Top 395 Data engineer, league analytics & infrastructure Jobs in New York, Ny

Data Engineer, League Analytics & Infrastructure
Major League Baseball —New York, NY
- $115,000 - $140,000 a year
- Email
- Azure
- Computer Science
- Mid-level
- Paid parental leave
- Paid holidays
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Quantitative Data Engineer
Jacobs Levy Equity Management —Florham Park, NJ
- $150,000 - $250,000 a year
- Email
- Computer Science
- Research
- Mid-level
- Profit sharing
- Health insurance
Data Scientist & Engineer
NYU Langone Health —New York, NY
- $84,577.92 - $110,250.00 a year
- Online Application
- Computer Science
- System design
- Mid-level
- Wellness program
Data Engineer
Actively AI —New York, NY
- $120,000 - $210,000 a year
- Full-time
- Mid-level
- Office
- SQL
- Health insurance
- Dental insurance
Data Engineer
Child Mind Institute —New York, NY
- $119,000 - $150,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- 5 years
- Paid parental leave
- Health insurance
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Data Engineer
Candid Health —New York, NY
- $165,000 - $205,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- Writing skills
- Health insurance
AI & Data Systems Engineer (Remote)
Ceribell, Inc —New York, NY
- $141,000 - $173,000 a year
- Email
- Remote
- Azure
- Computer Science
- Salesforce
- Employee stock purchase plan
- Paid holidays
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Software Engineer, Data Infrastructure
The Voleon Group —New York, NY
- $235,000 - $300,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Office
- Referral program
Data Engineer
Citi —New York, NY
- $142,320 - $213,480 a year
- Full-time
- 5 years
- System design
- Mid-level
- Paid holidays
- Disability insurance
3d
Data Engineer
DCI Solutions —New York, NY
- $175,000 - $260,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- SQL
- Health savings account
- Relocation assistance
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11d
Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ
Yoh, A Day & Zimmermann Company —Jersey City, NJ
- $65 - $80 an hour
- Contract
- Hybrid work
- Office
- 8 years
- Fair chance
- Health savings account
- Disability insurance
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CIB, Structured Finance Strategy & Business Development Analyst
Santander Bank —New York, NY
- $90,000 - $125,000 a year
- Mid-level
- Office
- Bachelor's degree
Lead Data Engineer – Vice President
Citi —Jersey City, NJ
- $142,320 - $213,480 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Paid holidays
- Disability insurance
1d
Big Data PySpark Lead Engineer - Vice President
Citi —Jersey City, NJ
- $142,320 - $213,480 a year
- Full-time
- 6 years
- System design
- Office
- Paid holidays
- Disability insurance
1d
Data Center Mechanical Engineer
H5 Data Centers —Secaucus, NJ
- $140,000 - $150,000 a year
- Full-time
- 7 years
- Continuous improvement
- Travel
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Data Engineer
Chelsea Technologies —New York, NY
- $130,000 - $140,000 a year
- Full-time
- Azure
- 5 years
- Office
Quick Apply
Data Analytics AI Engineer
Fireblocks —New York, NY
- $156,000 - $204,000 a year
- 5 years
- Office
- SQL
Quick Apply
Data Engineer
Tabs —New York, NY
- $160,000 - $195,000 a year
- Full-time
- 5 years
- SQL
- Senior level
- Health insurance
- Dental insurance
Quick Apply
Data Engineer - Director
Morgan Stanley —New York, NY
- $120,000 - $155,000 a year
- Full-time
- Office
- SQL
- Senior level
Senior Data and Analytics Engineer
Velir —New York, NY
- $160,000 - $175,000 a year
- Hybrid work
- English
- SQL
- AWS
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data engineer, league analytics & infrastructure jobs near new york, ny

Data Engineer, League Analytics & Infrastructure

Major League Baseball -
New York, NY

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Job Details

$115,000 - $140,000 a year

Benefits

Paid parental leave
Paid holidays
Tuition reimbursement
Paid time off
Parental leave
Employee assistance program
Pet insurance

Qualifications

SQL
Query management

Full Job Description

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 wiring
Architect 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 documentation
Operate the ingestion layer using Pub/Sub, GCS, Dataflow, and Knowledge Catalog DataPlex) to land both batch and streaming sources cleanly into the lakehouse
Implement observability and monitoring standards so that data quality issues surface before stakeholders notice them, not after
Manage code through GitHub-based CI/CD, contributing to the deployment workflows that keep our platform reliable and our changes safe
Adhere to data governance practices that keep proprietary baseball data secure and compliant

Qualifications & Skills

2–4 years of production data engineering experience
Expert-level SQL — comfortable writing complex freehand queries (sub-queries, nested logic, window functions) and reading someone else's to spot issues
Strong Python for data processing, scripting, and automation
Hands-on dbt experience — you've built models across staging, intermediate, and mart layers, written tests, and shipped to production
Production Airflow experience — DAG authoring, dependency management, debugging failed runs
Deep familiarity with Google Cloud Platform (BigQuery, GCS, Pub/Sub) or equivalent depth in AWS/Azure with willingness to convert
Git-based development workflows — branches, PRs, code review as a daily practice
You communicate clearly with both engineers and non-engineers, take feedback well, and give it kindly
Execution mindset. You can own a project from requirements to deployment with minimal oversight.

Nice-to-Have

A degree in Computer Science, Engineering, or a related field — or non-traditional background with equivalent practical experience
Experience with Terraform or other Infrastructure-as-Code tools
Experience 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 efficiency
A passion for baseball, or prior experience in sports, media, or entertainment
Ability to build creative solutions for unusual problems

Salary Range: $115,000 - $140,000 (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 Contributed 401K Plan
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 [email protected]. 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!

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Refine Your Search

data engineer, league analytics & infrastructure jobs in new york, ny

Data Engineer, League Analytics & Infrastructure

Quantitative Data Engineer

Data Scientist & Engineer

Data Engineer

Data Engineer

Data Engineer

AI & Data Systems Engineer (Remote)

Software Engineer, Data Infrastructure

Data Engineer

Data Engineer

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ

CIB, Structured Finance Strategy & Business Development Analyst

Lead Data Engineer – Vice President

Big Data PySpark Lead Engineer - Vice President

Data Center Mechanical Engineer

Data Engineer

Data Analytics AI Engineer

Data Engineer

Data Engineer - Director

Senior Data and Analytics Engineer

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