Data Jobs in Spokane Valley, WA

1 job found

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1mo ago

Sr. Data Engineer

Gesa Credit Union Spokane Valley, WA

Spokane Valley, WA

1mo ago Closed

$97k - $196k/yr Full time Senior Analytics Azure Data Factory

This position is no longer accepting applications (closed Jul 22, 2026).

Job Description

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.

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