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Data Engineer

4 months ago

Miami, United States Miami Marlins and loanDepot park Full time

Position Summary:

The Miami Marlins are seeking a full-time Data Engineer for the Baseball Analytics department. The candidate will be responsible for designing, implementing, and optimizing ETL processes that ingest, validate, and organize baseball data. The Data Engineer will support the information requirements of our Baseball Operations deparments. Strong applicants will have experience with modern data processes and database management, with extensive knowledge of both SQL and Python.

Responsibilities:

Continuously improve the departments access to information; design, develop, and optimize ETL processes to ingest data from new data sources.
Improve completeness, cleanliness, and timeliness of existing data sources.
Write automated, production-quality Python and SQL scripts using effective code practices.
Maintain high data quality standards. Proactively identify, diagnose, and resolve data issues.
Learn, extend, and improve the existing database architecture - ensuring data is well organized for end-users and easy to connect to other data sources.
Maintain a version-controlled code repository of ETL scripts.
Collaborate with Baseball Operations staff to understand our organizations information needs.
Prioritize workflows effectively and share relevant expertise to best support data users.
Qualifications & Requirements:
Strong work ethic, attention to detail, and ability to self-direct.
Passion for engineering development, creativity, intellectual curiosity.
Excellent interpersonal, verbal, and written communication skills.
Demonstrated experience with SQL and Python.
Demonstrated experience with ETL/ELT processes and database management.
Experience working with data in various formats including JSON, CSV, etc.
Degree in Computer Science, Information Systems, or equivalent.
Understanding of and passion for baseball and baseball research.
Ability to work extended hours including evenings, weekends, and holidays.
Nice to Haves:

Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
Familiarity with cloud computing platforms such as Snowflake, GCP, or AWS.
Knowledge of container-based environments, including Docker and Kubernetes.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
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