1

Data Engineer Jobs in Rochester, NY (NOW HIRING)

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

MegazoneCloud Global is seeking a Data Engineer to strengthen their data-driven culture. The role involves designing and maintaining data pipelines and infrastructure on AWS, mastering the data ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

MegazoneCloud US is seeking a Data Engineer to support their data-driven culture. The role involves designing, building, and maintaining data pipelines and infrastructure on AWS, while collaborating ...

Professional, Data Engineer

Rochester, NY

$113K - $135K/yr

The Data Engineer plays a critical role in ensuring the quality, reliability, and security of data systems hosted in on premise and cloud environments. Your expertise will contribute to the success ...

Data Engineer

Rochester, NY · On-site

$40 - $45/hr

Terraform / IaC or Azure DevOps exposure. * Sailpoint or identity governance tools. * HPC or research data workflows. * Monitoring/observability tools. Skills: * Self-directed troubleshooting across ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Mindex is looking for a Data Engineer with strong SQL and data analysis instincts to join a growing data platform team. In this role, you'll build and maintain data pipelines, models, and ...

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

Mindex is looking for a Data Engineer with strong SQL and data analysis instincts to join a growing data platform team. In this role, you'll build and maintain data pipelines, models, and ...

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Mindex is looking for a Data Engineer with strong SQL and data analysis instincts to join a growing data platform team. In this role, you'll build and maintain data pipelines, models, and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Sr. Data Engineer

Rochester, NY · On-site

$104K - $142K/yr

Diverse Lynx is a company seeking a Sr. Data Engineer. The role involves working with multi-cloud environments, Kubernetes, and CI/CD pipelines, while supporting cross-cloud and on-prem ...

AI Data Engineer - Senior Consultant

Rochester, NY · Hybrid

$103K - $141K/yr

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

next page

Showing results 1-20

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 17, 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.
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:
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 Engineer

MegazoneCloud Global

Rochester, NY • On-site

$113K - $135K/yr

Full-time

Posted 8 days ago


Job description

Job Summary:
MegazoneCloud Global is seeking a Data Engineer to strengthen their data-driven culture. The role involves designing and maintaining data pipelines and infrastructure on AWS, mastering the data ecosystem, and collaborating with cross-functional teams to tackle significant projects.
Responsibilities:
• Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
• Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
• Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
• Collaborate and multiply: Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
• Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
Qualifications:
Required:
• 3-5+ years of professional data engineering experience.
• 2-3+ years of hands-on experience with Python.
• 2-3+ years of hands-on experience with SQL.
• Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
• Solid experience building and managing data solutions on AWS.
• Proven experience in data wrangling and building robust data pipelines.
• A 'builder' mindset, a startup mentality, and a genuine thirst for knowledge.
• Exceptional communication skills and the flexibility to think fast.
• A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Preferred:
• Experience with GenAI, AI/ML frameworks, and MLOps.
• Certifications in Databricks, Snowflake, or AWS.
Company:
MegazoneCloud stands as Asia's leading cloud managed service provider (MSP) and digital transformation catalyst, revolutionizing how enterprises harness cloud technology. Founded in 1998, the company is headquartered in Gwacheon-si, Gyeonggi-do, KR, , with a team of 1001-5000 employees. The company is currently Late Stage.