Sr Data Engineer
About The Position
At Maverik, the Senior Data Engineer helps shape how data moves, connects, and supports decisions across the company. This role builds and maintains data pipelines, integrations, and data models, working hands-on with complex SQL/T-SQL, data warehousing, and enterprise data. The position involves owning meaningful data engineering work, solving complex problems, working independently across data models and architecture, and partnering with teams throughout the business. The work supports reliable, accurate, and accessible data for reporting and business decisions. The role develops scalable, dependable data solutions that can support Maverik as its technology and business needs evolve. The position is based at Maverik’s Salt Lake City Headquarters and follows a hybrid schedule: four days in the office and one remote day each week. Troubleshooting production issues during and after business hours is part of the role to help meet SLAs.
Requirements
- At least 7 years of experience working as a Data Engineer.
- Expert-level SQL skills, including MS SQL/T-SQL, MySQL, and stored procedures.
- Ability to anticipate customer needs and prioritize customer satisfaction and service.
- Ability to adapt to changing circumstances, tasks, responsibilities, and people to achieve optimum results.
- Ability to identify root causes, simplify complicated processes, improve work processes, and select the best possible option.
Nice To Haves
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- Experience with Python.
- Experience with Java.
- Experience working in a Scrum environment.
Responsibilities
- Develop and maintain efficient, scalable data infrastructures that can integrate new technologies.
- Collaborate with data analysts, BI analysts, application developers, PMO, and business users to develop and implement complex data integration requirements.
- Perform complex database programming by writing SQL stored procedures on large-scale databases.
- Develop Python API processes to retrieve third-party data.
- Help optimize the data warehouse environment to support efficient access to and reporting on enterprise data.
- Proactively analyze and address query and job performance bottlenecks.
- Implement security measures to protect sensitive data and ensure compliance with data privacy regulations.
- Troubleshoot production issues during and after business hours to ensure SLAs are met.
Benefits
- Full health, dental, and vision package with company contribution to the cost.
- In-store and fuel discounts.
- Retirement plan with company match (401(k)).
- Eligibility for the annual incentive bonus program.
- Annual profit sharing for eligible team members.
- Comprehensive paid time-off policy, along with additional perks and benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
