IMPACT YOU’LL MAKE:

As a Staff Data Engineer at BECU, you’ll lead the charge in implementing our enterprise data strategy, utilizing your deep expertise in data management to create scalable, secure, and efficient data solutions. You’ll optimize data quality, govern data standards, and design robust data pipelines that empower data analysts and data scientists alike. By collaborating with cybersecurity and architecture teams, you’ll ensure best practices are implemented to stay ahead of evolving technological innovations. Your role will be crucial in advancing our AI and ML capabilities while mentoring and guiding data engineering teams to push the boundaries of what’s possible.

To join our dynamic team, we require candidates to be residents of WA, OR, ID, AZ, TX, GA, or SC. If you call any of these states home, you’re in luck! We offer the flexibility of remote work for residents in these locations, allowing you to contribute from the comfort of your own home.

WHAT YOU’LL DO:

• Drive Data Strategy and Governance: Lead data engineering teams to implement enterprise-wide data solutions, ensuring data integrity, governance, and metadata management are maintained.
• 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 Lead Teams: 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.
• Implement Cloud and DevOps Solutions: Write Infrastructure as Code (IaC) using tools like Python, Jenkins, and Terraform to automate cloud-native services, supporting continuous integration and delivery.
• 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.

WHAT YOU’LL GAIN:

• Leadership and Influence: The opportunity to lead data initiatives and mentor teams, directly impacting BECU’s data strategy.
• Cutting-Edge Innovation: Engage with emerging technologies like AI, ML, and cloud services, driving innovation in data management and analytics.
• Cross-Functional Collaboration: Collaborate with diverse teams to design solutions that optimize data usage and security.
• Professional Growth: Opportunities for continuous learning and professional development in data engineering, DevOps, and cloud technologies.
• Visibility and Impact: Contribute to high-impact projects, showcasing your technical expertise and leadership in data strategy.

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.
• 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.
• Demonstrated experience in data governance, metadata management, and master data management using tools like Alation, Erwin, and Azure Purview.
• Proficiency with CI/CD tools (e.g., Azure DevOps, GitHub Actions, Jenkins) and YAML pipeline creation.

Desired Qualifications:

• Advanced degree in a related field.
• Experience with AI/ML integration and data analytics.
• 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.
• Proven leadership in mentoring and guiding junior team members.
• Availability to work full-time with additional hours as necessary, including on-call support.

JOIN THE JOURNEY:

Ready to make an indelible impact? Eager to be part of a collaborative and innovative team where your ideas and contributions don’t just fill a role, but fuel the growth and success of BECU? This is more than a job – it’s a chance to elevate your career, skills, and future, all while contributing to the robust technological landscape of BECU.

Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let’s achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now. #BECU #YourGrowth #BECUJourney