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

... data engineering, platform and software engineering, and information security. The CTO is a ... The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ...

... data engineering, platform and software engineering, and information security. The CTO is a ... The company is hybrid but qualified remote applicants are encouraged to apply. ESSENTIAL DUTIES AND ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Advise student programming boards and support student-led events. * Promote involvement ... Collect, analyze, and report data on student engagement, retention, and program outcomes; use ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Showing results 21-40

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 Aug 23, 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.

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

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

Reports Developer (Power BI) - Remote

Mindex

Rochester, NY • Remote

$70K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago


Job description

Mindex is looking for a Reports Developer to help migrate our reporting environment out of Informer and into modern, scalable platforms. In this role, you'll work closely with business and technical stakeholders to rebuild and modernize existing reports — moving self-service reporting into Report Center (Prism) and more complex, custom reporting into Power BI, where it can connect directly to custom tables and objects in HRP that aren't replicated into Report Center.

You'll need to be comfortable moving between reporting tools and the underlying data platforms that feed them, translating existing Informer report logic into new formats without losing accuracy or business context along the way.

Compensation

$70,000 - $120,000

What You'll Accomplish
  • Analyze existing Informer reports to understand business logic, data sources, and intended use, then translate them into Report Center (Prism) or Power BI.
  • Build self-service reports in Report Center (Prism) that give end users flexibility without ongoing developer support.
  • Develop custom Power BI reports and data models for reporting needs that require direct access to custom tables and objects in HRP not available in Report Center.
  • Write and optimize SQL queries across source systems (Snowflake, SQL Server, Oracle) to support report development.
  • Validate migrated reports against their Informer originals to confirm data accuracy and completeness.
  • Partner with business stakeholders to clarify report requirements, prioritize the migration backlog, and manage expectations during the transition.
  • Document report logic, data lineage, and migration decisions to support long-term maintenance.
  • Identify opportunities to improve or simplify reports during migration rather than just replicating them as-is.

Requirements

  • Experience building reports or dashboards in Power BI, Sigma, or a similar BI tool.
  • Strong SQL skills across one or more of: Snowflake, Microsoft SQL Server, or Oracle.
  • Experience translating business reporting requirements into technical report designs.
  • Ability to work independently with limited initial documentation, asking the right questions to fill in gaps.
  • Comfortable managing a migration-style project with a defined backlog of existing reports to convert.

Preferred

  • Experience with SSIS or Apache Airflow for data orchestration or movement.
  • Familiarity with Report Center or Prism specifically.
  • Experience with HRP (HR/Payroll) systems or HR data models.
  • Experience integrating AI tools into report development or data workflows.
  • Background in data migration or legacy system decommissioning projects.
Why Join Mindex?

For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.

In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.

Benefits

  • Fully Remote Work Environment
  • Flexible Time Off
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities

Additional Information

Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.

Physical Requirements/Conditions

  • Prolonged periods sitting at a desk and working on a computer.
  • No heavy lifting is expected. Exertion of up to 10 lbs.