Mid Level Data Migration Engineer Jobs
Mid level data migration engineer jobs go to engineers ready to own end-to-end migration projects, guide junior teammates through complex pipelines, and make architectural decisions with limited oversight. Openings run across Technology & Software, Consulting & Professional Services, and Accounting & Auditing, with 50% of positions remote or hybrid, 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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Mid Level Data Migration Engineer Jobs: Frequently Asked Questions
How do I get a mid level data migration engineer job?
Position yourself around ownership, not just execution. Highlight projects where you led a migration from scoping through cutover, made decisions on schema mapping or ETL design, and resolved data quality issues independently. Certifications in cloud platforms like AWS, Azure, or GCP strengthen applications, as does demonstrated fluency in tools like Apache Spark, Talend, or Informatica. Tailor your resume to show measurable outcomes, such as reduced downtime or improved data accuracy rates.
Which companies hire mid level data migration engineers?
Companies hiring mid level data migration engineers right now include Veeva Systems, CliniSys, and NTT DATA, based on current listings on Migrate Mate as of November 2026. At this level, hiring covers large enterprises modernizing legacy systems, cloud-native technology firms scaling their data infrastructure, and consulting shops staffing complex client migration engagements.
Are there remote mid level data migration engineer jobs?
Yes, remote work is widely available at this level. About 50% of mid level data migration engineer openings are remote or hybrid as of November 2026, reflecting strong employer demand for experienced engineers who can coordinate migrations across distributed teams. Fully on-site roles do exist, typically at enterprises with strict data governance or regulated data environments.
How do I move up to a mid level data migration engineer role?
The path from entry level centers on building independent ownership over time. Start by moving beyond assigned tasks to leading smaller migration workstreams end to end, and develop depth in at least one cloud platform and one ETL toolset. Demonstrating that you can scope work, troubleshoot production issues without escalation, and communicate trade-offs to stakeholders signals readiness for mid level responsibility.
Which industries hire the most mid level data migration engineers?
Mid Level data migration engineer 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 hiring because they face constant pressure to consolidate legacy systems, adopt cloud-native infrastructure, and maintain data integrity across large-scale platform transitions.