Data Engineer

About Patelco Credit Union Patelco Credit Union is a not-for-profit credit union with a purpose to build financial health and wellbeing for our members. Since 1936, Patelco has grown from $500 in assets to over $9 billion in assets and is the 7th largest credit union in California with branches throughout Northern California. We are here for our members throughout all their stages of life. Meeting them with the products and services to help them plan purposefully for their futures and to secure our life-long partnership as their trusted financial advocate. As one team, we are all committed to delivering service, empowering financial literacy, creating products, and providing new technology for our members. We believe that work should be rewarding, challenging, and enjoyable. We're dedicated to creating a positive and supportive culture where our team members can thrive. If you're looking to use your skills and knowledge to make a difference in our members' lives, Patelco could be the perfect fit for you. Overview 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 Qualifications 5+ years of professional experience in Data Engineering, Analytics Engineering, Data Platforms, or related data & AI roles. Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or equivalent practical experience. Strong proficiency in Python for data engineering, automation, API integration, data transformation, and AI/ML solution development. Hands-on experience with modern Cloud Data Platforms such as Snowflake, Azure Data Factory (ADF), Microsoft Fabric, Databricks, Synapse Analytics, or equivalent technologies. Expertise in designing and building scalable data pipelines to ingest, process, and manage structured, semi-structured, and unstructured data from files, APIs, databases, and cloud sources. Advanced SQL skills and experience working with relational databases such as SQL Server and cloud-native data warehouses. Experience leveraging Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Vector Databases, and AI-powered analytics solutions in enterprise environments. Proficiency in data visualization and analytics tools such as Power BI, Tableau, Python visualization libraries, and self-service analytics platforms. Experience implementing data quality frameworks, data observability, metadata management, data governance standards, and technical data catalogs/dictionaries. Familiarity with Machine Learning lifecycle concepts (MLOps) including model deployment, monitoring, prompt engineering, and responsible AI practices. Experience with DevOps, CI/CD, Infrastructure as Code (IaC), Git-based development workflows, and Agile/Scrum methodologies. Proficiency with collaboration and project management tools including Jira, Confluence, SharePoint, GitHub/GitLab, and Azure DevOps. Strong analytical thinking and innovative problem-solving skills with the ability to leverage AI-assisted development tools to accelerate delivery and improve productivity. Proven ability to rapidly learn and adopt emerging technologies in the evolving Data, Analytics, and AI landscape. Demonstrates a Team-First mindset, fostering collaboration and contributing to the maturity of enterprise Data, Analytics, and AI platforms. Experience in Financial Services, Banking, Credit Union, FinTech, or related regulated industries is preferred. Knowledge of data security, privacy, compliance, and Responsible AI governance within regulated environments is highly desirable. Preferred Skills Experience with Snowflake AI services, Azure OpenAI, AI Foundry, LangChain, Semantic Kernel, CrewAI, AutoGen, Streamlit, or similar AI application frameworks. Experience building AI-powered data products, conversational analytics, intelligent automation solutions, and agentic workflows. Understanding of vector search, embeddings, knowledge retrieval systems, and enterprise AI architecture patterns. Target Base Pay $105,004- $131,259/ yr Compensation at Patelco Please note that the salary information is a general guideline only. Patelco Credit Union considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. We offer a competitive total rewards package including a Short-Term Incentive (STI) program for all regular positions and a wide range of medical, dental, vision, financial, and other benefits. We Offer Physical Health: Exceptional Medical, Dental, Vision, and Life Insurance benefits Rewards for completing wellness related activities Financial Health: Competitive compensation packages with bonus opportunity 401(k) with 3% Safe Harbor and 5% employer match Discounts on loan products Tuition reimbursement Emotional Health: Employee Assistance Program (EAP) PTO for part-time and full-time positions Paid holidays Personal Development: On-the-job training and skills development Internal transfer opportunities for career growth Volunteer work Patelco Credit Union is an Equal Opportunity Employer including individuals with disabilities and protected veterans IND123 Patelco Credit Union