Core Processor Application Dev - Enterprise Data & Analytics Senior Data Engineer

Enterprise Data & Analytics Senior Data Engineer
Hybrid | San Diego, CA
Compensation: $105,000 - $132,000 per year
Actual compensation within this range will be determined by factors including experience, qualifications, skills, internal equity, and other job-related considerations permitted by law.

As an Enterprise Data & Analytics Senior Data Engineer, you'll play a key role in shaping and expanding our Enterprise Data Warehouse and Business Intelligence environments. You'll partner with business and technology teams to design, build, and optimize enterprise-scale data solutions. This role will help drive the evolution of our Enterprise Data & Analytics platform, modernize our data ecosystem, and deliver meaningful insights that empower our business and members.

This is an exciting opportunity for an experienced data professional who enjoys working across the full data lifecycle, from architecture and integration to reporting, analytics, and cloud modernization.

Why Mission Fed?
Our culture is guided by six core values:

Integrity • Service • Commitment • Teamwork • Trust • Communication

When you join Mission Fed, you’ll become part of an award-winning organization that invests in its people, supports professional growth, and remains deeply connected to the communities we serve.

What We Offer

Competitive compensation
18 days of PTO during your first year
12 paid holidays annually
Full 6% 401(k) match
Comprehensive medical, dental, and vision coverage
Life insurance and additional voluntary benefits
Employee wellness resources, including an on-site gym
Career development opportunities
An award-winning workplace culture

What You’ll Do

Design, develop, and maintain SQL Server databases, data models, stored procedures, functions, views, and related database objects.
Build and optimize enterprise data warehouse solutions and data integration processes.
Develop and support ETL/ELT pipelines using SQL Server Integration Services (SSIS), Azure Data Factory, Python, and related technologies.
Design, develop, and maintain reporting and analytics solutions using Power BI and SQL Server Reporting Services (SSRS).
Partner with business stakeholders to understand reporting and analytics requirements and deliver effective solutions.
Support the modernization of data and analytics platforms through Microsoft Azure technologies, including Azure Data Factory, Databricks, Data Lake Storage, Synapse Analytics, Apache Spark, and Microsoft Fabric.
Ensure data quality, integrity, accuracy, and availability across enterprise systems.
Develop and maintain integrations between internal and external business systems.
Troubleshoot and resolve production issues, performance challenges, and data-related concerns.
Participate in architecture discussions and contribute to strategic data platform initiatives.
Provide technical guidance, mentorship, and code review support to team members.
Support source control, deployment, and software development lifecycle processes using Azure DevOps and Git.
Create and maintain technical documentation, standards, and best practices.
Stay current on emerging trends and technologies in data engineering, analytics, business intelligence, and cloud computing.

What You'll Bring

Bachelor's degree in Computer Science, Information Technology, Software Development, or a related field, or an equivalent combination of education and experience.
5+ years of experience in database engineering and design within OLTP and OLAP environments.
5+ years of experience developing data extraction, transformation, and loading processes using SSIS, Azure Data Factory, Python, or similar technologies.
5+ years of experience developing enterprise reporting and analytics solutions using Power BI and SSRS.
Advanced expertise with SQL Server 2016 and newer versions.
Strong understanding of:

Data warehousing concepts
Dimensional modeling and star schema design
Data modeling and normalization
ETL/ELT development
Data quality and governance
Reporting and business intelligence solutions

Experience working in Agile and Scrum environments.

Preferred Qualifications

Experience with Microsoft Azure data and analytics technologies, including:

Azure Data Factory
Azure Synapse Analytics
Azure Data Lake Storage
Databricks
Apache Spark
Microsoft Fabric

Experience with Azure DevOps, Git, CI/CD practices, and source control management.
Python development experience.
Experience supporting enterprise-scale data and analytics environments.

Build a Career with Purpose
At Mission Federal Credit Union, we believe in people helping people—and that starts with our Team Members. For more than 60 years, Mission Fed has proudly served San Diego, helping individuals, families, and businesses achieve financial well-being. We're committed to creating a workplace where people feel valued, supported, and empowered to make a meaningful impact.

If you're looking for an opportunity to grow your career, make a meaningful difference, and contribute to an organization that values its people and its purpose, we'd love to hear from you.

Apply today and help us create brighter financial futures for our members, our communities, and one another.