Staff Data Engineer (Seattle/Provo Hybrid)

Location: Provo, Utah; hybrid work associated with Seattle/Provo

Salary: $110,000–$170,000 per year, plus competitive benefits and a discretionary bonus or commission tied to results.

Company

Experience measurement, data analytics, and insights provider helping organizations improve customer and employee experiences through technology, data, and expertise.

What you will do

• Design, build, and optimize enterprise-scale data pipelines and workflows across Azure and Databricks.
• Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, Spark, Data Lake, and SQL Database integrations.
• Optimize data structures and queries for performance, reliability, and cost efficiency.
• Drive data quality, metadata management, validation, governance, security, compliance, and privacy initiatives.
• Define data models with analytics, data science, business, and data consumer teams, and publish curated datasets to Power BI.
• Support CI/CD for data workflows, document engineering practices, mentor junior engineers, and contribute to data architecture improvements.

Requirements

• 7+ years of data engineering experience, including significant hands-on work with cloud-based Azure data platforms.
• 5+ years of experience with Azure, Databricks, Apache Spark, and Delta Lake.
• 10+ years of SQL experience and 5+ years of Python experience; familiarity with Scala is beneficial.
• Experience building real-time data pipelines and streaming frameworks.
• Strong knowledge of data modeling, data governance, metadata management, Git, CI/CD, and modern DevOps practices.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field, plus the ability to lead projects and mentor engineers.

Nice to have

• Master’s degree in Computer Science, Engineering, or a related field.
• Experience integrating machine learning into data engineering pipelines.
• Familiarity with Scala and Power BI.

Culture & Benefits

• Collaborative environment focused on client partnership, ownership, continuous learning, innovation, and teamwork.
• Competitive benefits package.
• Discretionary bonus or commission tied to achieved results.
• Reasonable accommodations are available during the hiring process for qualified individuals with disabilities or disabled veterans.