Lead Data Engineer
Listed on 2026-02-20
-
IT/Tech
Data Engineer
Description
Lead Data Engineer will play a critical role in designing, building, and maintaining the data architecture that powers enterprise business intelligence and analytics at the credit union. This individual will serve as a hands‑on senior data engineer mentoring more junior team members and partnering closely with BI developers, analysts and business stakeholders to deliver trusted, scalable, and well‑governed data solutions. This role is ideal for a technically strong data professional who enjoys balancing architecture, engineering and data enablement in a regulated financial environment and who is also excited by the prospect of taking the Data & Analytics practice to the next level of maturity.
BusinessHours
Monday to Friday, 8:30 a.m. – 5:30 p.m.*
Based upon business needs, positions may require working flexible hours, including weekends.
Location & Remote WorkThis position is based in Anaheim Hills, CA with the opportunity to work on a hybrid‑remote schedule consisting of 2 days in‑office and 3 days working remote from home.
Why Work at CU SoCal?CU SoCal is one of the fastest growing credit unions and is more than just a place to work. It’s a place where people come before profit, a place where you can build a career that’s more than a job, and where the work you do has meaning and purpose. We offer competitive pay, great health benefits and a culture like no other!
CompanyCulture
CU SoCal is a Gallup Exceptional Workplace Award Recipient. In 2025, Credit Union of Southern California (CU SoCal) was once again honored with the award, marking our second consecutive win and ranking us among the top workplaces worldwide for outstanding employee engagement! The CU SoCal culture fosters Building Better Lives for our Members, personal development, open communication, and genuine care for each other.
We prioritize C.A.R.E. 4: professional competence, positive attitude, relationship building, and eager service to others.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience)
- 10+ years of experience in data and analytics engineering and support operations
- Deep experience working with data warehouses or lakehouse platforms (cloud or on‑prem)
- Experience with Snowflake/AWS cloud data platform
- Advanced proficiency with SQL and at least one data transformation framework or ETL/ELT tool
- Solid understanding of data governance, data quality, and security concepts
- Experience in financial services, banking or credit unions
- Strong experience designing analytical data models (star schema, snowflake, fact/dimension modeling)
- Experience designing and evolving enterprise data architecture that supports reporting, analytics and self‑service BI
- Ability to define and maintain logical and physical data models (dimensional, relational and analytical)
- Understanding of data standards, naming conventions and modeling best practices
- Working knowledge of aligning architecture with security, privacy, regulatory and governance requirements
- Ability to develop in Tableau Desktop independently as needed
- Familiarity with CI/CD, version control
- Experience with metadata management or data catalog tools
- Comfortable working within the Agile framework
- Proficient in all applicable MS Office programs (Word, Excel, Outlook, Teams, etc.)
- Provide mentorship and technical guidance to team members
- Collaborative mindset with a passion for enabling data‑driven decisions
- Ability to think strategically while remaining hands‑on
- Strong communication skills with technical and non‑technical stakeholders
- Attention to data accuracy, reliability and compliance
- Design, build and maintain scalable data pipelines (batch and/or near‑real‑time)
- Ingest, transform and integrate data from core banking systems, third‑party vendors and internal applications
- Optimize data performance, reliability and cost across storage and compute layers in Snowflake
- Implement data quality checks, monitoring and error handling
- Partner with BI developers and analysts to ensure data structures support reporting and analytics needs
- Create…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).