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Remote Data Engineer Jobs in New York (NOW HIRING)

Data Engineer

Manhattan, NY · Remote

$117K - $140K/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 Data Engineer

New York, NY · Remote

$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 ...

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 ...

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold ...

Lead Data Engineer - Tax Product Development

Manhattan, NY · On-site +1

$126K - $151K/yr

The Lead Data Engineer, Tax Product Development, works with the Data Engineering and Integration ... Ability to work well in hybrid and remote environments * Solid verbal and written communication ...

Data Engineer

New York, NY · Remote

$117K - $140K/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 ...

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 ...

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

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

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

$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 Sep 2, 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 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 New York?

The most popular types of 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Associate Data Engineer (Remote)

Crum & Forster

Morristown, NJ • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Crum & Forster (C&F) provides market leading property & casualty, accident & health, specialty and standard commercial lines insurance solutions. A true underwriting company, we have a 200-year history of helping our customers manage risk with laser-focused expertise, integrity and discipline. Our people are empowered to make decisions and problem-solve with you smartly and swiftly. Our annual gross written premium is 6.2 billion. C&F enjoys a financial strength rating of "A+" (Superior) by AM Best.

Our most valuable asset is our people. We have 3000 employees, and locations throughout the United States and India. With our employee-first focus, the Company is consistently recognized as a great place to work, earning multiple workplace and wellness awards, including the Great Place to Work® Award, Fortune 100 Best Companies to Work For, Fortune Best Workplaces for Parents, Fortune Best Workplaces for Millennials, and many others.

C&F is part of Fairfax Financial Holdings. For more information about C&F, please visit our website: www.cfins.com


We are seeking an Associate Data Engineer to support the S&S Data Science team's External Data function. You will build and maintain the pipelines that bring third-party data sources into our underwriting, claims, and business intelligence workflows, working alongside an established data engineer.

What you will do:

  • Build and maintain batch and streaming ETL/ELT pipelines that feed a cloud data warehouse
  • Develop, schedule, and monitor cloud data jobs, diagnosing failures and tuning for cost and performance
  • Write idempotent load logic that handles reprocessing and backfills without creating duplicate data
  • Integrate external data providers and APIs with authentication, error handling, and retries
  • Implement data quality checks, validation, and alerting to catch pipeline issues early
  • Manage and deploy pipelines using infrastructure-as-code and CI/CD
  • Support data migrations and service updates with minimal downtime
  • Deliver clean, analytics, model-ready datasets for data scientists and analysts

What you will bring to C&F:

  • 1-5+ years of professional experience in data engineering or a related software/data role
  • Bachelor's degree in Computer Science, Data Engineering, or a related technical field or equivalent experience
  • Strong programming skills in Python and SQL
  • Familiarity with ETL/ELT concepts and building data pipelines
  • Experience with at least one major cloud platform (AWS preferred)
  • Familiarity with REST APIs and integrating external data sources
  • Strong attention to data quality and reliability
  • Ability to communicate clearly with both technical and business audiences

Desired skills (nice to have):

  • Hands-on experience with AWS data services such as Glue, Lambda, and S3
  • Experience loading and modeling data in a cloud data warehouse (e.g. Snowflake)
  • Experience with distributed processing frameworks such as Apache Spark
  • Experience with streaming technologies such as Kafka or Kinesis
  • Experience with infrastructure-as-code (CDK, Terraform, or CloudFormation) and monitoring with CloudWatch
  • Knowledge of geospatial analysis
  • Familiarity with zero-downtime deployment patterns such as blue-green deployments
  • Interest in insurance, underwriting, or claims

#LI-MS

#LI-REMOTE


  • Competitive compensation package
  • Generous 401K employer match
  • Employee Stock Purchase plan with employer matching
  • Generous Paid Time Off
  • Excellent benefits that go beyond health, dental & vision. Our programs are focused on your whole family’s wellness, including your physical, mental and financial wellbeing
  • A core C&F tenet is supporting your career development, so we provide a wealth of ways for you to keep learning, which may include tuition reimbursement, industry-related certifications and professional training to keep you progressing on your chosen path
  • A dynamic, ambitious, fun and exciting work environment
  • We believe you do well by doing good and want to encourage a spirit of social and community responsibility, matching donation program, volunteer opportunities, and an employee-driven corporate giving program that lets you participate and support your community

At C&F you will BELONG

If you require special accommodations, please let us know. We value inclusivity and diversity. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you require special accommodations, please let us know. Belonging at C&F, is a mindset. It’s about fostering a culture of inclusion and connection, where everyone feels valued, heard, and empowered to thrive and where our social impact efforts help strengthen the communities where we live and work.

For California Residents Only:  Information collected and processed as part of your career profile and any job applications you choose to submit are subject to our privacy notices and policies, visit https://www.cfins.com/onlineprivacypolicy/ca/noticeatcollection/  for more information.

Crum & Forster is committed to ensuring a workplace free from discriminatory pay disparities and complying with applicable pay equity laws.  Salary ranges are available for all positions at this location, taking into account roles with a comparable level of responsibility and impact in the relevant labor market and these salary ranges are regularly reviewed and adjusted in accordance with prevailing market conditions. The annualized base pay for the advertised position, located in the specified area, ranges from a minimum of $71,600 to a maximum of $105,000. The actual compensation is determined by various factors, including but not limited to the market pay for the jobs at each level, the responsibilities and skills required for each job, and the employee’s contribution (performance) in that role. To be considered within market range, a salary is at or above the minimum of the range. You may also have the opportunity to participate in discretionary equity (stock) based compensation and/or performance-based variable pay programs.