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Data Collection Jobs in Rochester, NY (NOW HIRING)

Bausch + Lomb

AI Engineer - Manufacturing Data

Rochester, NY · On-site

$113K - $135K/yr

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 ...

Deloitte

SAP BODS/Data Conversion Consultant

Rochester, NY · On-site

$65.75 - $85.75/hr

Support SAP data conversion and migration activities across the implementation lifecycle, including data collection, extraction, template preparation, mapping, transformation, validation, and defect ...

Varsity Tutors

Data Analysis Tutor

Rochester, NY · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Corning

Quality Data & Analytics Engineer

Fairport, NY

$68K - $88K/yr

Additionally, this engineer should be able to see beyond current data sources--spotting areas where information may be missing or incomplete--and design new data pipelines, collection strategies, and ...

Corning

Quality Data & Analytics Engineer

Fairport, NY · On-site

$68K - $88K/yr

Additionally, this engineer should be able to see beyond current data sources-spotting areas where information may be missing or incomplete-and design new data pipelines, collection strategies, and ...

Corning

Quality Data & Analytics Engineer

Fairport, NY · On-site

$68K - $88K/yr

Additionally, this engineer should be able to see beyond current data sources-spotting areas where information may be missing or incomplete-and design new data pipelines, collection strategies, and ...

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All JobsData Collection JobsData Collection Jobs in Rochester, NY

Data Collection information

See Rochester, NY salary details

$15

$23

$29

How much do data collection jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data collection in Rochester, NY is $23.86, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $24.47 per hour, depending on experience, location, and employer.

What is the difference between Data Collection vs Data Analyst?

AspectData CollectionData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require certifications in data toolsBachelor's degree in data science, statistics, or related field; certifications like SQL or Python often preferred
Work EnvironmentFieldwork, surveys, online data gathering, or office-based data entryOffice setting, analyzing data sets, creating reports
Employer & Industry UsageResearch firms, marketing agencies, government agenciesTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding data collection methods and rolesAnalyzing data to derive insights and support decision-making

Data Collection involves gathering raw data through various methods, while Data Analysts interpret and analyze that data to generate insights. Both roles are essential in data-driven industries but focus on different stages of the data process.

What jobs make $1,000,000 a year?

In data collection roles, earning $1,000,000 annually is uncommon and typically requires executive-level positions or entrepreneurial ventures related to data services. High earnings may be achieved through leadership roles, consulting, or owning a data-focused business with significant scale. Most data collection jobs offer salaries below this threshold, with top earners often supplementing income through bonuses or profit sharing.

What are the key skills and qualifications needed to thrive as a Data Collection Specialist, and why are they important?

To thrive as a Data Collection Specialist, you need strong analytical abilities, attention to detail, and a background in statistics or data management, often supported by a relevant degree or coursework. Familiarity with data collection tools like survey platforms, Excel, and database management systems, as well as knowledge of data privacy regulations, is essential. Strong organizational skills, clear communication, and adaptability help ensure accuracy and efficiency in gathering and recording data. These skills are crucial for collecting reliable data that supports informed decision-making and organizational objectives.

What are some common challenges faced by professionals in data collection roles, and how can they be overcome?

Data collection professionals often encounter challenges such as ensuring data accuracy, managing large volumes of data, and maintaining data privacy. Inaccurate or incomplete data can compromise analysis, so attention to detail and robust validation processes are essential. Additionally, collaborating closely with other team members, such as analysts and IT staff, helps streamline workflows and troubleshoot issues quickly. Staying updated on best practices and using reliable tools can further improve efficiency and data quality.

What is data collection?

Data collection is the process of gathering and measuring information on targeted variables in a systematic way to answer research questions, test hypotheses, or evaluate outcomes. It is a critical first step in research, analytics, and decision-making, ensuring that the data collected is accurate, reliable, and relevant. Data collection can be done through various methods, including surveys, interviews, observations, or digital tools, depending on the objectives and resources available. Proper data collection enables organizations and researchers to make informed decisions based on evidence and trends.

What profession makes $400,000 a year?

In the field of data collection, senior roles such as data scientists or data engineers with extensive experience and advanced skills can earn salaries approaching or exceeding $400,000 annually, especially in high-demand industries or companies. These positions often require expertise in programming, statistical analysis, and data management tools, along with a strong educational background and certifications.

What do data collection jobs do?

Data collection jobs involve gathering, recording, and organizing information from various sources such as surveys, websites, or databases. Workers often use tools like spreadsheets or data entry software and may need attention to detail and accuracy to ensure data quality. These roles are common in research, marketing, and analytics environments.

What is a data collector's salary?

A data collector's salary varies depending on experience, location, and industry, but typically ranges from $12 to $25 per hour. Entry-level positions may pay closer to minimum wage, while experienced data collectors or those with specialized skills can earn higher wages, especially if working in research or technical environments.
What are popular job titles related to Data Collection jobs in Rochester, NY? For Data Collection jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Collection jobs in Rochester, NY look for? The top searched job categories for Data Collection jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Collection jobs? Cities near Rochester, NY with the most Data Collection job openings:
Data Collection jobs near you
Infographic showing various Data Collection job openings in Rochester, NY as of June 2026, with employment types broken down into 3% Internship, 70% Full Time, 21% Part Time, 3% Temporary, and 3% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $49,635 per year, or $23.9 per hour.
AI Engineer - Manufacturing Data

AI Engineer - Manufacturing Data

Bausch + Lomb

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Bausch & Lomb rating

8.5

Company rating: 8.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

34th of 520 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

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