states have the most Mlb Data Operations jobs?

States with the most job openings for Mlb Data Operations jobs include:

Infographic showing various Mlb Data Operations job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 40% In-person, 20% Hybrid, and 40% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Senior Android Engineer, MLB App Feature Teams

Major League Baseball

Boulder, CO • On-site

Full-time

Life, Retirement, PTO

Re-posted 15 days ago


Job description

Major League Baseball is looking for a Senior Android Engineer, MLB App Feature Teams to join the team building the MLB App experiences that bring fans closer to the game, including personalized feeds, real-time scores and stats, notifications, widgets, advertising surfaces, and media experiences. You will own Android feature delivery end to end, from technical design and implementation through testing, rollout, observability, and production reliability.
This role is for an engineer who can operate independently in a large consumer app, make sound architecture decisions, raise the quality bar for the team, and use modern developer tools, including generative AI, responsibly and effectively.
Responsibilities
  • Build high-quality Android features in Kotlin and Jetpack Compose across app, media, and shared platform modules
  • Translate product requirements and Figma designs into polished, accessible, production-ready UI while maintaining cross-platform consistency with iOS
  • Design and implement clean, maintainable feature architecture that fits a modular Android codebase
  • Integrate REST and GraphQL APIs with resilient networking, thoughtful state handling, caching where appropriate, and clear failure states
  • Improve app performance, responsiveness, startup behavior, crash-free sessions, and overall reliability
  • Partner with Product, Design, iOS, Backend, QA, and Test Engineering to clarify requirements, shape technical plans, and define test coverage early
  • Monitor feature rollouts and production behavior using Firebase, Datadog, crash reporting, analytics, and release health signals
  • Own production issues from diagnosis through resolution, including root-cause analysis and follow-up prevention work
  • Drive measurable improvements in build time, delivery throughput, code quality, and engineering efficiency
  • Provide thoughtful PR reviews, mentor engineers, and help establish patterns that scale across feature teams
  • Use GenAI tools such as GitHub Copilot or similar assistants to accelerate implementation, refactoring, test generation, debugging, and documentation while retaining full engineering accountability
  • Validate AI-assisted work through tests, code review, static analysis, observability checks, and secure coding practices before merge
  • Follow internal AI usage guidance, repository conventions, data-handling expectations, and review standards

Qualifications & Skills
Required Qualifications
  • 6+ years of professional experience building production Android applications
  • Strong Kotlin, Android SDK, Jetpack Compose, coroutines, and modern Android architecture expertise
  • Experience working in modular Android codebases with shared core modules, design systems, and established architectural patterns
  • Strong REST and GraphQL integration experience, including error handling, async state management, and API contract collaboration
  • Proven testing discipline across unit, integration, snapshot, and UI testing, including experience running tests in CI
  • Experience diagnosing production issues using logs, metrics, crash reporting, analytics, and observability tools
  • Familiarity with push notifications, deep links, widgets, feature flags, experimentation, and release management
  • Strong Git workflow, code review, and written communication skills
  • Practical experience using GenAI developer tools to support software delivery, with the judgment to review, adapt, test, and explain generated code

Preferred Qualifications
  • Experience building high-traffic consumer apps with millions of users
  • Media, video streaming, sports, live events, or real-time data experience
  • Experience with Firebase, Datadog, GraphQL clients, analytics platforms, remote configuration, and experimentation frameworks
  • Experience improving app startup, rendering performance, memory usage, networking efficiency, or build performance
  • Experience in large shared repositories with many contributors and multiple release trains
  • Technical leadership experience, including mentoring, architecture reviews, and cross-team delivery
  • Familiarity with responsible GenAI practices, including prompt/context hygiene, AI-assisted test creation, and evaluation of generated code quality

Senior-Level Competencies
  • Drives ambiguous product and technical problems toward clear, shippable outcomes
  • Makes pragmatic tradeoffs across quality, speed, maintainability, performance, and user impact
  • Communicates technical decisions clearly to engineering and non-engineering partners
  • Raises team standards through code reviews, design feedback, mentoring, and documentation
  • Balances feature delivery with long-term platform health and operational reliability
  • Understands the broader codebase and internal tooling deeply enough to make changes safely across module boundaries
  • Uses metrics and production signals to guide decisions rather than relying only on intuition
  • Treats GenAI as a force multiplier, not a substitute for engineering judgment, ownership, or accountability

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus
As 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 Package
  • Company 401K Contribution
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance

Why 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 accommodations@mlb.com. 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!