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Remote Data Engineering Jobs in Rochester, NY (NOW HIRING)

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required * 7 years of experience in data engineering, software engineering, systems integration, or a related ...

Data Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required * 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or ...

... Remote Security Manger app. Fairport, NY is the headquarters for the Radionix sales & marketing ... Product, PIM & Engineering Data: PIM, product data, engineering attributes, product lifecycle and ...

... Remote Security Manger app. ​Fairport, NY is the headquarters for the Radionix sales & marketing ... PIM, product data, engineering attributes, product lifecycle and operational data Connect product ...

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Mindex is looking for an Engineering Lead to lead the engineering team responsible for our ... Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ...

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Mindex is looking for an Engineering Lead to lead the engineering team responsible for our ... Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ...

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

Mindex is looking for an Engineering Lead to lead the engineering team responsible for our ... Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ...

... data engineering, platform and software engineering, and information security. The CTO is a ... The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ...

... data engineering, platform and software engineering, and information security. The CTO is a ... The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ...

Contributing to examining systems flow, data usage, and work processes. * Writing and performing ... AS or BS degree in Computer Science, Engineering, or related area preferred, or an equivalent ...

Contributing to examining systems flow, data usage, and work processes. * Writing and performing ... AS or BS degree in Computer Science, Engineering, or related area preferred, or an equivalent ...

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Remote Data Engineering information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do remote data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineering in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Rochester, NY?

The most popular types of Data Engineering jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Data Engineering jobs?

Cities near Rochester, NY with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,987 per year, or $61.5 per hour.

Data Engineering and Analytics Manager

Corning

Fairport, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Corning rating

8.3

Company rating: 8.3 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

65th of 546 rated manufacturers


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.


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