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

... Senior Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business ...

Senior Software Engineer

Rochester, NY · On-site

$180K - $200K/yr

We are seeking a Senior Software Engineer to act as an architectural partner to the SVP of ... Data: PostgreSQL (RDS), Entity Framework, Event-Driven Patterns * Observability: Structured Logging ...

Senior Electrical Engineer

Rochester, NY · On-site

$130K - $150K/yr

High Speed Data Acquisition About the Opportunity Join Vitrek as a Senior Electrical Engineer and play a key role in shaping the next generation of precision instrumentation. Based in our Albany, NY ...

Senior Electrical Engineer

Rochester, NY · On-site

$130K - $150K/yr

High Speed Data Acquisition About the Opportunity Join Vitrek as a Senior Electrical Engineer and play a key role in shaping the next generation of precision instrumentation. Based in our Albany, NY ...

Senior Electrical Engineer

Rochester, NY · On-site

$130K - $150K/yr

High Speed Data Acquisition About the Opportunity Join Vitrek as a Senior Electrical Engineer and play a key role in shaping the next generation of precision instrumentation. Based in our Albany, NY ...

Senior Product Owner

Rochester, NY · On-site

$80K - $93K/yr

About the Role We are seeking a Senior Data Product Owner to own and evolve Calero's SaaS ... data driven scenarios, synthesizing feedback, and collaborating with engineers to deliver solutions ...

Showing results 21-40

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 Sep 11, 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 is a senior data engineer?

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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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:

Infographic showing various Senior Data Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $124,644 per year, or $59.9 per hour.

Applied AI Health Data Architect-Senior Manager

Rochester, NY • On-site

Pwc
Finance and Insurance • 10K+ employees

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz


Job description

Industry/Sector

Health Services

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
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 implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team, you will design and implement thorough data architecture strategies that enhance healthcare operations. As a Senior Manager, you will influence key stakeholders, making sure that innovative data solutions meet the evolving needs of health systems while developing productive teams committed to excellence.
Responsibilities
- Design and execute strategic data architecture strategies for healthcare
- Influence and engage key stakeholders to align on innovative data solutions
- Develop and mentor dynamic teams focused on operational excellence
- Analyze and address evolving needs within health systems through data insights
- Lead initiatives that enhance healthcare operations through impactful data management
- Foster an environment of collaboration and open communication among teams
- Uphold compliance with industry regulations and standards in data practices
- Drive strategic improvements in data architecture to support organizational goals
What You Must Have
- Bachelor's Degree
- At least 8 years of experience
What Sets You Apart
- Hands-on experience with EMR back-end databases preferred
- Familiarity with HL7 v2, FHIR R4, and interoperability standards
- Proven track record architecting data solutions for healthcare programs
- Navigating HIPAA compliance and PHI data handling requirements
- Bridging clinical, operational, and technical conversations
- Experience with healthcare-specific integration engines and middleware
- Applying Gen AI techniques to healthcare use cases
- Proficiency in Python or SQL for data transformation
- Understanding of how data architecture supports quality reporting

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

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Benefits

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Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK