Houston Astros
• $75K — $90K *Qualifications
Responsibilities
Benefits
Job Description:
Summary:
The New York Mets are seeking a Data Engineerfor itsData Engineering Technology team. Thisrole is a unique opportunity to work with data and systems insupport of operations inboth baseball and the business of baseball. It requireshands-onexperience in ingesting, processing,storing,optimizingand distributing structured and unstructured sources ofdatain areas as diverse as ticketing operations,business strategy,baseball analytics, performancetechnologyand other key areas. You will join a global team (NY and Poland) of data engineering professionalswhoprovideand supportbest in class end-to-end data and engineering servicesto Baseballand BusinessOperations, including but not limited to, Analytics and Systems teams. Prior experience in or knowledge of baseball is a plus but is notrequired.
Essential Duties & 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,playersand other stakeholders throughout the organization
Troubleshoot, communicate,mitigateand 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, DataDomainsand Data Catalog to keep data well-organized,accurateand curated for efficient data discovery
Deploy and manage data quality solutions (e.g.scalable framework,monitoringdashboard) to ensure accuracy, integrity, and proactive monitoring of information
Helpmaintaina 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
Qualifications:
BS degree in Computer Science or a related field
2+ years experience in data engineering and data operations/support roles
Comfort level with bothon-premiseand cloud (GCP or Azure experiencerequired) 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 productione.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,orchestrationand other data tools, such as Google Cloud Composer (Airflow), GoogleBigQuery,MicorsoftSQL 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
The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skillsrequiredfor this position. Nothing in this job description restricts managements right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned orrequested.
SalaryRange:$75,000- $90,000
For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.
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