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

Honeywell is looking for a data driven professional to join its Data Science engineering team to ... As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing ...

Honeywell is looking for a data driven professional to join its Data Science engineering team to ... As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing ...

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

... 2+ years professional AWS experience * At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred) * Python for data pipelines (Glue ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

... 2+ years professional AWS experience * At least one AWS Professional-level certification (Solutions Architect Professional or Data Engineer Specialty preferred) * Python for data pipelines (Glue ...

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient ... Level II (in addition to Level I accountabilities): * Contributes to the AI/ML model lifecycle ...

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient ... Level II (in addition to Level I accountabilities): * Contributes to the AI/ML model lifecycle ...

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient ... Level II (in addition to Level I accountabilities): * Contributes to the AI/ML model lifecycle ...

Medical Device Engineer I

Rochester, NY · On-site

$65K - $100K/yr

The Medical Device Engineer II supports the design and development of contact lenses within Bausch ... Perform statistical analysis of processing data during product development that help project team ...

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Data Engineer Ii information

See Rochester, NY salary details

$43.9K

$128K

$175.2K

How much do data engineer ii jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data engineer ii 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.

What engineers make 300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and certifications can earn salaries of $300,000 or more annually. These roles often require expertise in distributed systems, data architecture, and leadership responsibilities, typically found in large organizations or tech companies. Compensation varies based on location, company size, and individual expertise.

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

To thrive as a Data Engineer II, you need strong skills in data modeling, ETL development, SQL, and programming languages like Python or Java, often supported by a bachelor’s degree in computer science or a related field. Familiarity with data warehousing solutions (such as AWS Redshift or Google BigQuery), cloud platforms, and tools like Apache Spark or Airflow, as well as relevant certifications, is highly beneficial. Excellent problem-solving, collaboration, and communication skills help you work effectively with both technical and non-technical teams. These competencies are crucial to ensure the efficient design, development, and maintenance of scalable, reliable data infrastructure that supports business decision-making.

What engineer makes 500,000 a year?

Highly experienced data engineers working in large tech companies, finance, or specialized consulting roles can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such compensation typically requires advanced skills in big data tools, cloud platforms, and extensive industry experience.

What are Data Engineer II roles and responsibilities?

A Data Engineer II is responsible for designing, building, and maintaining data pipelines and architectures to support analytics and business intelligence. They typically work with large datasets, ensuring data is collected, stored, and processed efficiently and securely. The role often involves optimizing data flow, writing complex queries, integrating data from multiple sources, and collaborating with data scientists and analysts. As a mid-level position, Data Engineer II professionals may also mentor junior engineers and contribute to the development of best practices in data engineering.

What is a data engineer II?

A Data Engineer II is a mid-level data professional responsible for designing, building, and maintaining data pipelines and infrastructure. They typically have experience with SQL, programming languages like Python or Java, and tools such as Hadoop or Spark, working to ensure data is accessible and reliable for analysis and decision-making.

What are some typical challenges faced by a Data Engineer II when transitioning from individual contributor to collaborating in cross-functional teams?

As a Data Engineer II, you will often shift from working primarily on independent tasks to collaborating closely with data scientists, analysts, and software engineers. A common challenge is ensuring that data pipelines and infrastructure meet the varying needs of different stakeholders, often requiring clear communication and compromise. You'll also need to balance maintaining data integrity with building scalable solutions under tight deadlines. Developing strong collaboration skills and being proactive in understanding team goals will help you succeed in this environment.

What is the difference between Data Engineer Ii vs Data Engineer I?

AspectData Engineer IData Engineer II
ExperienceEntry-level, 0-2 yearsMid-level, 2-4 years
CertificationsBasic data or cloud certifications often preferredAdvanced certifications like AWS, GCP, or Azure data certifications
ResponsibilitiesAssist in data pipeline development, basic data modelingDesign and optimize data pipelines, handle complex data projects
Work EnvironmentSupportive team, supervised tasksIndependent problem-solving, project ownership

In summary, Data Engineer I is an entry-level role focusing on basic data tasks, while Data Engineer II involves more complex responsibilities and greater independence, often requiring additional certifications and experience.

How much do Level 2 data engineers make?

Level 2 data engineers typically earn between $80,000 and $110,000 annually, depending on experience, location, and industry. They often have 2-4 years of experience and proficiency with tools like SQL, Python, and cloud platforms such as AWS or Azure.
What are popular job titles related to Data Engineer Ii jobs in Rochester, NY? For Data Engineer Ii jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Engineer Ii jobs in Rochester, NY look for? The top searched job categories for Data Engineer Ii jobs in Rochester, NY are:
Infographic showing various Data Engineer Ii job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,021 per year, or $61.5 per hour.
Data Scientist II

Data Scientist II

Honeywell

Pittsford, NY • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 182 frontline employees who took The Breakroom Quiz

67th of 527 rated manufacturers


Job description

Honeywell is looking for a data driven professional to join its Data Science engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy state-of-the-art AI-ML models and data mining techniques that leverage physical access control system datasets to unlock new security insights for end-user customers.

Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging state-of-the-art data mining, generative AI, and ML techniques to drive decision making?  As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes.  These analytical systems you develop in-house and 

You will report directly to our Director of Engineering, and you'll work out of our Pittsford, NY location on a Hybrid work schedule.

As a Data Scientist II here at Honeywell, you will be responsible for developing and implementing advanced data analytics models and algorithms to solve complex business problems. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. Your role will involve leveraging machine learning, statistical modeling, and data analysis techniques to provide actionable insights that drive business value.

In this role, you will impact the business by optimizing processes, reducing costs, and identifying growth opportunities through data-driven insights. Your contributions will help position Honeywell at the forefront of data-driven innovation, leveraging cutting-edge technologies and advanced analytics to propel the business forward.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

YOU MUST HAVE

  • BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
  • 2+ years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
  • Some experience with exploratory data analysis
  • Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files
  • Basic experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
  • 2+ years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C++, or C#
  • Comfortable in Windows and Linux environments

WE VALUE

  • Some exposure to building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
  • Basic understanding of various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
  • Basic understanding of building predictive and decision-making AI applications.
  • Some exposure to using cloud services from AWS, Azure, or GCP to develop solutions.
  • Awareness of computer vision and image/video analysis, including object detection, recognition, tracking, and identification
  • Some exposure with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
  • Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
  • Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
  • Continuous learning mindset

ABOUT HONEYWELL


Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state of the art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more (https://www.honeywell.com/us/en)

BENEFITS OF WORKING FOR HONEYWELL

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more (https://benefits.honeywell.com/)

The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posted: July 1, 2026

THE BUSINESS UNIT


Honeywell Building Automation (BA) is a leading global provider of products, software, solutions, and technologies that enable building owners and occupants to ensure their facilities are safe, energy efficient, sustainable, and productive. BA products and services include advanced software applications for building control and optimization; sensors, switches, control systems, and instruments for energy management; access control; video surveillance; fire products; and installation, maintenance, and upgrades of systems. Revenues in 2022 for BA were $6B and there are approximately 18,000 employees globally. To learn more, please visit https://buildings.honeywell.com/

U.S. PERSON REQUIREMENTS

Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.

KEY RESPONSIBILITIES

  • Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
  • Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
  • Design, prototyping, and implementation of new data-centric solutions
  • Effectively communicate and collaborate with local teams, international teams, and 3rd parties
  • Contribute to build versus buy decisions
  • Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
  • Self-starter that can take minimal direction and deliver results
  • Curious problem solver

What Honeywell employees say

Pay

Benefits

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Honeywell logo

About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906