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Remote Data Engineer Jobs in Newark, NY (NOW HIRING)

Paychex

Data Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required * 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

Keenfinity

Senior Data Manager

Fairport, NY · Remote

... Remote Security Manger app. Fairport, NY is the headquarters for the Radionix sales & marketing ... Product, PIM & Engineering Data: PIM, product data, engineering attributes, product lifecycle and ...

Keenfinity

Senior Data Manager

Fairport, NY · Remote

... Remote Security Manger app. ​Fairport, NY is the headquarters for the Radionix sales & marketing ... PIM, product data, engineering attributes, product lifecycle and operational data Connect product ...

Mindex

UniData Software Engineer - Remote

Rochester, NY · Remote

$70K - $120K/yr

Contributing to examining systems flow, data usage, and work processes. * Writing and performing ... AS or BS degree in Computer Science, Engineering, or related area preferred, or an equivalent ...

Mindex

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Mindex is looking for an Engineering Lead to lead the engineering team responsible for our ... Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ...

Mindex

Engineering Lead - Remote

Rochester, NY · Remote

$105K - $155K/yr

Mindex is looking for an Engineering Lead to lead the engineering team responsible for our ... Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ...

Mindex

Engineering Lead - Remote

Rochester, NY · On-site +1

$105K - $155K/yr

Mindex is looking for an Engineering Lead to lead the engineering team responsible for our ... Drive architectural decisions around APIs, web applications, data access, cloud technologies, and ...

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

Mindex

Sr. Salesforce Developer - Remote

Rochester, NY · Remote

$90K - $140K/yr

Perform data migrations and integrations with external systems using Salesforce APIs ... Salesforce Developer certification. * Experience reducing technical debt and modernizing legacy ...

Addman Engineering

Molds Engineer

Ontario, NY · On-site +1

$100K - $120K/yr

This is a remote role with travel to our Ontario, NY location. Essential Duties and ... Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Newark, NY

Remote Data Engineer information

See Newark, NY salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote data engineer in Newark, NY is $129,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Newark, NY?

The most popular types of Data Engineer jobs in Newark, NY are:

What are popular job titles related to Remote Data Engineer jobs in Newark, NY?

For Remote Data Engineer jobs in Newark, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Newark, NY look for?

The top searched job categories for Remote Data Engineer jobs in Newark, NY are:

What cities near Newark, NY are hiring for Remote Data Engineer jobs?

Cities near Newark, NY with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you

Data Engineer

Rochester, NY • On-site, Remote

Paychex
Human Resources Consulting Services • 10K+ employees
Learn more about Paychexexternal

$113K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 176 frontline employees who took The Breakroom Quiz

238th of 501 rated business services

Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a singleconnected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.
Overview
Source, extract, and manipulate large data sets to serve Business Analytics, Machine Learning and Artificial Intelligence needs of Paychex.
Responsibilities
  • Utilize existing infrastructure to assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources
  • Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities
  • Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform
  • Ensure data extraction, transformation and loading data meet data security & compliance requirements
  • Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards.
  • Create data tools for data scientist team members that assist them in building and optimizing models for use in Paychex products

    • Qualifications
    • Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required
    • 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.
    • 4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.
    • 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
    • 4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.
    • 2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing.
    • 2 years of experience in Experience delivering data solutions via Agile methodologies.
    • 4 years of experience in A successful history of manipulating, processing and extracting value from large disconnected datasets.
    • 2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.
    • 2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions.
    • 2 years of experience in Salesforce FSC, Salesforce Data Cloud.
    • Communication - Preferred
    • Problem Solving - Preferred
    • Troubleshooting (Problem Solving) - Preferred
    • Management - Preferred
    • Operations - Preferred
    • Data Engineering - Preferred
    • Python (Programming Language) - Preferred
    • SQL (Programming Language) - Preferred
    • Extract Transform Load (ETL) - Preferred
    • Data Pipelines - Preferred
    • Computer Science - Preferred
    • Apache Spark - Preferred
    • Data Warehousing - Preferred
    • Amazon Web Services - Preferred
    • Apache Hadoop - Preferred

    Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

    • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

      • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.

      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.

      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.Qualifications:
      • Bachelor's Degree in Computer Science, Data Science, Engineering or equivalent software/services experience - Required
      • 4 years of experience in Working with SQL, Snowflake, Databricks, Spark and/or other Big Data technologies.
      • 4 years of experience in Experience building and optimizing data pipelines, architectures and data sets to answer specific business questions and identify opportunities for improvement.
      • 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
      • 4 years of experience in Proficiency with languages such as Python, SQL, PySpark, R.
      • 2 years of experience in Understanding of Privacy, Compliance and security aspects of data storage & processing.
      • 2 years of experience in Experience delivering data solutions via Agile methodologies.
      • 4 years of experience in A successful history of manipulating, processing and extracting value from large disconnected datasets.
      • 2 years of experience in Proficiency for Software Development & CI/CD methodologies and tools for automated infrastructure code; ML Ops.
      • 2 years of experience in Design, implement, and maintain automation platform and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps and GitHub Actions.
      • 2 years of experience in Salesforce FSC, Salesforce Data Cloud.
      • Communication - Preferred
      • Problem Solving - Preferred
      • Troubleshooting (Problem Solving) - Preferred
      • Management - Preferred
      • Operations - Preferred
      • Data Engineering - Preferred
      • Python (Programming Language) - Preferred
      • SQL (Programming Language) - Preferred
      • Extract Transform Load (ETL) - Preferred
      • Data Pipelines - Preferred
      • Computer Science - Preferred
      • Apache Spark - Preferred
      • Data Warehousing - Preferred
      • Amazon Web Services - Preferred
      • Apache Hadoop - Preferred
      Education:UNAVAILABLEEmployment Type: FULL_TIME

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    Paychex logo

    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media

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