1

Junior Data Conversion Developer Jobs (NOW HIRING)

The Data Conversion Specialist is responsible for performing essential project-related activities ... Works closely with Data Automation Developers and ETL Business Analysts to develop, train, maintain ...

The Manager, Data Conversion leads a team of Data Conversion Specialists and Conversion Consultants ... Ability to work cross functionally with product, engineering and implementation teams. Inclusion ...

The Manager, Data Conversion leads a team of Data Conversion Specialists and Conversion Consultants ... Ability to work cross functionally with product, engineering and implementation teams. Inclusion ...

As a Data Conversion Software Engineer , you'll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs ...

Junior Data Engineer AMAT Atlanta, Georgia, United States Job ID: 526313 CRH's Americas Materials division is the leading integrated supplier of aggregates, asphalt, ready mixed concrete and paving ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal ...

Showing results 21-40

Junior Data Conversion Developer information

See salary details

$24K

$89K

$137.5K

How much do junior data conversion developer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior data conversion developer in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a junior data conversion developer?

Junior Data Conversion Developers are entry-level professionals who assist in transforming data from one format to another, often as part of system migrations, software upgrades, or data integration projects. They work under the guidance of senior developers and typically use programming languages, scripts, or specialized tools to extract, transform, and load (ETL) data. Their responsibilities often include analyzing source and target data structures, writing conversion routines, testing data integrity, and troubleshooting issues. This role is crucial for organizations that need to move or consolidate data while ensuring accuracy and minimal disruption.

What are the key skills and qualifications needed to thrive as a junior data conversion developer, and why are they important?

To thrive as a Junior Data Conversion Developer, you need a solid understanding of database concepts, data mapping, and proficiency in programming languages like SQL or Python, often supported by a relevant degree or technical certification. Familiarity with ETL tools (such as Informatica or Talend), data migration frameworks, and source/target system architectures is typically required. Strong problem-solving skills, attention to detail, and effective communication help in identifying data issues and collaborating with cross-functional teams. These skills ensure accurate, efficient data transformation and integration, which are critical for project success and data integrity.

What are some common challenges faced by junior data conversion developers during migration projects?

Junior Data Conversion Developers often encounter challenges such as handling inconsistent or incomplete legacy data, adapting to different data formats, and ensuring data integrity throughout the migration process. Collaborating closely with senior developers and business analysts is crucial to accurately interpret client requirements and resolve data discrepancies. Additionally, managing time effectively to meet project deadlines while learning new tools and technologies can be demanding, but it also provides significant opportunities for skill development and growth within the field.

What is the difference between Junior Data Conversion Developer vs Data Migration Specialist?

AspectJunior Data Conversion DeveloperData Migration Specialist
CredentialsBasic programming, database knowledge, entry-level certificationsSimilar technical skills, often with additional project management certifications
Work EnvironmentDevelopment teams, data processing projects, entry-level rolesData management projects, enterprise environments, often more client-facing
Industry UsageIT, software, data servicesIT, consulting, enterprise data management
Search & ComparisonOften compared for entry-level roles in data conversionMore advanced, but related, roles in data migration

The Junior Data Conversion Developer primarily focuses on converting data formats and ensuring data integrity during development. In contrast, a Data Migration Specialist handles larger-scale data transfer projects across systems, often involving planning and execution. While both roles require similar technical skills, the Junior Data Conversion Developer is more entry-level and development-focused, whereas the Data Migration Specialist involves broader project management and enterprise-level tasks.

What cities are hiring for Junior Data Conversion Developer jobs?

Cities with the most Junior Data Conversion Developer job openings:

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

The most popular types of Data Conversion Developer jobs are:

What states have the most Junior Data Conversion Developer jobs?

States with the most job openings for Junior Data Conversion Developer jobs include:

Manager, Data Conversion

Lightspeed DMS

South Jordan, UT

Full-time

Posted 15 days ago


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.Â