Sr Data Engineer

PAY RANGE

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.

• 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

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 products and 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 solutions capabilities through high quality, resilient data pipelines and scalable cloud-based data solutions that enable business analytics, data governance, automation and operational reporting through and with emerging AI-driven capabilities. To join our dynamic team, we require candidates to be residents of WA, OR, , AZ, TX, GA, SC, NC, CA or VA.

If you’re located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that 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 Secure, Cost Effective, 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…