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Csv Validation Engineer Jobs in Rochester, NY (NOW HIRING)

Csv Validation Engineer information

See Rochester, NY salary details

$22

$51

$77

How much do csv validation engineer jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for csv validation engineer in Rochester, NY is $51.30, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $62.36 per hour, depending on experience, location, and employer.

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 are Csv Validation Engineers?

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 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.

What are popular job titles related to Csv Validation Engineer jobs in Rochester, NY? For Csv Validation Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What cities near Rochester, NY are hiring for Csv Validation Engineer jobs? Cities near Rochester, NY with the most Csv Validation Engineer job openings:
AI Engineer - Manufacturing Data

AI Engineer - Manufacturing Data

Bausch + Lomb

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Bausch & Lomb rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

27th of 528 rated manufacturers


Job description

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world-from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better.
Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 13,000 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.
Objective:
This role sits at the intersection of the plant floor and the data platform. We are building our data and AI capability from the ground up - replacing fragmented systems, manual CSV exports, and information gaps with reliable pipelines, clean data, and intelligent tools. The first mission is foundational: build the infrastructure that gives operations, quality, and maintenance teams the visibility they need to make faster, better decisions. From there, this role will lead the application of agentic AI and ML platforms to automate workflows, surface insights, and scale impact across the plant. Success is measured by solutions shipped, adopted, and making a measurable difference on the floor.
Key Responsibilities:
Data Foundation & Pipeline Engineering
  • Assess current plant data infrastructure - identify where data is missing, poorly structured, or trapped in manual processes.
  • Design and build automated pipelines that replace manual CSV exports with sustainable, auditable data flows.
  • Integrate data from ERP, MES, QMS, and shop floor systems into unified reporting environments.
  • Ensure all pipelines and collection methods meet GxP and ISO documentation and validation requirements.

Analytics, Visualization & AI
  • Build dashboards and reports that translate manufacturing data into actionable insights for operators, supervisors, and leadership.
  • Develop Power Apps and Power Automate workflows that reduce manual effort for quality, maintenance, and operations teams.
  • Apply manufacturing knowledge - OEE, yield, cycle time, process variation - to ensure analytics are practically useful.
  • Build AI-powered agents and workflows using Microsoft Copilot Studio or Claude, starting with shift handover, production reporting, and maintenance tracking.
  • Integrate Azure AI services (Azure OpenAI, AI Search, Document Intelligence) to create intelligent tools that reason, retrieve, and respond.
  • Ensure all AI solutions are validated, documented, and auditable in a GxP/ISO environment.

Collaboration & Continuous Improvement
  • Work directly with plant supervisors, maintenance leads, quality engineers, and operations personnel to gather requirements and validate solutions.
  • Champion data-driven decision-making by building trust in data quality through consistent, reliable delivery.
  • Collaborate with IT Infrastructure Operations on hosting, access controls, data architecture, and compliance.
  • Lead projects for implementing or improving QMS, analytics, and automation software from requirements through sustainment.

Education/Experience:
  • Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, or related field required.
  • 3+ years of hands-on relevant experience strongly preferred; experience with manufacturing data systems, including ERP, MES, or QMS platforms.
  • Demonstrated history of delivering working solutions - dashboards, automations, integrations, or AI tools actively used in production.

Skills:
Required
  • Manufacturing fluency - genuine understanding of manufacturing processes, quality systems, and operational workflows; able to translate floor requirements into technical solutions.
  • Power BI, Power Apps & Power Automate - experienced building workflow automation and plant-facing applications.
  • Data pipeline & integration - design data collection structures, build integrations, and replace manual processes with reliable automated flows.
  • Agentic AI - hands-on experience building AI agents or Copilot solutions; not just using LLMs but building with them.
  • Systems integration - connecting ERP, MES, QMS, and shop floor systems into unified reporting environments.
  • Regulated environment - comfortable within GxP and/or ISO frameworks where solutions must be validated and documented.
  • Project ownership - able to manage projects independently, set priorities, and deliver without waiting for complete direction.
  • Communication - equally credible with a maintenance technician on the floor and with plant leadership.

Preferred
  • SQL - writing and modifying queries for extraction, transformation, and validation.
  • Azure AI services - Azure OpenAI, AI Search, Document Intelligence, or Data Factory.
  • Python - basic scripting for data manipulation, pipeline automation, or API integration.
  • Lean / Six Sigma - Green Belt or Black Belt.
  • Shop floor data systems - historian platforms, SCADA, or similar real-time sources.
  • Life sciences / pharmaceutical manufacturing - familiarity with FDA-regulated environments and data integrity requirements

This position may be available in the following location(s): Rochester, NY
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For U.S. locations that require disclosure of compensation, the starting pay for this role is between $81,600 and $110,400. The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors.
U.S. based employees may be eligible for short-term and/or long-term incentives. They may also be eligible to participate in medical, dental, vision insurance, disability and life insurance, a 401(k) plan and company match, a tuition reimbursement program (select degrees), company holidays, and well-being benefits, among others. U.S. based employees are also eligible to receive sick time, floating holidays and paid vacation.
Job Applicants should be aware of job offer scams perpetrated through the use of the Internet and social media platforms.
To learn more please read Bausch + Lomb's Job Offer Fraud Statement.
Our Benefit Programs: Employee Benefits: Bausch + Lomb
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About Bausch & Lomb

Sourced by ZipRecruiter

Bausch + Lomb (NYSE/TSX: BLCO) is a leading global eye health company dedicated to protecting and enhancing the gift of sight for millions of people around the world--from the moment of birth through every phase of life. Our mission is simple, yet powerful: helping you see better, to live better. Our comprehensive portfolio of over 400 products is fully integrated and built to serve our customers across the full spectrum of their eye health needs throughout their lives. Our iconic brand is built on the deep trust and loyalty of our customers established over our nearly 170-year history. We have a significant global research, development, manufacturing and commercial footprint of approximately 12,500 employees and a presence in approximately 100 countries, extending our reach to billions of potential customers across the globe. We have long been associated with many of the most significant advances in eye health, and we believe we are well positioned to continue leading the advancement of eye health in the future.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Bridgewater, NJ, US

Year founded

1853