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Senior Data Engineer Jobs in Rochester, NY (NOW HIRING)

MegazoneCloud

Sr. Data Engineer

Rochester, NY · On-site

$145K - $165K/yr

Who We're Looking For Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture. You are a "builder" at heart, a seasoned expert who thrives on solving ...

Pwc

Data Engineer - Senior Associate

Rochester, NY · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

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 ...

Deloitte

Project - Data Engineer II

Rochester, NY

$113K - $135K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

Ralliant

Senior Controls/Systems Engineer

Fairport, NY · On-site

$92K - $121K/yr

Role: Sr. Controls Engineer Location: Fairport, NY This is an outstanding place to work! It all ... Collaborate with the Smart Factory Data Engineer to enable secure connectivity between shop-floor ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Rochester, NY

Senior Data Engineer information

See Rochester, NY salary details

$79.9K

$124.6K

$172.7K

How much do senior data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior data engineer in Rochester, NY is $124,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $142,100.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
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 Senior Data Engineer jobs in Rochester, NY? For Senior Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer jobs in Rochester, NY look for? The top searched job categories for Senior Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Data Engineer jobs? Cities near Rochester, NY with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,644 per year, or $59.9 per hour.

Sr. Data Engineer

MegazoneCloud

Rochester, NY • On-site

$145K - $165K/yr

Full-time

Posted 8 days ago

Job description

Who We're Looking For
Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others. You have deep expertise in data architecture, data wrangling, Databricks or Snowflake, and are a master of Python, SQL, and AWS.
What You'll Do
  • Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain them.
  • Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models.
  • Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers.
  • Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery.
  • Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap.
What You Bring (Requirements)
  • 5-8+ years of professional data engineering experience.
  • Deep, expert-level proficiency with Python.
  • Deep, expert-level proficiency with SQL.
  • Hands-on, expert-level experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
  • Expert-level experience building and managing data solutions on AWS.
  • Deep expertise in designing and architecting scalable data platforms.
  • Proven ability to lead complex, ambiguous projects from conception to delivery.
  • Experience mentoring other engineers and helping to level up the team.
  • A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
  • Exceptional communication skills and the flexibility to think fast.
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.

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