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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Patelco Credit Union - **Location:** Dublin, CA, United States - **Experience:** Expert - **Salary:** $105,004.0 - $131,259.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Confluence, JIRA, Cloud Database, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Files, Data Governance, Data Warehousing, Relational Databases, Microsoft SQL Server, Systems Development Life Cycle, Cloud Services, Microsoft SharePoint, SQL Stored Procedures, SQL Databases, Tableau (Software), Technical Data Management Systems, Snowflake, Git, Information Technology, Data Analytics, Data Management, Data Pipelines - **Published:** September 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=41161ed0bbaba946 ## About the Role * 5+ years of professional experience in data & analytics technologies/solutions as data engineer or related roles * B.S. in computer science or equivalent experience. * Proficient level data engineering skills using Cloud Data Platforms - Snowflake, ADF, Stored procedures to ingest structured, semi-structured datasets using files, and RDBMS - SQL Server. * Proficient in data analysis using Tableau, SQL, and other data analysis techniques * Experience in applying Data management patterns to measure & monitor data quality. Applying data governance standards and creating technical data dictionary. * Experience in SDLC Processes, CI/CD and Agile Methodologies * Ability to work with Jira, Share Point, Confluence, Git * Innovative problem solving, and Can-do mind set. Outcome oriented and always finds a way deliver commitments. * Fast learner and quickly adopts to dynamic environment. Ability to work in a fast-paced agile team environment. * Applies & demonstrates Team-First mindset. Collaborates with team for data & analytics platform maturity. * Financial services background with preference to domain experience in Credit Union, Banking, FinTech sectors. Other financial sectors and domains is a plus ## Description The Data Engineer is a key contributor to Our Data & Analytics Strategy to transform Patelco as a Data-driven organization and position Credit Union as a Technology Leader. This position is responsible for the design, development, deploy and operations of data analytics in Modern Cloud Data & Analytics platform. You will be part of a passionate, highly collaborative team who works in a fast-paced agile environment. You will work closely with business & technology owners, product managers, data champions and cross-functional teams to support data & analytical needs and enable data-as-a-service function. The ideal candidate will be a experienced data engineering & analytics professional, excels in delivering value, familiar with modern data architectures, offering comprehensive data & analytical technology skills in Data Pipelines, Snowflake, Cloud Data & Analytics Platforms, Data Warehouse, BI Analytics & Dashboards. Preferable to have financials services domain experience from banking, credit union, fintech and other financial sectors. Responsibilities: * Develops and delivers data & analytics solutions and projects to meet organizational priorities and timelines. * Analyzes enterprise and external data sources, creates optimized & resilient data pipelines to ingest and enriches them. * Designs analytical consume ready data models by applying modern data warehouse techniques. Creates and enriches curated data models while ensuring conformed, transformed, enriched and connected data sets * Enables dashboards/reports in Tableau; Applies analytical mindset in deriving data driven insights, designs & creates intuitive dashboards and scorecards. * Practices and adheres to enterprise data standards, guidelines, data management architecture. Finds opportunities to improve best practices, identifies repeatable solutions to underlying problems. * Works with offshore and external partner resources and owns delivery of work items ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)