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

Mission Fed Credit Union

San Diego (CA)

Hybrid

USD 105,000 - 132,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
PTO 18 days first year
12 paid holidays
401(k) with 6% match
Medical, dental, vision coverage
Life insurance and voluntary benefits
On-site gym
Career development opportunities

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

SQL Server
Data modeling
ETL/ELT
Power BI
SSIS
Azure Data Factory
Azure Synapse
Databricks
SSRS
Azure DevOps

Education

Bachelor's degree in CS/IT or related field

Tools

Azure Data Factory
Azure Synapse
Databricks
Azure Data Lake Storage
Power BI
SSRS
SSIS
Azure DevOps
Git

Job description

Hybrid | San Diego, CA

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.

Your privacy is very important to Mission Federal Credit Union. The California Consumer Privacy Act(\"CCPA\")/ California Privacy Rights Act (CPRA) requires Mission Federal Credit Union to inform California residents, including job applicants, of the categories of personal information we collect and the purpose for which the personal information will be used. This job applicant notice and the CCPA/CPRA notice provides the disclosures required by the CCPA/CPRA and applies only to applicants who are subject to the CCPA/CPRA.

Mission Federal Credit Union is an Equal Opportunity Employer. All applicants will receive consideration without regard to race, sex, color, creed, religion, age, marital status, sexual orientation, national origin, physical or mental disability, veteran status, or any other class protected by law. INDMF

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