Sr. Data Engineer

Gesa Credit Union is seeking a Sr. Data Engineer to support the integration and maintenance of data sources within the Azure-based data warehouse and Databricks platform, onsite in Spokane Valley, WA, ensuring data quality, governance, and security while partnering with leadership to treat data as a strategic asset.

Responsibilities

• 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
• Apply Databricks best practices for cluster configuration, job orchestration, performance tuning, and cost-aware design
• 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
• Educate and train 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

Requirements

• 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

Technologies

• Azure
• Databricks
• Spark
• SQL
• Python
• Scala
• Java
• Bash
• PowerShell
• R
• Azure Data Factory
• Synapse Analytics

Benefits

• Competitive Pay
• Medical, Dental, Vision, and Life Insurance
• 20 days/year of Paid Time Off – Plus 10 Paid Holidays
• 401(k) Match
• Incentive Program
• 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

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
• Ability to comfortably utilize 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
• Ability to collaborate across teams and communicate technical concepts to diverse stakeholders
• 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

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
• Incentive Program
• 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

While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. This approach gives room to grow within the role as your career progresses with us.