Sr Data Engineer

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Data EngineerData

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Quick Summary

Key Responsibilities

Design Enterprise Data Solutions: Design and develop complex, multi-tier systems including analysis, coding, testing, debugging,

Technical Tools

Data EngineerData

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?

Our “people helping people” philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.

While we’re proud of our history, we’re even more excited about our future. With business and technology transformation on the horizon, there’s never been a better time to be part of BECU.

You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.

The Target Pay Range for this position is $141,800.00-$173,300.00 annually. The full Pay Range is $110,100.00 - $204,900.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

What We Offer

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Medical, Dental and Vision (family contributions as well)

PTO Program + Exchange Program

Tuition Reimbursement Program

BECU Cares volunteer time off + donation match

The Senior Data Engineer is responsible for writing data workflows according to design specifications and completing complex development work. This role designs and codes features, automated tests, scripts, and data models while utilizing data management and governance tools. The position recommends and implements technical data solutions to address business needs, contributes to system architecture and design, and collaborates with technical leadership. Working closely with data engineers, business analysts, and systems analysts, the Sr Data Engineer builds and supports enterprise-class data pipelines and scalable cloud-based data solutions that enable operational reporting, analytics, data governance, automation, and emerging AI-driven capabilities.

Responsibilities

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The opportunity to influence the design and evolution of modern cloud-based data platforms at enterprise scale.

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Exposure to cutting-edge technologies across cloud, data engineering, automation, governance, and AI-enabled solutions.

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Opportunities to mentor and develop other engineers while contributing to a culture of technical excellence and continuous improvement

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Collaboration with cross-functional teams to deliver secure, scalable, and reusable data products that drive meaningful business outcomes

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The chance to build solutions that support analytics, operational decision-making, and future AI-driven capabilities.

Requirements

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Minimum Qualifications:

Bachelor’s degree in computer science or related discipline, or equivalent work experience.

Minimum 5 years of functional experience in data engineering.

Minimum 4 years of experience in coding languages like Python, Scala, Java, SQL.

Demonstrated experience using cloud technologies (platforms like Azure, AWS, GCP).

Demonstrated experience using Modern data platforms (Azure Synapse, Azure Databricks, Redshift, Big Query, Snowflake).

Demonstrated experience using ETL/ELT, SQL, and cloud data integration tools and Azure Services (Azure Data Factory, Azure SQL, Cosmos DB, Event Hubs, Azure Storage, Azure functions, Container apps, API Management.

Demonstrated experience using SQL, data modeling, data warehousing, data analysis including designing, building and supporting enterprise scale operational data stores (ODS), data warehouses and data lake/ Lakehouse solutions.

Experience using Continuous Integration and Continuous Delivery systems and tools such as Azure DevOps and GitHub.

Experience using Git, performing code reviews, pull requests, and following branching standards such as Git Flow or Trunk-Based Development.

Desired Qualifications:

Knowledge of financial services industry concepts, regulations, and data domains, including banking, lending, deposits, payments, and risk management

Experience building AI-ready data products and supporting AI agent architectures.

Experience with using GitHub Copilot or AI-assisted Azure OpenAI, Azure AI Search, Copilot Studio, AI Foundry, MCP integrations, or related AI technologies.

Previous experience in master data (MDM), metadata, data quality, data lineage, data cataloging and data governance tools (Alation, Erwin, Collibra, Azure Purview, Infosphere, Informatica MDM.

Experience in Test Driven Development concepts, methods, and tools. Demonstrated experience in unit testing, integration testing or performance/load testing required.

Proven ability to deliver highly scalable data solutions using a programming language compatible with the current technical environments over the entire data lifecycle (from ideation to retirement).

Proven ability to stay current with emerging technologies and new applications of existing data technologies, through work or continuing industry or education involvement.

Proven experience leading and collaborating within team, including business unit teams, to deliver solutions through all aspects of the SDLC.

Experience presenting in front of technically adept audiences.

JOIN THE JOURNEY:

Ready to make an impact? Join a team where your data engineering expertise can help drive cloud modernization, strengthen data governance, and enable the next generation of analytics and AI-powered solutions. You'll have the opportunity to solve complex challenges, influence technical direction, mentor fellow engineers, and contribute to innovative data capabilities that create meaningful business value.

Bring your passion for scalable data architecture, modern cloud technologies, and continuous improvement, and help shape the future of enterprise data engineering at BECU.

#BECU #YourGrowth #BECUJourney

BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.