1

Data Conversion Jobs in Utah (NOW HIRING)

About the Team A Sr. Technical Data Conversion Consultant is a member of Workday's Global Technical Services organization dedicated to the implementation of our cloud-based software within the Health ...

Support CAD-to-GIS data conversion workflows in partnership with the CAD Manager, ensuring geometric and attribute accuracy upon ingestion. Data Governance & Quality Control * Establish and enforce ...

Owner Conversion Specialist Department: NAS Wage: $19.40 + Performance based increases Location ... Notices when something doesn't add up and digs into it, rather than pushing bad data forward.

next page

Showing results 1-20

Data Conversion information

See Utah salary details

$10K

$100.1K

$127K

How much do data conversion jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data conversion in Utah is $100,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $122,900.00 per year, depending on experience, location, and employer.

What is a data conversion?

A Data Conversion job involves transforming data from one format, structure, or system to another while ensuring accuracy and consistency. This process is common when migrating data between software systems, upgrading databases, or integrating new technologies. Professionals in this role use specialized tools and scripts to clean, map, and validate data. Their goal is to prevent data loss, maintain data integrity, and ensure seamless usability in the new system.

What are the key skills and qualifications needed to thrive in data conversion, and why are they important?

To thrive in a Data Conversion role, you need strong attention to detail, data analysis skills, and experience with database management or programming, often supported by a relevant degree or certifications in IT or computer science. Familiarity with data manipulation tools such as SQL, ETL software, and various file formats is typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this position. These skills help ensure accurate and efficient transformation of data between systems, which is critical for smooth business operations and data integrity.

What are some common challenges faced in a data conversion role, and how are they typically addressed?

One of the most common challenges in Data Conversion is managing data inconsistencies and ensuring data quality during large-scale migrations or system upgrades. Professionals in this field often work closely with IT teams, business analysts, and end-users to identify and resolve data discrepancies or mapping issues. Effective troubleshooting, thorough testing, and clear documentation are standard practices to address these challenges. Communication skills and a proactive approach greatly help in anticipating issues and minimizing downtime during critical data transitions.

What are the most commonly searched types of Data Conversion jobs in Utah?

The most popular types of Data Conversion jobs in Utah are:

What are popular job titles related to Data Conversion jobs in Utah?

For Data Conversion jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Data Conversion jobs?

Cities in Utah with the most Data Conversion job openings:

Infographic showing various Data Conversion job openings in Utah as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% In-person job distribution, with an average salary of $100,140 per year, or $48.1 per hour.

Manager, Data Conversion

Lightspeed DMS

South Jordan, UT • On-site

Full-time

Re-posted yesterday


Job description

The Manager, Data Conversion leads a team of Data Conversion Specialists and Conversion Consultants, owning the full lifecycle of dealership data conversion within a SaaS environment. This includes requirements gathering, solution design, client acceptance, timeline creation, implementation, unit testing, tool validation, and template maintenance. This role is critical in transforming large volumes of complex data into our flagship SaaS product, ensuring accuracy, efficiency and scalability.   

The Manager also partners closely with Research & Development to prioritize tool enhancements that improve conversion speed, contributing directly to customer satisfaction and product excellence.  

 What you'll do: 
  • Lead the development and execution of data extraction transformation, and load (ETL) programs within a SaaS framework. 
  • Implement quality assurance processes to ensure data conversions meet customer requirements  and reduce rework. 
  • Drive improvements in customer experience by minimizing manual data entry during final cutover periods 
  • Analyze and document competitive DMS systems to accelerate conversion capabilities and reduce turnaround time.  
  • Prioritize and maintain reusable conversion templates to support scalability. 
  • Collaborate with team members to develop C# scripts for data mapping and conversion optimization. 
  • Participate in agile sprint planning with Research & Development to automate and improve conversion tools 
  • Perform data validation and corrections by identifying errors and applying structured remediation. 
  • Proactively identify and resolve issues and risks, escalating them as needed 
  • Ensure high levels of client satisfaction through clear communication and responsive followup. 
  • Use strong leadership and negotiation skills to drive successful implementations across internal and external stakeholders.  
  • Collect and analyze process data, customer feedback and team input to identify continuous improvement opportunities.   
  • Support process improvement initiatives using established methodologies.   
  • Coach, mentor, and collaboratively build associate development plans and conduct ongoing feedback sessions to ensure progress  
 What you should have: 

Qualifications:

  • 2-5 years of relevant experience in data conversion or ETL processes, preferably in a SaaS or cloud-based environment.   
  • 2-3 years of experience coding  in C# or similar scripting languages  
  • 1+ years experience using MS Visual Studio Code or MS Visual Studio 
  • 1-3 years of experience managing or mentoring a technical team  
  • Strong SQL and Excel skills for data manipulation and analysis 
  • Proven experience with data extraction and transformation in SaaS platforms 
  •  Excellent communication skills with internal and external partners (vendors, customers, executives, etc.) 
  • Ability to work cross functionally with product, engineering and implementation teams.