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Data Migration Project Jobs (NOW HIRING)

Hirekeyz Inc

Data Migration Consultant

Cleveland, OH · On-site

Cleveland, OH-Onsite Duration: Full Time Skills: 3DEXPERIENCE knowledge ENOVIA, CATIA and have worked on Data Migration projects We are looking for a Data Migration Consultant with strong experience ...

Navtech, Inc.

SAP Data Migration Lead

SAP Data Lead with multiple SAP Data migration project experience (Data migration project experience is a MUST with a lead role) * Exposure to SAP HANA. Understanding of Structure difference between ...

Impact Makers

Project Manager - Data Migration

Richmond, VA

$51.25 - $69.25/hr

The Project Manager will be responsible for overseeing the entire data migration process from The PM will ensure that all project objectives are met on time, within scope, and within budget The PM ...

1 point system

SAP Data Migration

Santa Clarita, CA · On-site

SAP BODS hands-on experience Must have completed data migration into SAP S/4 for at least 2-3 projects (Note: SAP BODS experience for BI/BW migration is different; we require S/4 migration experience ...

Pierce Technology Corporation

$48 - $64.75/hr

* Lead and manage data migration projects within the financial services sector, ensuring seamless transfer of data between systems. * Develop detailed project plans, timelines, and risk mitigation ...

1 point system

Data Project Manager

Dublin, CA · On-site

$58.25 - $78.75/hr

EDW Migration Project - lift and shift from Netezza to Snowflake haves) * 3+ years of Project ... Prior experience with Data Migration projects * Any experience with Snowflake, ETL tools, Batch ...

Maintec Technologies

Financial migration project from SAP to Databricks. Job Summary Client is seeking an experienced SAP Finance Data Migration & Analytics Consultant to support a large-scale financial data ...

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How much do data migration project jobs pay per hour?

As of May 29, 2026, the average hourly pay for data migration project in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Data Migration Project role, and why are they important?

To thrive in a Data Migration Project role, you need expertise in database management, data mapping, and transformation, often supported by a background in computer science or IT. Familiarity with migration tools (like Informatica, Talend, or Microsoft SSIS), scripting languages, and relevant certifications such as AWS or Azure Data Engineer is highly valuable. Strong problem-solving, communication, and attention to detail are crucial soft skills for collaborating across teams and ensuring data integrity. These skills ensure smooth, accurate migrations that minimize downtime and maintain business continuity.

What are some common challenges faced during a Data Migration Project and how are they typically addressed?

Data migration projects often encounter challenges such as data quality issues, compatibility between source and target systems, and minimizing downtime during cutover. Teams typically address these by performing thorough data profiling and cleansing before migration, using robust mapping and validation tools to ensure data integrity, and scheduling migrations during low-usage periods to reduce business disruption. Close collaboration with stakeholders and IT teams is vital to identify potential risks early and resolve them efficiently.

What is a Data Migration Project?

A Data Migration Project involves transferring data from one system, storage type, or format to another. This process is often necessary during system upgrades, consolidation, or when moving data to the cloud. The goal is to ensure that all important data is moved securely, efficiently, and with minimal disruption to business operations. Data migration projects require careful planning, validation, and testing to avoid data loss or corruption and to maintain data integrity.

What is the difference between Data Migration Project vs Data Analyst?

AspectData Migration ProjectData Analyst
Required CredentialsIT certifications, database knowledge, project management skillsStatistics, data analysis, visualization skills, often a degree in related fields
Work EnvironmentProject-based, IT teams, technical settingsOffice or remote, analytical and reporting focus
Employer & Industry UsageIT firms, large corporations, data-focused projectsBusiness, finance, marketing, and various industries

While both roles involve working with data, a Data Migration Project focuses on transferring data between systems, requiring technical and project management skills. A Data Analyst interprets data to provide insights, emphasizing analysis and reporting. Understanding these differences helps in choosing the right career path or job focus.

What cities are hiring for Data Migration Project jobs? Cities with the most Data Migration Project job openings:
What are the most commonly searched types of Data Migration Project jobs? The most popular types of Data Migration Project jobs are:
Data Migration Project jobs near you

Data Migration Consultant

Hirekeyz Inc

Cleveland, OH • On-site

Other

Posted 4 days ago

Job description

Role: Data Migration Consultant

Location: Cleveland, OH-Onsite

Duration: Full Time

Skills: 3DEXPERIENCE knowledge ENOVIA, CATIA and have worked on Data Migration projects

Job Description:
We are looking for a Data Migration Consultant with strong experience in PLM Data Migration to join our team. The ideal candidate will have solid knowledge of the 3DEXPERIENCE platform, including ENOVIA and CATIA, and proven experience working on data migration projects.

Key Skills Required:

  • Strong knowledge of 3DEXPERIENCE, ENOVIA, and CATIA
  • Hands-on experience in PLM Data Migration
  • Experience with data extraction, transformation, loading (ETL)
  • Good understanding of product structure and metadata mapping in PLM systems

Preferred:

  • Experience working on large-scale migration projects
  • Ability to work collaboratively with cross-functional teams
  • Strong communication and problem-solving skills