Data Engineer

SESLOC Credit Union • San Luis Obispo, CA

1d

About The Position

At SESLOC, it is the people that make the place. Rooted in academics, and locally headquartered for over 80 years, we are the credit union with the funny name. But to us, financial dreams and goals are serious business.
Job Summary:
The Data Engineer is responsible for the effective management and governance of SESLOC's data assets, supporting data scale, quality and compliance across the organization. This role includes developing and maintaining data governance practices, supporting compliance with data policies and regulations, and partnering with SESLOC's data analytics community. This position works with the technology that collects, stores and processes SESLOC's data assets and plays a key role in maintaining data quality, integrity, security, reliability and accessibility through the application of strong data management practices.
For a detailed description of job responsibilities, please view the attached job description.

Requirements

• A bachelor's degree with an emphasis in Computer Science, Information Technology, Data Science and two to four years of progressive experience in data management, data analytics, data governance or related field.
• Proficiency in SQL for querying and managing databases and Python or R for data manipulation and analysis
• Ability to remain informed about industry trends and developments that affect the role, business area(s) and the Information Technology environment.

Nice To Haves

• Experience applying data governance frameworks (DAMA-DMBok, DCAM and COBIT) preferred
• Familiarity with data warehousing concepts and structures
• Experience with business intelligence (BI) tools or data visualization tools (e.g. Spotfire, Tableau, Power BI)
• Experience with data quality, data modeling and data integrity tools and practices
• Ability to analyze datasets, identify trends and anomalies, and recommend data quality improvements
• Ability to work collaboratively with cross-functional teams to promote data literacy and data best practices
• Experience solving ETL related challenges, including troubleshooting and optimization

Benefits

• competitive compensation
• excellent benefits including fully paid employee medical, dental and vision
• vacation, sick, holiday time off
• 401k with generous employer match

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees