Sr Data Engineer

BECU; Washington; Hybrid; USD 110,000 - 205,000; Full time

Benefits offered by this job

401(k) Match

Company 401(k) contribution

Medical, Dental and Vision

PTO & Exchange

Tuition Reimbursement

Volunteer time off

Job summary

BECU is seeking an experienced Data Engineer to build and maintain enterprise-grade data pipelines and cloud data solutions in a hybrid role based in Washington state. You will design multi-tier systems, support data workflows ranging from batch to API-based integrations, and collaborate with architects and product teams on roadmaps and modernization efforts.

The role requires hands-on coding in Python/Scala/Java/SQL, strong cloud platform experience (Azure/AWS/GCP), and familiarity with modern

Qualifications

• Bachelor's degree in CS or related discipline, or equivalent work experience.
• Minimum 5 years of functional experience in data engineering.
• Minimum 4 years coding experience with Python, Scala, Java, and SQL.
• Cloud technologies including Azure, AWS, and GCP.
• Modern data platforms: Azure Synapse, Azure Databricks, Redshift, BigQuery, Snowflake.
• ETL/ELT and cloud data integration tools (Azure Data Factory, Azure SQL, Cosmos DB, Event Hubs, Azure Storage, Azure Functions, Container Apps, API Management).
• Experience with data modeling, data warehousing, data lakes/lakehouses; enterprise data stores.

Responsibilities

• Design and develop complex multi-tier systems for cloud-native data solutions and integration services.
• Coordinate design and development of data workflows (batch, near real-time, API-based).
• Develop prototypes and scalable data solutions aligned with business needs.
• Support metadata management, data governance, quality, lineage across pipelines.
• Guide data curation policies across platforms and workflows.
• Mentor teams through design/code reviews, testing, and development activities.
• Document roadmaps with architects and leadership; support cloud modernization.
• Contribute to CI/CD, testing, and code quality initiatives; promote best practices.
• Support monitoring/observability to improve pipeline performance and reliability.
• Collaborate with architecture governance/security/platform teams to deliver secure reusable data products.
• Present technical topics to engineering audiences and grow data engineering capabilities.

Skills

5+ years data engineering

Python/Scala/Java/SQL

Cloud platforms

Azure Synapse/Azure Databricks/Redshif

ETL/ELT & cloud data integration

SQL/data modeling/data warehousing

CI/CD (Azure DevOps, GitHub)

Git & code reviews (Git Flow)

Financial services domain knowledge

AI-ready data products & AI tools

MDM/metadata/data governance tools

Test Driven Development

SDLC leadership & collaboration

Technical presentation to engineers

Education

Bachelor's degree in CS or related

Tools

Azure DevOps

GitHub

Git

Azure Data Factory

Azure SQL

Cosmos DB

Event Hubs

Azure Functions

Container Apps

API Management

Azure Purview

Alation/Erwin/Collibra

Informatica MDM

Job description

Build and support enterprise-class data pipelines and scalable cloud data solutions in a hybrid role in Washington state.

Responsibilities

• Design and develop complex multi-tier systems covering analysis, coding, testing, debugging, and documentation for cloud-native data solutions and integration services
• Coordinate, support, and execute design and development of complex data workflows, including batch, near real-time, and API-based integrations
• Design and support prototypes, proofs of concept, and scalable data solutions that align technical delivery with business needs
• Support metadata management, master data policies, data quality standards, lineage, and governance practices within data workflows and pipelines
• Organize and guide data curation policies across data platforms and workflows based on technical requirements
• Support, mentor, and coordinate small to medium-sized teams through design reviews, code reviews, testing, and development activities
• Partner with Architects, Product Owners, and leadership teams to document technology roadmaps, cloud modernization initiatives, and future-state data platform strategies
• Contribute to coding standards, CI/CD practices, automated testing, and code quality initiatives while shaping and improving engineering best practices
• Support monitoring and observability capabilities to improve pipeline performance, reliability, and operational outcomes
• Use automation and AI-assisted development tools, including GitHub Copilot and related technologies, to improve productivity and code quality
• Collaborate with architecture, governance, security, and platform engineering teams to deliver secure, scalable, reusable data products and services
• Present technical topics to engineering audiences and contribute to growing data engineering capabilities across the organization
• Perform responsibilities in line with BECU Competencies, compliance, regulatory, and Information Protection requirements

Requirements

• 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 coding experience with Python, Scala, Java, and SQL
• Demonstrated experience with cloud technologies including Azure, AWS, and GCP
• Demonstrated experience with modern data platforms including Azure Synapse, Azure Databricks, Redshift, Big Query, and Snowflake
• Demonstrated experience with ETL/ELT, SQL, and cloud data integration tools, including Azure Data Factory, Azure SQL, Cosmos DB, Event Hubs, Azure Storage, Azure functions, Container apps, and API Management
• Demonstrated experience with SQL, data modeling, data warehousing, data analysis, and supporting enterprise-scale operational data stores (ODS), data warehouses, and data lake or Lakehouse solutions
• Experience with CI/CD systems and tools such as Azure DevOps and GitHub
• Experience with Git, including code reviews, pull requests, and branching standards such as Git Flow or Trunk-Based Development
• Knowledge of financial services 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 GitHub Copilot or AI-assisted Azure OpenAI, Azure AI Search, Copilot Studio, AI Foundry, MCP integrations, or related AI technologies
• Previous experience with master data (MDM), metadata, data quality, data lineage, data cataloging, and data governance tools including Alation, Erwin, Collibra, Azure Purview, Infosphere, and Informatica MDM
• Experience with Test Driven Development concepts, methods, and tools, including unit testing, integration testing, or performance/load testing
• Proven ability to deliver highly scalable data solutions across the data lifecycle from ideation to retirement
• Proven ability to stay current on emerging technologies and new applications of existing data technologies through work or continuing industry or education involvement
• Proven experience leading and collaborating across teams and business units to deliver solutions through the SDLC
• Experience presenting to technically adept audiences

Technologies

• Python, Scala, Java, SQL
• Azure, AWS, GCP
• Azure Synapse, Azure Databricks, Redshift, Big Query, Snowflake
• Azure Data Factory, Azure SQL, Cosmos DB, Event Hubs, Azure Storage, Azure functions, Container apps, API Management
• Azure DevOps, GitHub, Git
• Git Flow, Trunk-Based Development
• GitHub Copilot, Azure OpenAI, Azure AI Search, Copilot Studio, AI Foundry, MCP
• Alation, Erwin, Collibra, Azure Purview, Infosphere, Informatica MDM
• ETL, ELT, CI/CD

Benefits

• 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

Pay Range

• Target Pay Range: $141,800.00 - $173,300.00 annually
• Full Pay Range: $110,100.00 - $204,900.00 annually
• Additional compensation incentives may be available for the hired applicant
• Incentives are performance based and targets vary by role

Residency / Location Requirements

• Candidates must be residents of WA, OR, ID, AZ, TX, GA, SC, NC, CA, or VA
• If located in Washington state and within a reasonable driving distance from Tukwila, come into HQ on Tuesdays & Wednesdays
• For candidates outside the commute distance of TFC in approved remote work locations, this role is remote
• Remote or onsite, engagement and inclusion in a collaborative environment are emphasized

What You'll Gain

• Influence the design and evolution of modern cloud-based data platforms at enterprise scale
• Exposure to cutting-edge technologies across cloud, data engineering, automation, governance, and AI-enabled solutions
• Opportunities to mentor and develop other engineers while contributing to technical excellence and continuous improvement
• Collaboration with cross-functional teams to deliver secure, scalable, reusable data products that support business outcomes
• Build solutions that support analytics, operational decision-making, and future AI-driven capabilities