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Maverik Inc. is seeking a Senior Data Engineer to shape how data moves, connects, and supports decisions across the organization. You will build and maintain data pipelines, integrations, and models while hands-on with SQL/T-SQL, data warehousing, and enterprise data.
This role offers ownership of meaningful data engineering work and collaboration with cross-functional teams. Based in Salt Lake City with a hybrid schedule (four days in office, one remote day per week), you’ll partner with
At Maverik, we don’t just offer jobs, we offer adventures. As a Senior Data Engineer, you’ll help shape how data moves, connects, and supports decisions across Maverik. You’ll build and maintain data pipelines, integrations, and data models while working hands-on with complex SQL/T-SQL, data warehousing, and enterprise data. This is an opportunity to take ownership of meaningful data engineering work, solve complex problems, and work independently across data models and architecture while partnering with teams throughout the business.
The work you do will help ensure teams across Maverik have reliable, accurate, and accessible data to support reporting and business decisions. Your work behind the scenes helps create scalable, dependable data solutions that can continue supporting Maverik as our technology and business needs evolve.
This role is based at our Salt Lake City Headquarters and follows a hybrid schedule with four days in-office and one remote day each week.
Duties and responsibilities, as required by business necessity may be added, deleted, or changed at any time at the discretion of management, formally or informally, either verbally or in writing. Scheduling and shift assignments and work location may be changed at any time, as required by business necessity.
Pay Range: $110,000-$120,000/year + DOE and Bonus Opportunities
The above salary range represents a general guideline; however, Maverik considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidates experience, education, skills, and current market conditions.