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Csv Validation Engineer Jobs (NOW HIRING)

CSV Validation Engineer

Atlanta, GA ยท Remote

$90K - $125K/hr

This is a remote position. SR CSV Validation Engineer Location: Remote Role type: Contract The Opportunity A growing technology company serving pharmaceutical and other regulated manufacturing ...

Our partner is looking for a CSV Validation Engineer based in Netherlands. This is a senior, hands-on validation role supporting complex technology platforms used in pharmaceutical and other GxP ...

New

... in Engineering, Computer Science or related discipline Desired ON-THE-JOB EXPERIENCE 7+ years of Computer System Validation experience Desired KNOWLEDGE, SKILLS AND EXPERIENCE In depth CSV ...

... in Engineering, Computer Science or related discipline Desired ON-THE-JOB EXPERIENCE 7+ years of Computer System Validation experience Desired KNOWLEDGE, SKILLS AND EXPERIENCE In depth CSV ...

Sr. CSV Validation Engineer

Lexington, MA ยท On-site

$115K - $140K/yr

... in Engineering, Computer Science or related discipline Desired ON-THE-JOB EXPERIENCE 7+ years of Computer System Validation experience Desired KNOWLEDGE, SKILLS AND EXPERIENCE In depth CSV ...

Company Description CSV Validation with Application Testing Qualifications Additional Information All your information will be kept confidential according to EEO guidelines.

... CSV Validation Engineer ... This role is responsible for authoring and executing validation test scripts for regulated systems ...

Katalyst CRO is seeking an IT CSV Validation Engineer responsible for authoring and executing validation test scripts to support regulated systems within a GxP life sciences environment. This role ...

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Csv Validation Engineer information

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How much do csv validation engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for csv validation engineer in the United States is $52.00, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $63.22 per hour, depending on experience, location, and employer.

What is a CSV validation engineer?

CSV Validation Engineers are professionals responsible for ensuring that computerized systems used in regulated industries, such as pharmaceuticals or biotechnology, comply with industry standards and regulations. CSV stands for Computer System Validation, which involves testing and documenting that systems function as intended and meet regulatory requirements for data integrity and security. These engineers typically create validation protocols, perform risk assessments, and support audits. Their work is crucial to ensure that electronic records and processes are reliable, traceable, and meet legal and industry guidelines.

What are some common challenges faced by a CSV validation engineer when working with cross-functional teams?

As a CSV Validation Engineer, one common challenge is ensuring clear communication and understanding between IT, QA, and business process teams regarding regulatory requirements and validation protocols. Misalignment on validation deliverables or timelines can occur, especially when teams have differing priorities or levels of familiarity with compliance frameworks. Proactively facilitating discussions, clarifying documentation, and providing training on Computer System Validation standards can help bridge gaps and keep projects on track.

What are the key skills and qualifications needed to thrive as a CSV validation engineer, and why are they important?

To thrive as a CSV (Computer System Validation) Validation Engineer, you need expertise in validation methodologies, regulatory compliance (such as FDA 21 CFR Part 11), and a background in life sciences or engineering. Familiarity with validation tools, documentation systems, and quality management software is typically required, along with knowledge of industry standards like GAMP 5. Strong attention to detail, analytical thinking, and effective communication skills set outstanding candidates apart. These competencies ensure validated systems meet regulatory requirements, maintain data integrity, and support safe, compliant operations in regulated environments.

What is the difference between Csv Validation Engineer vs Data Quality Analyst?

AspectCsv Validation EngineerData Quality Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; familiarity with data validation toolsBachelor's in Data Science, Statistics, or related; certifications like CDMP are common
Work EnvironmentData teams, software development, quality assuranceData analysis, reporting, data governance teams
Industry UsageTech, finance, healthcare, where data validation is criticalBusiness intelligence, analytics, data management sectors

The Csv Validation Engineer primarily focuses on validating and ensuring the accuracy of CSV data files through automated tools and scripts. In contrast, the Data Quality Analyst evaluates overall data quality, identifies issues, and implements data governance practices. Both roles require strong analytical skills and familiarity with data management, but their core responsibilities differ in scope and focus.

More about Csv Validation Engineer jobs

What cities are hiring for Csv Validation Engineer jobs?

Cities with the most Csv Validation Engineer job openings:

What states have the most Csv Validation Engineer jobs?

States with the most job openings for Csv Validation Engineer jobs include:

Infographic showing various Csv Validation Engineer job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,152 per year, or $52 per hour.

CSV Validation Engineer

Genovice

Atlanta, GA โ€ข Remote

$90K - $125K/hr

Full-time

Posted 4 days ago


Job description

This is a remote position.

SR CSV Validation Engineer
Location: Remote
Role type: Contract

The Opportunity

A growing technology company serving pharmaceutical and other regulated manufacturing environments is seeking an experienced Senior Computerized System Validation Engineer.

This is a hands-on validation role responsible for planning, developing, executing, and maintaining computerized system validation activities for a technology platform that includes cloud software, edge devices, scientific instrument connectivity, data-processing services, APIs, databases, and integrations with laboratory and manufacturing systems.

The Senior CSV Validation Engineer will translate system functionality and regulatory requirements into practical, risk-based validation deliverables. This person will work closely with Engineering, Product, Quality, and technical subject-matter experts to ensure systems are appropriately specified, tested, documented, and maintained in a validated state.

This role is distinct from independent Quality oversight. The Senior CSV Validation Engineer will prepare and execute validation work, investigate discrepancies, and assemble objective evidence for review and approval by Quality.

Key Responsibilities
Validation Planning and Execution
  • Develop and execute risk-based validation strategies for new systems, product features, integrations, infrastructure changes, and customer implementations

  • Define validation scope based on intended use, system complexity, data-integrity impact, product-quality risk, and applicable regulatory requirements

  • Create and maintain computerized system validation deliverables, including:

    • Validation plans

    • System and intended-use descriptions

    • User requirements specifications

    • Functional and configuration specifications

    • Data-flow and system-interface documentation

    • GxP and data-integrity risk assessments

    • Validation test plans and protocols

    • Installation Qualification documentation

    • Operational Qualification documentation

    • Performance Qualification documentation, where applicable

    • Requirements traceability matrices

    • Validation deviation and discrepancy records

    • Validation summary reports

    • System retirement and data-migration documentation

  • Author clear, objective, and testable acceptance criteria

  • Execute validation protocols and accurately document results and supporting evidence

  • Ensure requirements, risks, tests, defects, and validation evidence are fully traceable

  • Assemble complete validation packages for independent Quality review and approval

  • Apply Computer Software Assurance principles where appropriate while maintaining compliance with customer and regulatory expectations

Platform and Integration Validation
  • Validate systems that combine browser-based applications, cloud services, APIs, databases, edge devices, and scientific instruments

  • Validate instrument onboarding, configuration, communication, data capture, remote operation, and result processing

  • Verify data flows from scientific instruments through edge and cloud components into external laboratory or manufacturing systems

  • Validate data transformation, mapping, contextualization, unit conversion, storage, retrieval, and synchronization

  • Verify integrations with LIMS, MES, ELN, QMS, and other customer systems

  • Assess and test interface risks, including:

    • Incomplete or malformed data

    • Incorrect field mappings

    • Duplicate or delayed transactions

    • Communication interruptions

    • Device disconnection

    • Partial processing

    • Failed synchronization

    • Retry and recovery behavior

    • Incorrect timestamps or record attribution

  • Confirm that system behavior during network or power interruptions does not result in lost, duplicated, corrupted, or incorrectly attributed data

  • Validate system recovery, backup, restore, business-continuity, and disaster-recovery controls where applicable

Part 11, Annex 11 and Data Integrity
  • Assess system functionality against FDA 21 CFR Part 11, EU GMP Annex 11, PIC/S GMP, GAMP 5, and applicable Asia-Pacific expectations

  • Validate controls for:

    • Electronic records

    • Electronic signatures

    • Audit trails

    • User identity and authentication

    • Role-based access

    • Security and unauthorized-access prevention

    • Date and time controls

    • Record review and approval

    • Data retention and archival

    • Backup and recovery

    • System availability

    • Data migration

  • Verify that audit trails accurately capture relevant user activity, system events, changes, timestamps, and record history

  • Test electronic-signature meaning, attribution, manifestation, security, and linkage to the associated electronic record

  • Apply ALCOA+ principles throughout validation planning, execution, and documentation

  • Ensure validation evidence is complete, attributable, legible, contemporaneous, original, accurate, and inspection-ready

Change Control and Validated-State Maintenance
  • Perform validation impact assessments for software releases, configuration changes, infrastructure updates, bug fixes, and integration changes

  • Determine the appropriate level of validation and regression evidence for each change

  • Support release planning by identifying validation dependencies, risks, deliverables, and timelines

  • Maintain validation documentation as the platform and supporting infrastructure evolve

  • Support periodic system reviews to confirm that systems remain fit for intended use and in a validated state

  • Assess deviations, incidents, CAPAs, security events, and known defects for validation impact

  • Support controlled system retirement, data migration, archival, and decommissioning activities

  • Ensure open validation discrepancies are appropriately evaluated, documented, resolved, or formally accepted before release

Collaboration and Audit Support
  • Partner with Engineering and Product teams to make requirements clear, testable, and traceable

  • Review engineering test plans and results to determine whether existing evidence can be appropriately leveraged for validation

  • Work with software testers to avoid unnecessary duplication while ensuring GxP risks are adequately covered

  • Coordinate validation activities across Engineering, Product, Operations, Quality, suppliers, and customer teams

  • Respond constructively to independent Quality review comments and resolve documentation or evidence gaps

  • Support supplier assessments for cloud services, software components, infrastructure providers, and other GxP-relevant vendors

  • Prepare validation documentation for customer audits, supplier audits, and regulatory inspections

  • Participate in audit interviews and clearly explain validation strategies, risk decisions, test evidence, and system controls

  • Support responses to audit observations and complete assigned corrective actions

Required Qualifications
  • At least 10 years of computerized system validation experience in pharmaceutical, biotechnology, life sciences, or another GxP-regulated environment

  • Demonstrated experience personally creating and executing end-to-end CSV deliverables

  • Strong working knowledge of:

    • FDA 21 CFR Part 11

    • EU GMP Annex 11

    • PIC/S GMP expectations

    • GAMP 5

    • ALCOA+ data-integrity principles

  • Experience applying risk-based validation and Computer Software Assurance approaches

  • Experience writing user requirements, risk assessments, validation plans, protocols, traceability matrices, deviations, and validation summary reports

  • Experience executing and documenting IQ, OQ, and PQ activities where applicable

  • Experience validating configurable software, SaaS applications, cloud platforms, laboratory systems, manufacturing systems, or integrated technologies

  • Strong understanding of electronic records, electronic signatures, audit trails, access controls, backup, recovery, security, retention, and archival requirements

  • Experience evaluating software changes and determining appropriate validation and regression scope

  • Ability to review technical documentation, system architecture, data flows, API specifications, and engineering test evidence

  • Excellent technical writing and documentation skills

  • Strong analytical and troubleshooting abilities

  • Ability to manage multiple validation workstreams and deliverables with limited supervision

  • Ability to collaborate effectively in a remote, cross-functional environment

Strongly Preferred
  • Experience validating platforms that combine cloud software, hardware, edge computing, IoT devices, and scientific instruments

  • Experience with laboratory instruments used in pharmaceutical manufacturing or controlled environments

  • Experience validating integrations with LIMS, MES, ELN, or QMS platforms

  • Familiarity with REST APIs, relational databases, SQL, MQTT, and asynchronous messaging

  • Experience validating data transformations, field mappings, unit conversions, and multi-vendor data formats

  • Experience working within an Agile software-development lifecycle

  • Experience leveraging automated engineering tests as validation evidence

  • Familiarity with infrastructure qualification and cloud supplier assessment

  • Experience supporting customer-specific configurations and system deployments

  • Experience with Japanese PMDA expectations or other Asia-Pacific authorities operating within or aligned with PIC/S frameworks

  • Experience participating in customer audits or regulatory inspections

  • Familiarity with deviation management, CAPA, change control, document control, and periodic review processes

What We’re Looking For

The successful candidate understands that validation is more than producing documents. You can understand how a complex system works, identify the functions and data most critical to regulated users, and create proportionate evidence that the system is fit for its intended use.

You are comfortable moving between regulatory requirements and technical details. You can discuss data integrity with Quality, API behavior with Engineering, intended use with Product, and operational workflows with customers.

You produce clear, defensible documentation and do not rely on vague or repetitive test scripts. You know how to challenge requirements, investigate discrepancies, document unexpected results, and distinguish true product risks from low-value documentation exercises.

You are also comfortable working in a growing organization where validation processes are still maturing. You can introduce structure, templates, and discipline while remaining practical and delivery-focused.

What Success Looks Like

During the first six months, the Senior CSV Validation Engineer will:

  • Develop a detailed understanding of the platform’s architecture, intended uses, data flows, and GxP-critical functions

  • Establish consistent, risk-based validation deliverables and templates

  • Complete validation packages for priority systems, features, and integrations

  • Improve traceability among requirements, risks, tests, defects, and validation evidence

  • Establish an effective approach for leveraging engineering testing without compromising Quality independence

  • Strengthen validation impact assessments for software and infrastructure changes

  • Identify and remediate gaps in existing validation documentation

  • Improve the completeness, consistency, and audit readiness of validation records

  • Support the Quality organization in maintaining the platform in a validated state