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Remote Data Engineer Jobs in New York (NOW HIRING)

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment ...

Lead Data Engineer

Manhattan, NY · Remote

$220K - $260K/yr

The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply ... This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ...

Senior Big Data Engineer

New York, NY · On-site +1

$170K - $180K/yr

Senior Big Data Engineer New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) U.S ... Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ...

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

Tech Lead - Data Platform | Remote A fast-growing financial technology company is seeking a Tech ... You'll work closely with software engineers, data scientists, quantitative analysts, and business ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

You will work with both structured and unstructured data, ensuring high data quality and availability for complex analysis by data scientists, engineers, and other stakeholders. Who we are looking ...

Data Engineer

New York, NY · Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We ...

GCP Data Engineer

New York, NY · Remote

$117K - $140K/yr

This is going to act as a tech lead/principal engineer within the Rebate Data Warehouse team. Why is req open? * Backfill for someone who had left - this has been a gap for a few months now * Help ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

The incumbent will work closely with data professionals, analysts, and engineers to build and ... Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or ...

New

Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team.

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

Showing results 41-60

Remote Data Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
What are the most commonly searched types of Data Engineer jobs in New York? The most popular types of Data Engineer jobs in New York are:
What are popular job titles related to Remote Data Engineer jobs in New York? For Remote Data Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in New York look for? The top searched job categories for Remote Data Engineer jobs in New York are:
What cities in New York are hiring for Remote Data Engineer jobs? Cities in New York with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

EDI Data Engineer (Healthcare Domain)

Saransh Inc

New York, NY • Remote

$117K - $140K/yr

Contractor

Re-posted yesterday


Job description

Role: EDI Data Engineer – Healthcare Domain
Location: NYC, NY & Canada (Remote)
Job Type: Contract
 
Note: Need minimum 10+ years experience and recent lead expertise  
 
 
 
Summary:
  • The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence.
  • This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment
 
 
 
Minimum Qualifications:
  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience
 
Responsibilities:
  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Optimize data systems for analytics and reporting
  • Ensure data quality and system reliability in production environments