Sr Data Engineer

MAV KG LLCSalt Lake City, UT
$110,000 - $120,000Hybrid

About The Position

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.

Requirements

  • 7+ years experience working as a Data Engineer
  • Expert level in SQL (MS SLQL/TSQL, MySQL) and stored procedures
  • Ability to anticipate customer needs and gives high priority to customer satisfaction and customer service
  • Ability to adapt to changing circumstances, tasks, responsibilities and people to achieve optimum results
  • A record of looking beyond the obvious to identify the root cause and simplify complicated processes and find ways to improve work processes and select the best possible option

Nice To Haves

  • Bachelor’s degree in Computer Science, Information Systems, or related degree, preferred
  • Experience with Python
  • Experience with Java a plus
  • Experience working in a scrum environment a plus

Responsibilities

  • Develop and maintain efficient and 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 API processes to pull third-party data using Python
  • Assist with the optimization of the data warehouse environment to support efficient access and reporting on enterprise data
  • Proactively analyze and address query/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 properly met

Benefits

  • Full Health, Dental, and Vision Package with company contribution to cost
  • In-Store and Fuel Discounts
  • Retirement plan with company match (401K)
  • Eligible for the annual incentive bonus program
  • Profit Sharing
  • Comprehensive Paid Time-Off Policy, along with additional perks and benefits
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