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Data Conversion Engineer Jobs (NOW HIRING)

Workday Data Conversion Lead

Atlanta, NY · On-site

$73K - $210K/yr

You will lead data conversion strategy, work closely with business stakeholders, functional ... They may functionally customize the application, partner with application developers to design ...

Position Overview The Manager Data Conversion plays a pivotal role in ensuring the seamless ... Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ...

Position Overview The Manager Data Conversion plays a pivotal role in ensuring the seamless ... Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ...

Position Overview The Manager Data Conversion plays a pivotal role in ensuring the seamless ... Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ...

Data Conversion Specialist - Falls Church, VA Contract Falls Church, VA, US 23 days ago Requisition ... Bachelor's or Master's degree in computer science, Computer Engineering, Software Engineering, or a ...

As our Senior Data Conversion Lead, you will be creating and running H&W data conversion activities through SQL scripting and system tools. You will be a strategic force behind client H&W data ...

Snowflake Data Engineer

$117K - $140K/yr

The successful candidate will be responsible for leveraging engineering knowledge, developing open specifications, and managing data conversion and ingestion processes, primarily into Snowflake. Key ...

Showing results 41-60

Data Conversion Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data conversion engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data conversion engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a data conversion engineer?

Data Conversion Engineers are professionals who specialize in transferring data from one format, system, or storage type to another. They play a critical role during system upgrades, migrations, or consolidations by ensuring that data is accurately and efficiently converted without loss or corruption. Their responsibilities often include analyzing existing data structures, mapping data fields, developing conversion scripts or tools, testing the converted data, and troubleshooting issues that arise during the process. Data Conversion Engineers typically work closely with database administrators, software developers, and project managers to ensure seamless transitions between systems.

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

To thrive as a Data Conversion Engineer, you need expertise in data mapping, ETL (Extract, Transform, Load) processes, and a solid understanding of database structures, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Talend, Informatica, or SSIS, as well as knowledge of data migration methodologies, is essential. Strong problem-solving skills, attention to detail, and clear communication are crucial soft skills for identifying conversion issues and collaborating with stakeholders. These skills ensure accurate, efficient data migration and integration, minimizing errors and ensuring business continuity.

What are some common challenges faced by data conversion engineers during large-scale migration projects?

Data Conversion Engineers often encounter challenges such as handling inconsistent source data, managing tight project deadlines, and ensuring minimal data loss or corruption during migration. Collaborating closely with database administrators, business analysts, and end users is critical to clarify data requirements and resolve ambiguities in legacy systems. Robust testing and validation processes are essential to guarantee data accuracy and integrity throughout the conversion, making attention to detail and strong communication skills valuable assets in this role.

What is the difference between Data Conversion Engineer vs Data Analyst?

AspectData Conversion EngineerData Analyst
Primary FocusConverting and transforming data between formats and systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, scripting languages, data modelingExcel, SQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, database systemsBusiness intelligence platforms, dashboards, reporting tools
Industry UsageIT, software development, data managementMarketing, finance, healthcare, business analysis

While both roles handle data, Data Conversion Engineers focus on transforming data formats and ensuring seamless data flow between systems. Data Analysts interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job search focus.

More about Data Conversion Engineer jobs

Who are the top companies hiring for Data Conversion Engineer jobs?

The top employers for Data Conversion Engineer jobs are:

What states have the most Data Conversion Engineer jobs?

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

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

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

Infographic showing various Data Conversion Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Workday Data Conversion Lead

Atlanta, NY • On-site

Capgemini
Technology, Communication and Media • 10K+ employees

$73K - $210K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Analyze source system data and define data conversion requirements for Workday implementations.

  • Extract, cleanse, transform, map, and prepare legacy data for migration into Workday.

  • Partner with business, functional, and technical teams to identify and resolve data-related issues.


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 226 rated it services


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.About the Job You're ConsideringAs a Workday Data Conversion Lead you will play a critical role in Workday implementation and transformation programs by ensuring the accurate migration of HR, payroll, finance, and talent data from legacy systems into Workday. You will lead data conversion strategy, work closely with business stakeholders, functional consultants, and technical teams to design and execute data conversion strategies that support successful testing, deployment, and go-live activities. Workday Data Loading certification preferred or equivalent experience.Application Consultants understand the client business process, current and future, and map it to the technologies being used, giving a demarcation of what can be achieved through a standard implementation and what would need customizations or extensions to be done to the application. They may functionally customize the application, partner with application developers to design application enhancements and extensions, and work with business users to implement process changes.Individual should be able to conceptualize a business or technical solution leveraging colleagues and partners and must mastered at least one methodology in depth and have an advanced knowledge of one or more business domains, and one or more SaaS or package software solutions. This role has wide knowledge of industry innovations and competitor activity and actively engage in, and contribute to, internal and external knowledge developments. Individual has the solution knowledge and consulting skills to lead process improvements, analysis on business processes andor or IT and can advise clients on the implementation of one or more package modules. This role is responsible for workshop facilitation, integration testing and user acceptance testing. Individual is seen as active member within technology communities.Your RoleAnalyze source system data and define data conversion requirements for Workday implementations.Extract, cleanse, transform, map, and prepare legacy data for migration into Workday.Develop and maintain data mapping documents, conversion rules, and load schedules.Execute data loads using Workday Enterprise Interface Builder (EIB) and other Workday data loading tools.Perform data validation, reconciliation, and quality assurance activities to ensure data accuracy and integrity.Partner with business, functional, and technical teams to identify and resolve data-related issues.Support testing cycles, mock conversions, cutover planning, and go-live readiness activities.Your Skills and ExperienceBachelor's degree in Information Systems, Computer Science, Business, Human Resources, or a related field.Experience supporting Workday HCM, Payroll, Financial Management, Talent, or related Workday modules.Strong understanding of data migration, conversion methodologies, and best practices.Hands-on experience with Workday EIB, Workday Studio, reporting, and integrations.Advanced proficiency in Excel, SQL, data analysis, and data cleansing techniques.Strong analytical, troubleshooting, and problem-solving capabilities.Experience managing multiple data conversion activities within project timelines.Excellent communication and stakeholder management skills with the ability to collaborate across cross-functional teams.PreferredExperience supporting full-cycle Workday implementations or Workday transformation programs.Knowledge of data governance, data quality frameworks, and compliance requirements.Experience participating in multiple mock conversions, deployment activities, and production cutovers.Active Workday CertificationsThe base compensation range for this role in the posted location is: $73,150 - $210,250Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. #J-18808-Ljbffr

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