Sr. Data Engineer

About Gesa

Gesa Credit Union believes in the power of its people. Comprised of individuals from various backgrounds, their unique experiences are their greatest asset. However, it's their collective effort, driven by compassion and commitment, that propels them forward. They aim to serve their communities effectively and drive value through effective data stewardship.

Role Summary

The Senior Data Engineer supports the enterprise data infrastructure and systems necessary for data storage, processing, and analysis. The role involves assisting the data warehouse vendor in establishing new data sources, providing support for maintenance and troubleshooting, and integrating smaller or supplemental data sources into the Azure-based data warehouse and Databricks analytics platform. The Sr. Data Engineer also collaborates with business leaders to define and advance the vision for managing data as a strategic business asset, aligning data management practices with organizational goals.

What You Will Be Doing

• Represent the Data Intelligence department in projects and committees as assigned
• Lead the design, development, and optimization of data pipelines for extracting, transforming, and loading data from diverse sources into the third-party data warehouse on Azure
• Collaborate with data analysts, BI analysts, data quality and data stewards, and IT professionals to develop and maintain scalable data models and analytical solutions
• Integrate data from databases, APIs, and external systems, ensuring consistency, integrity, and quality throughout the process
• Implement and monitor data governance frameworks, including data validation, cleansing, aggregation, and enrichment techniques
• Establish and enforce data quality checks, validations, and compliance with policies and procedures
• Optimize data processing workflows for performance, scalability, and efficiency; resolve bottlenecks and enhance query performance
• Design, develop, and maintain scalable data engineering solutions using Databricks, including Spark-based transformations, notebooks, and jobs
• Implement medallion-style data architectures (Bronze, Silver, Gold) to support governed and analytics-ready datasets
• Enable and optimize data pipelines to support AI, machine learning, and advanced analytics use cases, fostering innovation across the organization
• Identify opportunities to leverage emerging technologies and innovative data engineering approaches for enhanced business insights and improved decision-making
• Support the ongoing strategic planning and monitoring process for data intelligence and data governance
• Education and training stakeholders on data warehouse solutions, data governance, and best practices
• Maintain expert-level knowledge of core operating systems, data warehouse platforms, and data intelligence tools

About You

• Advanced knowledge of Databricks for data engineering workloads, including Apache Spark, job orchestration, and best practices such as layered data architectures, incremental processing, and optimization techniques
• Comfortable utilizing modern cloud-based data integration tools within Azure (e.g., Azure Data Factory, Databricks, Synapse Analytics)
• Proficiency with a range of programming and scripting languages commonly used in data engineering, including SQL, Python, Scala, Java, Bash or PowerShell, and R
• Advanced understanding of relational and NoSQL databases, data modeling, and data integration
• Strong analytical, problem-solving, and debugging skills
• Excellent business acumen and interpersonal skills
• Commitment to continual process improvement and adherence to data governance standards
• Demonstrated leadership capabilities, including coaching and mentoring team members to foster professional growth and promote a collaborative work environment

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field; Master’s degree preferred
• Minimum of six (6) years of experience in data engineering or data management disciplines required
• Experience designing and operating data pipelines using Databricks in a cloud-based analytics environment preferred
• Experience in financial institution environments preferred

Our Team Member Value Proposition

• Competitive Pay
• Medical, Dental, Vision, and Life Insurance
• 20 days/year of Paid Time Off – Plus 10 Paid Holidays!
• 401(k) Match
• Tuition Assistance and Student Loan Repayment
• Commuter Benefits
• Paid Time Off to Volunteer in the Community
• Product discounts
• Engaging Work Environment
• Rewards and Recognition Programs
• Full Salary Range: Richland, WA: $97,069.57-$161,782.61 Spokane WA: $97,069.57-$161,782.61 Renton, WA: $117,365.93-$195,609.89

Get Wise to What’s Possible with a Career at Gesa

We offer a competitive salary, comprehensive benefits, and a supportive work environment where you can make a difference. Join our team and be part of something bigger than yourself.