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Data Engineer
Marlins Miami, FL
$102k-127k (estimate)
Full Time 3 Weeks Ago
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Marlins is Hiring a Data Engineer Near Miami, FL

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 department’s 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 organization’s 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.

Job Summary

JOB TYPE

Full Time

SALARY

$102k-127k (estimate)

POST DATE

05/05/2024

EXPIRATION DATE

05/29/2024

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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