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.

QUALIFICATIONS:

Minimum Qualifications:

• Bachelor’s degree in computer science or related discipline, or equivalent work experience.
• At least 7 years of experience in data engineering.
• Experience with CI/CD pipelines and DevOps practices, demonstrating proficiency with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Jenkins) and Infrastructure as code (IaC) tools like Terraform or Azure Resource Manager (ARM) templates.
• Minimum 5 years of experience with coding languages such as Python, Scala, Java, SQL, and Spark.
• Experience with cloud platforms like Azure, AWS, or Google Cloud.
• Knowledge of modern data platforms, distributed processing (e.g., Azure Synapse, Databricks, Snowflake).
• Expertise in ETL/ELT processes, SQL, data modeling, and data warehousing.
• Experience with cloud-based integration tools and security best practices for data handling.

Desired Qualifications:

• Advanced degree in a related field.
• Demonstrated experience in data governance, metadata management, and master data management using tools like Alation, Erwin, and Azure Purview.
• Strong presentation skills with experience addressing both technical and non-technical audiences.
• Expertise in version control (e.g., Git Flow, Trunk-Based Development) and performing code reviews.
• Deep understanding of Test-Driven Development, including unit, integration, and performance testing.
• Ability to design scalable data solutions throughout the data lifecycle, from ideation to implementation.
• Experience with AI/ML integration and data analytics.
• Proven leadership in mentoring and guiding junior team members.
• Availability to work full-time with additional hours as necessary, including on-call support.

• Drive Data Strategy and Governance: Lead data engineering teams to implement enterprise-wide data solutions, ensuring data integrity, governance, and metadata management are maintained.
• Implement Cloud and DevOps Solutions: Develop Infrastructure as Code (IaC) using tools such as Terraform and ARM/Bicep to provision and manage cloud resources. Additionally, support continuous integration and delivery processes, while incorporating log management and security and vulnerability scanning
• Optimize Data Pipelines: Design, build, and deploy highly available and scalable data pipelines using technologies like Databricks, Snowflake, and Synapse, ensuring compatibility with various databases.
• Collaborate Across Teams: Partner with cybersecurity and architecture teams to align data practices with security standards and evolving technologies.
• Mentor and Drive Initiatives: Guide and mentor data engineering teams in the design, development, and testing of complex data workflows, ensuring adherence to best practices.
• Present and Communicate Solutions: Present technical topics and data solutions to both technical and non-technical stakeholders, driving the adoption of innovative approaches.
• Prototype and Innovate: Design prototypes, proofs of concept, and solutions that leverage AI, ML, and advanced analytics to drive business value.
• Establish Data Standards: Create guidelines for data curation, master data management, and metadata integration into workflows, ensuring consistency and quality across the organization.
• Document and Standardize Processes: Develop comprehensive documentation for data workflows, infrastructure as code, and automated pipelines, ensuring transparency and knowledge sharing.
• Drive Continuous Improvement: Innovate and integrate new data technologies and methodologies to enhance data workflows, reducing friction and optimizing efficiency.
  This isn’t just about ticking off tasks on a list. It’s about making a significant, positive change in BECU’s journey, where your contributions are valued, and your growth is continually fostered.