{"id":121881,"url":"https://alion.io/job/becu-sr-data-engineer","title":"Sr Data Engineer","company":{"id":2624,"name":"BECU","domain":"becu.org","url":"https://alion.io/company/becu","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":141800,"max":173300,"currency":"USD","period":"year","gross":null,"usd_annual":173300},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Alation","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Copilot","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"Erwin","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Gitflow","optional":false},{"name":"GitHub","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Master Data Management","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Trunk-Based Development","optional":false}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-17T02:58:15Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"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?\nOur “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.\nWhile 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.\nYou 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.\nPAY RANGE\nThe 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.BENEFITS - because people helping people starts with supporting you\n401(k) Company Match (up to 3%)\n\n4% annual contribution to your 401(k) by BECU\n\nMedical, Dental and Vision (family contributions as well)\n\nPTO Program + Exchange Program\n\nTuition Reimbursement Program\n\nBECU Cares volunteer time off + donation match\n\nIMPACT YOU'LL MAKE:\nThe SeniorData Engineer is responsible forwriting data workflows according to design specifications and completing complex development work. This role designs and codes features,automated tests, scripts, and data models while utilizingdata 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.\nTo join our dynamic team, we require candidates to be residents of WA, OR, ID, 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\nWHAT YOU'LL DO:\nDesign 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.\n\nBuild Scalable Data Pipelines: Coordinate, support, and execute the design and development of complex data workflows, including batch, near real-time, and API-based integrations.\n\nDrive Technical Innovation: Design and support prototypes, proofs of concept, and scalable data solutions that balance technical excellence with business needs.\n\nChampion Data Governance: Support and implement metadata management, master data policies, data quality standards, lineage, and governance practices within data workflows and pipelines.\n\nEnable Data Curation: Organize and guide data curation policies across data platforms and workflows based on technical requirements.\n\nSupport and Mentor DataEngineering Teams: Support, mentor, organize, and coordinate small to medium-sized teams through design reviews, code reviews, testing efforts, and development activities.\n\nCollaborate on Technology Strategy: Partner with Architects, Product Owners, and leadership teams to document technology roadmaps, cloud modernization initiatives, and future-state data platform strategies.\n\nElevate Engineering Excellence: Contribute to coding standards, CI/CD practices, automated testing, and code quality initiatives while helping define and improve engineering best practices.\n\nEnhance Reliability and Observability: Support monitoring and observability capabilities that improve visibility into pipeline performance, reliability, and operational outcomes.\n\nLeverage Modern Engineering Tools: Utilizeautomation and AI-assisted development tools, including GitHub Copilot and related technologies, to improve productivity and code quality.\n\nPartner Across Functions: Collaborate with architecture, governance, security, and platform engineering teams to deliver secure, scalable, reusable data products and services.\n\nCommunicate Technical Expertise: Present technical topics to engineering audiences and help grow data engineering capabilities across the organization.\n\nEnsure Compliance and Security: Perform all responsibilities in accordance withBECU Competencies, compliance, regulatory, and Information Protection requirements.\n\nWHAT YOU'LL GAIN:\nThe opportunity to influence the design and evolution of modern cloud-based data platforms at enterprise scale.\n\nExposure to cutting-edge technologies across cloud, data engineering, automation, governance, and AI-enabled solutions.\n\nOpportunities to mentor and develop other engineers while contributing to a culture of technical excellence and continuous improvement\n\nCollaboration with cross-functional teams to deliver secure, scalable, and reusable data products that drive meaningful business outcomes\n\nThe chance to build solutions that support analytics, operational decision-making, and future AI-driven capabilities.\n\nQUALIFICATIONS:\nMinimum Qualifications:\nBachelor’s degree in computer science or related discipline, or equivalent work experience.\n\nMinimum 5 years of functional experience in data engineering.\n\nMinimum 4 years of experience in coding languages like Python, Scala, Java, SQL.\n\nDemonstrated experience using cloud technologies (platforms like Azure, AWS, GCP).\n\nDemonstrated experience using Modern data platforms(Azure Synapse, Azure Databricks, Redshift, Big Query, Snowflake).\n\nDemonstrated 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.\n\nDemonstrated experience using SQL, data modeling, data warehousing, data analysis including designing, buildingand supporting enterprise scale operational data stores (ODS), data warehousesand data lake/ Lakehouse solutions.\n\nExperience using Continuous Integration and Continuous Delivery systems and tools such as Azure DevOps and GitHub.\n\nExperience using Git, performing code reviews, pull requests, and following branching standards such as Git Flow or Trunk-Based Development.\n\nDesired Qualifications:\nKnowledge of financial services industry concepts, regulations, and data domains, including banking, lending, deposits, payments, and risk management\n\nExperience building AI-ready data products and supporting AI agent architectures.\n\nExperience withusing GitHub Copilot or AI-assisted Azure OpenAI, Azure AI Search, Copilot Studio, AI Foundry, MCP integrations, or related AI technologies.\n\nPreviousexperience in master data (MDM), metadata, data quality, data lineage, data catalogingand data governance tools (Alation, Erwin, Collibra, Azure Purview, Infosphere, Informatica MDM.\n\nExperience in Test Driven Development concepts, methods, and tools. Demonstrated experience in unit testing, integration testingor performance/load testing required.\n\nProven 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).\n\nProven ability to stay current with emerging technologies and new applications of existing data technologies, through work or continuing industry or education involvement.\n\nProven experience leading and collaborating within team, including business unit teams, to deliver solutions through all aspects of the SDLC.\n\nExperience presenting in front of technically adept audiences.\n\nJOIN THE JOURNEY:\nReadyto make an impact?Joina team where your data engineering expertisecan help drive cloud modernization, strengthen data governance, and enable the next generation of analytics and AI-powered solutions. You'llhave the opportunity to solve complex challenges, influence technical direction, mentor fellow engineers, and contribute to innovative data capabilities that create meaningful business value.\nBring your passion for scalable data architecture, modern cloud technologies, and continuous improvement, and help shape the future of enterprise data engineering at BECU.\n#BECU #YourGrowth #BECUJourney\nEEO Statement:\nBECU is an equal opportunity employer. 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