New York Mets · 1 day ago
Junior Data Engineer
The New York Mets are seeking a Data Engineer for its Data Engineering Technology team. This role is a unique opportunity to work with data and systems in support of operations in both baseball and the business of baseball. Responsibilities include ingesting, processing, and distributing data, as well as collaborating with a global team of data engineering professionals.
AssociationBaseballSports
Responsibilities
Ensure all production data sources are optimally ingested, processed, and distributed to applications, dashboards and users at set frequencies including real time in-game data
Onboard new datasets and technologies for use by analysts, data scientists, players and other stakeholders throughout the organization
Troubleshoot, communicate, mitigate and solve any data ingestion and/or quality issues to all stakeholders
Design, code, test and roll out new datasets, as well as enhance and bug fix existing datasets
Support quantitative analysts in Baseball and Business Analytics with production deployments and maintenance of machine learning and other predictive models
Build and manage Data Model, Data Domains and Data Catalog to keep data well-organized, accurate and curated for efficient data discovery
Deploy and manage data quality solutions (e.g. scalable framework, monitoring dashboard) to ensure accuracy, integrity, and proactive monitoring of information
Help maintain a data catalog for efficient data discovery
Actively collaborate with global team of Data Engineering/Support professionals on data engineering and support requests/issues
Able to work flexible schedule during the baseball season to ensure in-game support for users
Coordinate with IT and Infrastructure team to ensure a robust cloud development and production environment
Qualification
Required
BS degree in Computer Science or a related field
2+ years' experience in data engineering and data operations/support roles
Comfort level with both on-premise and cloud (GCP or Azure experience required) environments
Technical skills (Python, dbt, SQL, T-SQL, Linux) in working with ingesting, processing, and distributing large scale (both structured and unstructured) data sets
Experience extracting data from FTP and API data sources
Experience building data structures and data pipelines in the cloud, preferably Azure, Google Cloud Platform and on-prem
Experience in using modern Software Development Life Cycle (SDLC) and DevOps tools from development to production e.g. Terraform, Cloud Build, BitBucket
Ability to provide prompt support and resolution of data issues
Experience in implementing scalable data quality solutions
Knowledge of big data frameworks, database, orchestration and other data tools, such as Google Cloud Composer (Airflow), Google BigQuery, Micorsoft SQL Server, Postgres, Google Dataflow, Google Pub/Sub, etc
Ability to deliver superior customer experience through continuous process improvement
Strong analytical skills and ability to work well in a collaborative and fast paced environment
Preferred
Prior experience in or knowledge of baseball is a plus but is not required
Company
New York Mets
New York Mets is a national baseball team that competes in major league baseball as a member of the national league east division.
H1B Sponsorship
New York Mets has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2022 (1)
2021 (3)
Funding
Current Stage
Growth StageLeadership Team
Recent News
Sports Business Journal
2026-01-16
WSJ.com: US Business
2025-12-16
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