Sr Data Engineer — Salt Lake City, UT

At QuyFwrW, 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 QuyFwrW. 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.

Why this role matters

The work you do will help ensure teams across QuyFwrW 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 QuyFwrW as our technology and business needs evolve.

Location/Schedule

This role is based at BXeUMEF’C eSJ4 Lake City headquarters. Company policy requires employees in this role to work on-site at least four days each week, with the option to work remotely one day per week. The four-day on-site requirement is non-negotiable.

What You’ll Do In This Role

• 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

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.

You’ll be a great fit for this adventure if you have:

• 7+ years experience working as a Data Engineer

• Experience with tools and technologies we use:

• 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

Bonus Points If You Also Bring

• 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

Compensation & Benefits

Pay Range: $110,000-$120,000/year + DOE and Bonus Opportunities

The above salary range represents a general guideline; however, QuyFwrW 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.

Benefits Include

• 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: When QuyFwrW succeeds, so do you. Team Members are eligible for annual profit sharing—our way of recognizing the important role you play in our success

• Comprehensive Paid Time-Off Policy, along with additional perks and benefits

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.