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Data Engineer Jobs in Rochester, NY (NOW HIRING)

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

Who We're Looking For Megazone Cloud is looking for a Data Engineer to be a backbone of our data-driven culture. You are a "builder" with a true thirst for knowledge and a startup mentality. You're ...

Data Engineer

Rochester, NY · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Geneseo, NY · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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

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 ...

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 ...

Senior Data Engineer

Rochester, NY · Remote

$104K - $142K/yr

The Senior Data Engineer is responsible for analyzing, validating, cleansing, and performing ETL of enterprise data into the firm's finance applications, as well as creating validation reports ...

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 ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

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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 Jul 9, 2026, the average yearly pay for data engineer in Rochester, NY is $128,021.00, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
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 cities near Rochester, NY are hiring for Data Engineer jobs? Cities near Rochester, NY with the most Data Engineer job openings:

Data Engineer

MegazoneCloud

Rochester, NY • On-site

$110K - $140K/yr

Full-time

Posted 18 days ago


Job description

Who We're Looking For
Megazone Cloud is looking for a Data Engineer to be a backbone of our data-driven culture. You are a "builder" with a true thirst for knowledge and a startup mentality. You're not afraid to be a "jack of all trades" and you thrive in an environment where you can think fast and see your work directly impact customers. You have a strong background in data wrangling and are an expert in Databricks or Snowflake, with deep skills in Python, SQL, and AWS.
What You'll Do
  • 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.
What You Bring (Requirements)
  • 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.
Bonus Points (Nice-to-Haves)
  • Experience with GenAI, AI/ML frameworks, and MLOps.
  • Certifications in Databricks, Snowflake, or AWS.
Why You'll Love It Here
  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.