ZipRecruiter

Log In

1

Data Conversion Operator Jobs (NOW HIRING)

Cummins

Quantum - Data Conversion Lead

Indianapolis, IN · On-site +1

$120K - $180K/yr

We are looking for a talented Quantum - Data Conversion Lead to join our team in Systems ... Quality Assurance Metrics - Apply IT Operating Model (ITOM) measurement practices, including SDLC ...

CYNET SYSTEMS

Data Conversion Lead

Portsmouth, NH · On-site

$75/hr

Lead and manage the overall data conversion strategy approach and execution. * Analyze source and ... recruitment engine operating across North America and Asia--ensuring speed, quality, and ...

Karmak, Inc.

Data Migration Analyst

Carlinville, IL · Remote

$50K - $70K/yr

Mentors all Implementation team members actively doing Data Conversion on best practices, potential roadblocks, processes, and standard operating procedures. * Has knowledge and understanding of SQL ...

USM

Urgent Need Database Analyst

Tallahassee, FL · On-site

... and data conversion/migration implementation plan Writes and reviews test cases Reviews and ... or Linux operating system environment Minimum of 5 years of experience performing Data ...

USM

Database Analyst

Tallahassee, FL · On-site

... and data conversion/migration implementation plan Writes and reviews test cases Reviews and ... or Linux operating system environment Minimum of 5 years of experience performing Data ...

Axon

Solutions Architect, Records/Standards

Scottsdale, AZ · Hybrid

$63.50 - $83.50/hr

Operating with a high degree of autonomy, the Solution Architect, Data Conversion is responsible for achieving superior customer satisfaction through the timely and effective delivery of technical ...

Axon

Solutions Architect, Records/Standards

Scottsdale, AZ · On-site

$63.50 - $83.50/hr

Operating with a high degree of autonomy, the Solution Architect, Data Conversion is responsible for achieving superior customer satisfaction through the timely and effective delivery of technical ...

Axon

Solutions Architect, Records/Standards

Scottsdale, AZ · Hybrid

$63.75 - $84/hr

Operating with a high degree of autonomy, the Solution Architect, Data Conversion is responsible for achieving superior customer satisfaction through the timely and effective delivery of technical ...

Engine

Staff Data Analyst, Growth

... conversion, evaluate PLG initiatives, and identify the drivers of sustainable growth ... The ideal candidate is highly analytical, technically strong, and comfortable operating in ...

next page

Showing results 1-20

People also search for

All JobsData Conversion Operator Jobs

Data Conversion Operator information

See salary details

$5

$58

$93

How much do data conversion operator jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data conversion operator in the United States is $58.39, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $72.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Conversion Operator, and why are they important?

To thrive as a Data Conversion Operator, you need strong attention to detail, data entry skills, and proficiency in managing large datasets, typically requiring at least a high school diploma. Familiarity with data conversion software, spreadsheets (like Excel), and sometimes database management systems is essential. Strong organizational skills, accuracy, and the ability to work independently under deadlines set standout professionals apart. These abilities ensure data is converted efficiently and accurately, minimizing errors and supporting effective business operations.

What are some common challenges Data Conversion Operators face when working with legacy data formats?

Data Conversion Operators often encounter challenges when transferring data from outdated or proprietary systems into modern platforms. These challenges include dealing with inconsistent data structures, missing or corrupt information, and ensuring compatibility with new databases. Successful operators use specialized tools and meticulous attention to detail to resolve data discrepancies, collaborating closely with IT and database teams to ensure a smooth transition. Proactive communication and thorough testing are key strategies to overcome these hurdles and maintain data integrity.

What are Data Conversion Operators?

Data Conversion Operators are professionals responsible for converting data from one format to another, ensuring that information is accurately transferred and usable in new systems or applications. They often work with large volumes of data, performing tasks such as data entry, cleaning, validation, and migration. These operators must be detail-oriented and proficient with data management tools to minimize errors during the conversion process. Their role is crucial during system upgrades, software transitions, or when consolidating data from multiple sources.

What is the difference between Data Conversion Operator vs Data Entry Clerk?

AspectData Conversion OperatorData Entry Clerk
Required CredentialsHigh school diploma, technical trainingHigh school diploma or equivalent
Work EnvironmentData processing centers, IT departmentsOffice settings, administrative departments
Industry UsageData management, IT, software companiesGeneral administrative, business services
Common Search IntentData conversion skills, technical data handlingData entry, administrative tasks

The Data Conversion Operator focuses on transforming data between formats using specialized tools, often requiring technical skills and training. In contrast, a Data Entry Clerk primarily inputs data into systems, emphasizing speed and accuracy. While both roles handle data, the Data Conversion Operator is more technical, working with data formats and conversions, whereas the Data Entry Clerk handles routine data input tasks in administrative settings.

More about Data Conversion Operator jobs
Who are the top companies hiring for Data Conversion Operator jobs? The top employers for Data Conversion Operator jobs are:
What states have the most Data Conversion Operator jobs? States with the most job openings for Data Conversion Operator jobs include:
What job categories do people searching Data Conversion Operator jobs look for? The top searched job categories for Data Conversion Operator jobs are:
Data Conversion Operator jobs near you
Infographic showing various Data Conversion Operator job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 5% As Needed, 85% Full Time, 3% Part Time, 3% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,445 per year, or $58.4 per hour.
Quantum - Data Conversion Lead

Quantum - Data Conversion Lead

Cummins

Indianapolis, IN • On-site, Remote

$120K - $180K/yr

Full-time

Posted 11 days ago

Cummins rating

8.1

Company rating: 8.1 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

104th of 515 rated manufacturers

Job description

Job Description
We are looking for a talented Quantum - Data Conversion Lead to join our team in Systems/Information Technology from your remote home office.
In this role, you will make an impact in the following ways:
Own the outcome
  • Be the single owner for data readiness for each release, country, and plant-clean, complete, and on time.
  • Define the data conversion strategy, standards, and guardrails, and ensure consistent adoption.

Plan & prioritize
  • Own the end-to-end data conversion plan (objects, cycles, dependencies, milestones).
  • Prioritize the conversion backlog with Build, Functional, and Test leads.
  • Align data loads with environment refreshes and testing cycles (SIT, E2E, UAT, PAT).

Lead day-to-day execution
  • Review overnight data loads and conversion results; triage failures and data quality issues.
  • Direct daily work for data engineers and vendor SI partners to resolve root causes.
  • Ensure mappings, transformation rules, and reconciliation steps are accurate and repeatable.

Coordinate across tracks
  • Partner with Integration Leads to align interfaces and conversions (structures, timing, cutovers).
  • Collaborate with Functional Leads to validate business rules and required data shapes.
  • Work with Testing teams to ensure clean, stable data is available and defects tied to data are resolved.

Design governance
  • Lead reviews of conversion designs, mappings, and exception handling.
  • Enforce global standards for reuse, automation, error handling, and auditability.
  • Approve design changes that impact downstream processes, performance, or compliance.

Quality & controls
  • Define and enforce Definition of Ready / Definition of Done for conversion objects.
  • Set and monitor data quality thresholds (accuracy, completeness, duplicates, referential integrity).
  • Ensure reconciliation and business sign-offs are completed for each release.

Issue management & decisioning
  • Make day-to-day trade-off decisions (fix at source vs. transform vs. post-load correction).
  • Escalate issues only when schedule, cost, compliance, or scope is materially impacted.
  • Drive root-cause analysis for recurring issues and institutionalize permanent fixes.

Cutover readiness
  • Own the data conversion runbook, timing, staffing, and contingency plans.
  • Validate mock conversions and ensure cutover rehearsals meet timing and quality targets.
  • Lead data activities during go-live and support rapid stabilization.

Stakeholder communication
  • Provide clear, concise status updates-what's on track, what's at risk, and recommended actions.
  • Translate technical data issues into business impact.
  • Communicate readiness, risks, and mitigation plans to program and leadership teams.

People & partner leadership
  • Coach data engineers on scalable, reusable conversion patterns.
  • Manage vendor SI partners to outcomes and delivery commitments.
  • Build internal capability over time to reduce long-term dependency on external partners.

Compliance & auditability
  • Ensure data conversions comply with security, privacy, and retention requirements.
  • Maintain end-to-end data lineage and traceability from source to SAP.
  • Keep documentation current (mappings, rules, reconciliation templates, approvals).

Continuous improvement
  • Industrialize the data conversion factory through automation and standardization.
  • Track KPIs such as pass rates, reconciliation variances, and cycle times.
  • Capture lessons learned and scale improvements globally.

Responsibilities
To be successful in this role you will need the following:
  • Collaborates - Build strong partnerships across business, IT, and functional teams by proactively engaging stakeholders, aligning on shared goals, and contributing to outcomes that span organizational boundaries.
  • Communicates Effectively - Deliver clear, tailored communications across multiple formats (verbal, written, visual) to ensure technical and non-technical audiences understand decisions, risks, tradeoffs, and next steps.
  • Customer Focus - Establish trusted relationships with internal and external customers by deeply understanding their needs and consistently delivering solutions that create measurable value and positive user outcomes.
  • Decision Quality - Make timely, well-informed decisions using available data, technical standards, and business context, while balancing risk, urgency, and long-term impact.
  • Manages Ambiguity - Move work forward effectively when requirements, data, or direction are unclear by asking the right questions, testing assumptions, and iterating toward clarity without stalling progress.
  • Manages Complexity - Analyze and synthesize large volumes of complex or conflicting information to identify root issues, dependencies, and practical paths forward.
  • Tech Savvy - Stay current on emerging technologies and digital tools, and proactively apply relevant innovations to improve solution quality, efficiency, and scalability.
  • Quality Assurance Metrics - Apply IT Operating Model (ITOM) measurement practices, including SDLC standards, tools, metrics, and KPIs, to validate that solutions meet intended outcomes and quality expectations.
  • Solution Design - Define end-to-end solution designs using industry standards, version control, and build/test automation, ensuring designs are buildable, measurable, secure, compliant, and aligned to business and technical requirements.
  • System Solution Architecture - Create solution patterns aligned to the Cummins Technical Reference Model (CTRM), CLEAN standards, and approved reference architectures to ensure consistency, scalability, and governance compliance.
  • Data Quality - Identify and correct data defects that impact reporting, analytics, and decision-making, supporting strong information governance across operational processes.
  • Problem Solving - Solve complex problems using a disciplined, data-driven methodology by establishing problem traceability, identifying assignable and root causes, implementing robust solutions, and preventing recurrence while protecting the customer.

Qualifications
Education, Licenses, Certifications:
  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required.
  • This position may require licensing for compliance with export controls or sanctions regulations.

Experience:
  • Significant experience in a relevant discipline area is required.
  • Knowledge of the latest technologies and trends in data engineering are highly preferred and includes:
    - Analyzing complex business systems, industry requirements, and/or data regulations
    - A strong background in processing and managing large data sets
    - Proven Architecture and design experience in Big Data open source tools including but not limited to Java, Map-Reduce, SPARK, HBase, Hive, Kafka, ODBC and SQL query language
    - Proven design and development experience in clustered compute cloud-based implementation experience
    - Experience developing applications requiring large file movement for a Cloud-based environment and other data extraction tools and methods from a variety of sources
    - Experience in building analytical solutions
    - Experience in databases and data management
    Significant experiences in the following are preferred:
    - Experience with IoT technology
    - Experience in Agile software development

Additional Responsibilities
  • Define & Lead Data migration strategy: Full ownership of migration strategy including Mock cycles, SIT, UAT, and PROD cutover.
  • Execute ETL cycles: Lead extraction, transformation, validation and load (maybe not because of the SI partner)
  • Must drive cleansing, approvals, data readiness
  • Critical partnership for data mapping & validation

Additional Competencies:
  • Experience and thorough knowledge of SAP data structures
  • Data profiling & validation tools such as BODS
  • ETL concepts

Additional Experience:
  • Delivery of multi-cycle programs
  • SAP ERP data migration experience
  • SAP business process knowledge

About Us
Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

What Cummins employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Cummins logo

About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919

View All Cummins Jobs

Apply