ZipRecruiter

Log In

1

Data Engineer Jobs in Rochester, NY (NOW HIRING)

Mindex

Data Platform Engineer - Remote

Rochester, NY · Remote

$100K - $150K/yr

Mindex is seeking a Data Platform Engineer to design, build, and optimize scalable data solutions that support analytics, reporting, and business decision-making. In this role, you'll work across ...

New

Bausch + Lomb

AI Engineer - Manufacturing Data

Rochester, NY · On-site

$113K - $135K/yr

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 ...

Constellation Brands

Senior Database Engineer

Rochester, NY · On-site +1

$113K - $177K/yr

This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a ...

Constellation Brands

Senior Database Engineer

Rochester, NY · On-site +1

$113K - $177K/yr

This role requires deep understanding of data architecture,data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Collaborate with data engineers to ensure models are implemented correctly and perform well in Snowflake * Document and justify all modeling decisions clearly for stakeholders - your rationale is as ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Collaborate with data engineers to ensure models are implemented correctly and perform well in Snowflake * Document and justify all modeling decisions clearly for stakeholders -- your rationale is as ...

Honeywell

Data Scientist II

Ontario, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Honeoye Falls, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Manchester, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Brighton, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Fairport, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Webster, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Rochester, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

East Rochester, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Spencerport, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Pittsford, NY · On-site

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will ...

Honeywell

Data Scientist II

Greece, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

Honeywell

Data Scientist II

Palmyra, NY · Hybrid

$99K - $124K/yr

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3 rd party analytical components. You will ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Rochester, NY

Data Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.2K

How much do data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data engineer in Rochester, NY is $128,045.00, 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 the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Rochester, NY? The most popular types of Data Engineer jobs in Rochester, NY are:
What are popular job titles related to Data Engineer jobs in Rochester, NY? For Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Rochester, NY look for? The top searched job categories for Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Engineer jobs? Cities near Rochester, NY with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rochester, NY as of June 2026, with employment types broken down into 92% Full Time, and 8% Nights. Highlights an 100% In-person job distribution, with an average salary of $128,045 per year, or $61.6 per hour.
Data Platform Engineer - Remote

Data Platform Engineer - Remote

Mindex

Rochester, NY • Remote

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

Job description

Mindex is seeking a Data Platform Engineer to design, build, and optimize scalable data solutions that support analytics, reporting, and business decision-making. In this role, you'll work across complex data domains to develop robust data models, build ingestion pipelines, and ensure data quality throughout the data lifecycle. You'll collaborate closely with data architects, engineers, and business stakeholders to deliver trusted, high-performing data platforms.

Compensation

$100,000 - $150,000

What You'll Accomplish
  • Design, develop, and optimize Snowflake objects, including dynamic tables, views, and schemas
  • Build and maintain DBT Core models, including models, tests, macros, sources, and lineage documentation
  • Develop and support data ingestion and replication pipelines using tools such as Informatica, Fivetran, Openflow, or similar technologies
  • Profile and analyze source data from complex, multi-domain systems to identify quality issues and inform modeling decisions
  • Write advanced SQL to investigate data, validate transformations, and support business reporting and analytics needs
  • Collaborate with data architects to implement canonical data models and ensure consistency across business domains

Requirements

  • 2+ years of experience with Snowflake, including dynamic tables, views, performance tuning, and schema design
  • 3+ years of hands-on experience with advanced SQL
  • 2+ years of experience with DBT Core, including models, tests, macros, sources, and lineage
  • Experience with data ingestion and replication tools such as Informatica, Fivetran, Openflow, or similar technologies
  • Experience working with complex, poorly documented, or multi-source datasets and identifying data quality issues
  • Proficiency in Python
  • Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent professional experience
Preferred Qualifications
  • Experience implementing dimensional, canonical, or enterprise data models
  • Experience with data lineage, metadata management, or data quality frameworks
  • Experience supporting modern analytics platforms built on Snowflake and DBT
  • Experience working with enterprise HR, payroll, financial, or customer data domains
Why Join Mindex?

For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.

Benefits

  • Fully Remote Work Environment
  • Flexible Time Off
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities
Additional Information

Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.

Physical Requirements/Conditions:

  • Prolonged periods sitting at a desk and working on a computer
  • No heavy lifting is expected. Exertion of up to 10 lbs.

Apply