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Data Conversion Developer Jobs (NOW HIRING)

Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming. * Verify conversion output against client source data, documented ...

Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming. * Verify conversion output against client source data, documented ...

Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming. * Verify conversion output against client source data, documented ...

This fully remote role involves overseeing data conversion processes, providing expert guidance, and ensuring the successful implementation and optimization of Oracle Cloud conversion solutions. This ...

Experience in a Data Conversion work stream on a software implementation * Preferable - Experience ... Experience with AI products, prompt engineering and agent development Posting End Date: 09/28/2026 ...

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DATA Conversion Developer information

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$11K

$110K

$139.5K

How much do data conversion developer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data conversion developer in the United States is $110,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a data conversion developer?

Data Conversion Developers are IT professionals who specialize in transferring, transforming, and integrating data between different systems or formats. They write scripts and use specialized tools to extract data from legacy systems, clean and reformat it, and load it into new platforms. Their work ensures that data remains accurate, secure, and usable throughout the migration process. Data Conversion Developers often collaborate with business analysts, database administrators, and project managers to ensure successful data transitions during system upgrades or replacements.

What are the key skills and qualifications needed to thrive as a data conversion developer?

To thrive as a Data Conversion Developer, you need strong programming skills (such as SQL, Python, or ETL tools), data analysis abilities, and experience with database management, often supported by a degree in computer science or information systems. Familiarity with data migration tools, scripting languages, and systems like Oracle, SAP, or Informatica is typically required. Attention to detail, problem-solving, and effective communication are valuable soft skills for collaborating with teams and clients. These competencies are crucial to ensure accurate data transformation, minimize system downtime, and achieve seamless integration during migration projects.

What are some common challenges faced by data conversion developers during large-scale system migrations?

Data Conversion Developers often encounter challenges such as handling data inconsistencies, mapping legacy data structures to new systems, and ensuring minimal data loss or corruption during migration. They must collaborate closely with business analysts and database administrators to clarify requirements and validate data accuracy. Additionally, managing tight project timelines while performing thorough testing and validation can be demanding, but these tasks are critical to a successful migration.

What is the difference between Data Conversion Developer vs Data Integration Specialist?

AspectData Conversion DeveloperData Integration Specialist
CredentialsTypically requires programming skills, database knowledge, and certifications like Microsoft Certified Data AnalystRequires similar skills, often with certifications in data management or ETL tools
Work EnvironmentWorks mainly in software development, focusing on converting data formats and structuresWorks in data pipelines, integrating data from multiple sources into systems
Industry UsageCommon in software development, data migration projects, and database managementUsed in business intelligence, data warehousing, and enterprise data management

While both roles involve working with data, Data Conversion Developers focus on transforming data formats and structures, whereas Data Integration Specialists concentrate on combining data from various sources into unified systems. Both roles require technical skills and are vital in data management projects, but their primary focus areas differ.

More about DATA Conversion Developer jobs

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

The most popular types of Data Conversion Developer jobs are:

What are popular job titles related to Data Conversion Developer jobs?

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

Infographic showing various Data Conversion Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,000 per year, or $52.9 per hour.

Delivery Manager, Data Engineering and Conversion Solutions

Deloitte

Mechanicsburg, PA • On-site

Full-time

Posted 2 days ago

New


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Deloitte is seeking a Delivery Manager, Data Engineering and Conversion Solutions to lead the delivery of data engineering, data conversion, and platform implementation work for Government & Public Services clients. This role will oversee delivery teams, manage execution across the project lifecycle, and drive quality, timeliness, and operational consistency for complex data-focused engagements. The ideal candidate brings experience leading large-scale data delivery efforts, managing cross-functional teams, and supporting client outcomes in a structured delivery model.

Work you'll do

As a Delivery Manager, Data Engineering and Conversion Solutions on the AI & Data team, you will be responsible for...

  • Leading end-to-end delivery of data engineering and data conversion workstreams across client engagements
  • Managing project plans, scope, risks, issues, and dependencies to support timely delivery and quality outcomes
  • Overseeing delivery teams responsible for data ingestion, transformation, migration, validation, and deployment activities
  • Coordinating with client stakeholders, functional teams, and technical teams to align delivery objectives and execution plans
  • Monitoring delivery metrics, workstream performance, and quality controls across multiple project activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in data engineering, data integration, data migration, or data conversion delivery
  • 4+ years of experience leading project teams or delivery workstreams
  • 2+ years of experience managing delivery of extract, transform, and load processes, data mapping, data validation, and conversion activities
  • 2+ years of experience using project tracking, issue management, and status reporting methods in a delivery environment
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting government or public sector engagements
  • Experience delivering cloud-based data platform implementations
  • Experience with data quality, test planning, and production deployment activities
  • Experience managing multiple concurrent delivery priorities
  • Experience working in a delivery center or shared services model
Qualifications:

Deloitte is seeking a Delivery Manager, Data Engineering and Conversion Solutions to lead the delivery of data engineering, data conversion, and platform implementation work for Government & Public Services clients. This role will oversee delivery teams, manage execution across the project lifecycle, and drive quality, timeliness, and operational consistency for complex data-focused engagements. The ideal candidate brings experience leading large-scale data delivery efforts, managing cross-functional teams, and supporting client outcomes in a structured delivery model.

Work you'll do

As a Delivery Manager, Data Engineering and Conversion Solutions on the AI & Data team, you will be responsible for...

  • Leading end-to-end delivery of data engineering and data conversion workstreams across client engagements
  • Managing project plans, scope, risks, issues, and dependencies to support timely delivery and quality outcomes
  • Overseeing delivery teams responsible for data ingestion, transformation, migration, validation, and deployment activities
  • Coordinating with client stakeholders, functional teams, and technical teams to align delivery objectives and execution plans
  • Monitoring delivery metrics, workstream performance, and quality controls across multiple project activities

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

This opportunity sits within our Deloitte US Delivery Center model, which is dedicated to driving impactful business services. It leverages Deloitte's scale and talent, as well as a center delivery model to provide high-quality, cost-effective service with standardized processes and procedures to service businesses across Deloitte.

The Deloitte US Delivery Center has a small-business feel with a big-business impact. With the resources of Deloitte and a community feel, the delivery center model provides high-quality services to our clients. USDC professionals work out of one of our specific delivery center locations, and each location presents dynamic career opportunities for professionals to focus on their work with nominal travel requirements.

Qualifications

Required:

  • Bachelor's degree
  • 8+ years of experience in data engineering, data integration, data migration, or data conversion delivery
  • 4+ years of experience leading project teams or delivery workstreams
  • 2+ years of experience managing delivery of extract, transform, and load processes, data mapping, data validation, and conversion activities
  • 2+ years of experience using project tracking, issue management, and status reporting methods in a delivery environment
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience supporting government or public sector engagements
  • Experience delivering cloud-based data platform implementations
  • Experience with data quality, test planning, and production deployment activities
  • Experience managing multiple concurrent delivery priorities
  • Experience working in a delivery center or shared services model
Education:Bachelor's DegreeEmployment Type:

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