ZipRecruiter

Log In

1

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

Calero

Senior Product Owner

Rochester, NY · On-site

Calero is seeking a Senior Data Product Owner to own and evolve their SaaS Management Platform ... data accuracy and driving business decisions through collaboration with engineers to deliver ...

Salas O'Brien

Senior Engineer- Mechanical

Rochester, NY · On-site

$95K - $135K/yr

M/E Engineering is now a Salas O'Brien company. Senior Mechanical Engineer (Hybrid) The Senior ... Our specialized experience includes design for data centers, healthcare, science and technology ...

Iberdrola

Senior Engineer - Protection & Control

Rochester, NY · On-site

$103K - $141K/yr

Senior Engineer - Protection & Control Location: Rochester, NY OR Binghamton, NY Work Type: Office ... IEC 61850 (GOOSE Data Models, Sampled Values, MMS), networking, real time digital simulators (RTDS ...

Iberdrola

Senior Engineer - Protection & Control

Rochester, NY · On-site

$103K - $141K/yr

Senior Engineer - Protection & Control Location: Rochester, NY OR Binghamton, NY Work Type: Office ... IEC 61850 (GOOSE Data Models, Sampled Values, MMS), networking, real time digital simulators (RTDS ...

Ametek

Sr Quality Engineer

Rochester, NY · On-site

$85K - $116K/yr

We are seeking a Senior Quality Engineer based in Rochester, NY to serve as the quality lead for ... Identify and mitigate process risk through PFMEAs, control plans, and data-driven process controls.

next page

Showing results 1-20

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 Jun 17, 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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

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 engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms 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, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $124,644 per year, or $59.9 per hour.
Senior Database Engineer

Senior Database Engineer

Constellation Brands, Inc.

Rochester, NY • On-site

$113K - $177K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Constellation Brands rating

8.8

Company rating: 8.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

17th of 383 rated food and drinks producers

Job description

Job Description
Position Summary:
Senior Database Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise. 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 skilled data / software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
Duties, Responsibilities & Essential Functions
  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to data engineering principles and business goals
  • Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
  • Create data products for analytics and data scientist team members to improve their productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
  • Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve the organization's productivity as a team
  • Develop and deliver communication and education plans on data engineering capabilities, standards, and processes
  • Partner with Product Analysts, Product Owners, and Solutions Architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Required Qualifications / Skills:
  • Bachelor's degree required; Computer Science, MIS, or Engineering preferred
  • 5 years of experience working in data engineering or architecture role, 7+ preferred
  • Hands-on Snowflake experience, particularly in designing and optimizing data models and pipelines with a focus on performance and cost optimization.
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  • Experience in AWS, hands-on work building and operating data pipelines using services such as S3, IAM, EC2/ECS, Lambda, or Glue
  • Experience with dbt (models, tests, documentation) is preferred
  • Expertise with an orchestration platform such as Airflow
  • Proficiency in Software Development & CI/CD
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

#LI-GT1
Location
Rochester, New York
Additional Locations
Chicago, Illinois, San Antonio, Texas
Job Type
Full time
Job Area
Information Technology
The salary range for this role is:
$113,500.00 - $177,600.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Our compensation is based on cost of labor. For remote locations or positions open to multiple locations, the pay range may reflect several US geographic markets, including the lowest geographic market minimum to the highest geographic market maximum. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but not limited to, the prevailing minimum wage for the location, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Constellation Brands, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Equal Opportunity
Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).

Apply