Senior Data Engineer, Enterprise Data & Analytics (Azure)
Mission Fed Credit Union
Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Benefits offered by this job
Job summary
Mission Federal Credit Union in San Diego, CA is seeking an Enterprise Data & Analytics Senior Data Engineer to help shape and expand our enterprise data warehouse and BI environments. You will partner with business and technology teams to design, build, and optimize enterprise-scale data solutions across the full data lifecycle.
This role focuses on modernizing the data ecosystem with Microsoft Azure technologies, including ADF, Synapse, Databricks, and Data Lake Storage, and delivering
Qualifications
- Bachelor's degree in computer science, IT, or related field or equivalent experience.
- 5+ years in database engineering in OLTP/OLAP environments.
- 5+ years building ETL/ELT with SSIS, ADF, Python, or similar.
- 5+ years delivering Power BI and SSRS reports.
- Strong SQL Server experience and data warehousing knowledge.
Responsibilities
- Design, develop, and maintain SQL Server databases, data models, and related objects.
- Build and optimize enterprise data warehouse solutions and data integration processes.
- Develop ETL/ELT pipelines using SSIS, Azure Data Factory, Python, and related tech.
- Create and maintain Power BI and SSRS reporting and analytics solutions.
- Partner with stakeholders to understand requirements and deliver effective solutions.
- Support modernization using Azure data technologies (ADF, Synapse, Databricks, Data Lake, Fabric).
- Ensure data quality, integrity, and availability across systems.
- Provide guidance, mentorship, and code reviews; participate in SDLC processes.
Skills
Education
Tools
Job description
Mission Federal Credit Union in San Diego, CA is seeking an Enterprise Data & Analytics Senior Data Engineer to help shape and expand our enterprise data warehouse and BI environments. You will partner with business and technology teams to design, build, and optimize enterprise-scale data solutions across the full data lifecycle.
This role focuses on modernizing the data ecosystem with Microsoft Azure technologies, including ADF, Synapse, Databricks, and Data Lake Storage, and delivering
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
