Pay
Lower than most similar jobs
$127K–$174K against $154K–$226K, the middle half of what similar US postings state.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Data Engineering and Analytics Manager
Reads like a Data Leadership role: running a data team.
Corning, NY, US, 14831
Live, first seen by us 78 days ago- Pay
$126,898–174,486/yearAnnual period assumed — pay source
This position does not support immigration sponsorship. The range for this position is $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. A job that shapes a life.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
This position does not support immigration sponsorship
What you’ll work on
Full postingManage and enhance the division's data engineering environment, including Databricks
Build and maintain curated, reusable data assets for reporting and dashboards
Lead, coach, and develop data engineering staff
Drive data governance, quality, lineage and controls with business teams
Build the data foundation for future advanced analytics, data science and AI
From the employer’s posting
Lead the day-to-day management, support, and enhancement of the division’s data engineering environment, including Databricks and related data platform capabilities.
Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.
Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.
Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.
Help build the data foundation required to support future advanced analytics, data science, and AI use cases.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
- 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
- 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
- Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
- Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
- Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
Preferred experience
- Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
- Experience with cloud data ecosystems such as Azure, AWS, or GCP.
- Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
- Experience supporting enterprise-scale reporting and dashboard environments.
Qualification wording
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
Experience with cloud data ecosystems such as Azure, AWS, or GCP.
Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
Experience supporting enterprise-scale reporting and dashboard environments.
Education & alternatives
Required Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field. - 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202678 days ago
- Recorded sightings
- 682
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 78
Up longer than most. Similar jobs usually come down between day 8 and day 57.
At Corning, jobs usually come down by about day 42.
From 9,462 similar postings that came down, and 85 of Corning’s. Coming down is not always a hire.
Corning is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- GCP
Where the posting names them
- Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models. - Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar. - Experience working with BI, reporting, or analytics teams to support trusted data consumption.
- Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments. - Experience with cloud data ecosystems such as Azure, AWS, or GCP. - Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division’s data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases. This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use. The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities.
Data Engineering and Platform Leadership - Lead the day-to-day management, support, and enhancement of the division’s data engineering environment, including Databricks and related data platform capabilities. Analytics Enablement
- 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment. - Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies. - Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
Your next step
Complete your application on corningjobs.corning.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
About Corning
- People
- About 14,968 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as GLW.
- H-1B visas
- 11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Requisition Number: 77751
The company built on breakthroughs.
Join us.
Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.
How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.
Come break through with us.
The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs. Consequently, this segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.
Scope of the Role
The Division Data Engineering and Analytics Manager is responsible for leading the design, delivery, and ongoing improvement of the division’s data engineering and analytics foundation. This role will oversee the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets that enable trusted reporting, analytics, and future advanced analytics use cases.
This leader will play a critical role in stabilizing and maturing the current data engineering and Databricks environment, establishing delivery standards, and strengthening the data foundation needed to support business insights and decision-making. The role will also help shape and enable broader analytics capabilities by partnering with business, functional, and technology teams to ensure data is reliable, governed, and fit for use.
The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports analytics, business performance, and future advanced analytics opportunities.
This role reports to the Senior Manager, Division Data & Analytics (Division Data Office) and works closely with business stakeholders, functional partners, enterprise IT, analytics teams, and data governance partners.
Key Responsibilities
Data Engineering and Platform Leadership
- Lead the day-to-day management, support, and enhancement of the division’s data engineering environment, including Databricks and related data platform capabilities.
Analytics Enablement
- Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.
Team Leadership and Delivery Management
- Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.
Data Quality, Governance, and Controls
- Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.
Future-State Analytics and Advanced Analytics Enablement
- Help build the data foundation required to support future advanced analytics, data science, and AI use cases.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
- 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
- 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
- Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
- Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
- Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
- Experience working with BI, reporting, or analytics teams to support trusted data consumption.
- Strong understanding of data quality, governance, controls, and metadata/lineage concepts.
- Demonstrated ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.
Preferred Qualifications
- Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
- Experience with cloud data ecosystems such as Azure, AWS, or GCP.
- Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
- Experience supporting enterprise-scale reporting and dashboard environments.
- Experience implementing or supporting data governance practices and operating models.
- Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.
This position does not support immigration sponsorship.
The range for this position is $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.
A job that shapes a life.
Corning offers you the total package.
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one.
- Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win.
- As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service.
- Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family.
- Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions.
We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
This position does not support immigration sponsorship. The range for this position is $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. A job that shapes a life.
- Location & working pattern
Corning, NY, US, 14831
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines. This position does not support immigration sponsorship. The range for this position is $126,898.00 - $174,486.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.