Sr. Data Engineer

The Sr. Data Engineer at Gesa Credit Union builds and maintains data pipelines within an Azure-based data warehouse and the Databricks platform, safeguarding data quality, governance, and security while partnering with leadership to treat data as a strategic asset. This onsite role is based in Spokane Valley, WA and requires a strong foundation in data engineering within financial services environments.

Responsibilities

• Represent the Data Intelligence team in projects and committees as assigned.
• Lead the design, development, and optimization of data pipelines to extract, transform, and load data from diverse sources into the Azure based third‑party data warehouse.
• Collaborate with data analysts, BI analysts, data quality specialists, data stewards, and IT professionals to create and maintain scalable data models and analytical solutions.
• Integrate data from databases, APIs, and external systems, ensuring consistency, integrity, and quality throughout the workflow.
• Implement and monitor data governance frameworks, including validation, cleansing, aggregation, and enrichment techniques.
• Establish and enforce data quality checks and ensure compliance with policies and procedures.
• Optimize data processing workflows for performance, scalability, and efficiency; identify and resolve bottlenecks to improve 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 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, promoting innovation across the organization.
• Identify opportunities to leverage emerging technologies and innovative data engineering approaches for enhanced insights and decision making.
• Support ongoing strategic planning and monitoring for data intelligence and data governance initiatives.
• Educate and train stakeholders on data warehouse solutions, governance, and best practices.
• Maintain expert-level knowledge of core operating systems, data warehouse platforms, and data intelligence tools.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related quantitative field; a Master's degree is preferred.
• Minimum of six years of experience in data engineering or data management.
• Experience designing and operating Databricks based pipelines in a cloud analytics environment is preferred.
• Experience in financial institution environments is preferred.

Technologies

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

Compensation and Location

Location: Spokane Valley, WA (onsite)

Salary: USD 97,069 - 195,609 per year

Education requirement: Bachelor's degree; Experience: minimum six years

Full salary range by location: Spokane WA and Richland WA offer $97,069.57 to $161,782.61; Renton WA offers $117,365.93 to $195,609.89. While the full pay range is listed, most new team members typically start between the minimum and midpoint based on experience and qualifications.

Benefits

• Competitive compensation package
• Medical, dental, vision, and life insurance
• 20 days of paid time off per year plus 10 paid holidays
• 401(k) retirement plan with company match
• Incentive programs
• Tuition assistance and student loan repayment
• Commuter benefits
• Paid time off to volunteer in the community
• Employee product discounts
• Engaging work environment
• Rewards and recognition programs

About You

• Advanced proficiency with Databricks for data engineering workloads, including Spark, job orchestration, layered architectures, incremental processing, and optimization techniques.
• Ability to utilize modern cloud-based data integration tools in Azure, such as Azure Data Factory, Databricks, and Synapse Analytics.
• Strong programming and scripting skills across SQL, Python, Scala, Java, Bash or PowerShell, and R.
• Deep understanding of relational and NoSQL databases, data modeling, and data integration.
• Effective collaboration across teams and ability to convey technical concepts to diverse stakeholders.
• Excellent analytical, problem-solving, and debugging capabilities.
• Strong business acumen and interpersonal skills.
• Commitment to continuous process improvement and adherence to data governance standards.
• Proven leadership with experience coaching and mentoring teammates to foster growth and collaboration.

Our Team Member Value Proposition

• Competitive compensation package
• Comprehensive medical, dental, vision, and life insurance
• 20 days of paid time off per year plus 10 paid holidays
• 401(k) with employer match
• Incentive programs
• Tuition assistance and student loan repayment
• Commuter benefits
• Paid volunteer time off
• Employee discounts on products
• Engaging and collaborative work environment
• Rewards and recognition programs