Sr Data Engineer

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 $-$ annually. The full Pay Range is $ - $ 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.

because people helping people starts with supporting you

• 401(k) Company Match (up to 3%)

• 4% annual contribution to your 401(k) by BECU

• Medical, Dental and Vision (family contributions as well)

• PTO Program + Exchange Program

• Tuition Reimbursement Program

• BECU Cares volunteer time off + donation match

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.

To join our dynamic team, we require candidates to be residents of WA,OR,, AZ, TX, GA, SC, NC,CAor VA.

Ifyou'relocate din Washington state and within a reasonable driving distance from Tukwila, we arerequestingthat you come into our HQ on Tuesdays & Wednesdays.

For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment

• Design Enterprise Data Solutions: Design and develop complex, multi-tier systems including analysis, coding, testing, debugging, and documentation for cloud-native data solutions and integration services.

• Build Scalable Data Pipelines: Coordinate, support, and execute the design and development of complex data workflows, including batch, near real-time, and API-based integrations.

• Drive Technical Innovation: Design and support prototypes, proofs of concept, and scalable data solutions that balance technical excellence with business needs.

• Champion Data Governance: Support and implement metadata management, master data policies, data quality standards, lineage, and governance practices within data workflows and pipelines.

• Enable Data Curation: Organize and guide data curation policies across data platforms and workflows based on technical requirements.

• Support and Mentor Data Engineering Teams: Support, mentor, organize, and coordinate small to medium-sized teams through design reviews, code reviews, testing efforts, and development activities.

• Collaborate on Technology Strategy: Partner with Architects, Product Owners, and leadership teams to document technology roadmaps, cloud modernization initiatives, and future-state data platform strategies.

• Elevate Engineering Excellence: Contribute to coding standards, CI/CD practices, automated testing, and code quality initiatives while helping define and improve engineering best practices.

• Enhance Reliability and Observability: Support monitoring and observability capabilities that improve visibility into pipeline performance, reliability, and operational outcomes.

• Leverage Modern Engineering Tools: Utilize automation and AI-assisted development tools, including Git Hub Copilot and related technologies, to improve productivity and code quality.

• Partner Across Functions: Collaborate with architecture, governance, security, and platform engineering teams to deliver secure, scalable, reusable data products and services.

• Communicate Technical Expertise: Present technical topics to…