Mid Level Data Migration Specialist Jobs
Mid level data migration specialist jobs go to professionals ready to own migration projects end to end, make architectural decisions with limited oversight, and guide junior team members through complex data pipelines. Openings run across Technology & Software, Consulting & Professional Services, and Accounting & Auditing, with 50% remote or hybrid availability, and employers like Veeva Systems, CliniSys, and NTT DATA hiring at this level now.
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Position Summary
Seeking a hands-on LabVantage LIMS specialist with pharmaceutical or biotech QC experience. The role involves configuring and loading specifications, test methods, sampling plans, parameter lists, consumables, and LES templates.
Key Responsibilities
- Set up and load local master data in accordance with global guidelines, governance standards, and data principles.
- Build, configure, and load required master data into the global LabVantage LIMS platform, including consumables, sampling plans, specifications, parameter lists, test methods, and Laboratory Execution System (LES) templates.
- Map and align master data across LIMS and related source or destination platforms, identifying gaps, inconsistencies, and dependencies.
- Cleanse, review, and verify local data to improve completeness, consistency, accuracy, and readiness for migration or production use.
- Support data reconciliation, issue resolution, and quality checks before and after data loads.
- Develop clear local work instructions that describe how global master data processes will be executed at the site level.
- Collaborate with Quality Control, the global gLIMS team, Manufacturing Operations, and other cross-functional stakeholders.
- Track assigned deliverables, communicate risks or data-quality issues promptly, and complete work with limited supervision.
- Maintain documentation and records in accordance with applicable quality, data-integrity, and regulatory requirements.
Required Qualifications
- Direct, minimum five years of recent hands-on LabVantage experience
- LIMS master-data configuration, migration, or loading
- Pharmaceutical, biotech, or regulated laboratory experience
- Understanding of specifications, methods, parameters, sampling plans, or LES
Education
Bachelor's degree in a scientific, technical, information systems, or related discipline is preferred. Relevant hands-on experience may be considered in place of a degree.
Preferred Qualifications
- Experience supporting a global or multi-site LIMS implementation.
- Experience authoring site work instructions, SOPs, or controlled process documentation.
- Experience supporting validated computerized systems in a GxP environment.
Key Competencies
Data accuracy and quality focus; structured problem-solving; ownership and accountability; cross-functional collaboration; clear communication; adaptability; and the ability to prioritize multiple deliverables.
Quality and Safety Expectations
Follow all applicable site safety procedures, required training, quality policies, and cGMP expectations. Promptly identify and escalate data-integrity, quality, compliance, or safety concerns through the appropriate channels.
Position Summary
Seeking a hands-on LabVantage LIMS specialist with pharmaceutical or biotech QC experience. The role involves configuring and loading specifications, test methods, sampling plans, parameter lists, consumables, and LES templates.
Key Responsibilities
- Set up and load local master data in accordance with global guidelines, governance standards, and data principles.
- Build, configure, and load required master data into the global LabVantage LIMS platform, including consumables, sampling plans, specifications, parameter lists, test methods, and Laboratory Execution System (LES) templates.
- Map and align master data across LIMS and related source or destination platforms, identifying gaps, inconsistencies, and dependencies.
- Cleanse, review, and verify local data to improve completeness, consistency, accuracy, and readiness for migration or production use.
- Support data reconciliation, issue resolution, and quality checks before and after data loads.
- Develop clear local work instructions that describe how global master data processes will be executed at the site level.
- Collaborate with Quality Control, the global gLIMS team, Manufacturing Operations, and other cross-functional stakeholders.
- Track assigned deliverables, communicate risks or data-quality issues promptly, and complete work with limited supervision.
- Maintain documentation and records in accordance with applicable quality, data-integrity, and regulatory requirements.
Required Qualifications
- Direct, minimum five years of recent hands-on LabVantage experience
- LIMS master-data configuration, migration, or loading
- Pharmaceutical, biotech, or regulated laboratory experience
- Understanding of specifications, methods, parameters, sampling plans, or LES
Education
Bachelor's degree in a scientific, technical, information systems, or related discipline is preferred. Relevant hands-on experience may be considered in place of a degree.
Preferred Qualifications
- Experience supporting a global or multi-site LIMS implementation.
- Experience authoring site work instructions, SOPs, or controlled process documentation.
- Experience supporting validated computerized systems in a GxP environment.
Key Competencies
Data accuracy and quality focus; structured problem-solving; ownership and accountability; cross-functional collaboration; clear communication; adaptability; and the ability to prioritize multiple deliverables.
Quality and Safety Expectations
Follow all applicable site safety procedures, required training, quality policies, and cGMP expectations. Promptly identify and escalate data-integrity, quality, compliance, or safety concerns through the appropriate channels.
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- Technology & Software
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- Accounting & Auditing
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Mid Level Data Migration Specialist Jobs: Frequently Asked Questions
How do I get a mid level data migration specialist job?
Position your experience around project ownership, not just task completion. Highlight migrations you led from discovery through cutover, the data volumes you handled, and the tools you used, such as Informatica, Talend, or AWS DMS. Demonstrate that you can communicate migration risks to stakeholders and that you have resolved data quality or compatibility issues independently. Concrete outcomes and technologies matter more than titles.
Which companies hire mid level data migration specialists?
Companies hiring mid level data migration specialists right now include Veeva Systems, CliniSys, and NTT DATA, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from enterprises undergoing cloud transitions, healthcare systems modernizing patient data infrastructure, and financial services firms consolidating platforms after mergers or regulatory changes.
Are there remote mid level data migration specialist jobs?
Yes, remote work is well established in this field. About 50% of mid level data migration specialist openings are remote or hybrid as of November 2026, reflecting how much of the work, including schema mapping, ETL pipeline development, and validation testing, can be done without being on site. Some roles do require periodic travel for cutover support or stakeholder alignment.
How do I move up to a mid level data migration specialist role?
Moving from entry level to mid level means building a record of progressively larger migrations with measurable outcomes. Focus on deepening your skills in ETL tooling, data validation, and schema transformation, and take on work that requires you to coordinate across teams rather than execute within one. Earning a cloud data certification and contributing to post-migration audits demonstrates the judgment and ownership employers expect at the mid level.
Which industries hire the most mid level data migration specialists?
Mid Level data migration specialist roles concentrate in Technology & Software, Consulting & Professional Services, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. These sectors drive consistent hiring because they manage large legacy data environments, face ongoing compliance requirements, and are actively moving workloads to cloud platforms, all of which require experienced specialists who can manage complexity without close supervision.