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Remote Data Engineer Jobs in Spring Valley, NY (NOW HIRING)

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 ...

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

  • Retirement

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 · Remote

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

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 ...

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

  • Medical

  • Retirement

  • PTO

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.

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Relevant certification &/or work experience in data engineering * BA/BS degree with 6+ years ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp ...

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

This role will be remote without any travel required. The ideal candidate will be available during ... Data engineering certification (MS Certified Data Engineer) is a plus * Advanced working SQL ...

Growth Engineer (Remote)

New York, NY · Remote

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Showing results 21-40

Remote Data Engineer information

See Spring Valley, NY salary details

$45.1K

$131.4K

$179.9K

How much do remote data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data engineer in Spring Valley, NY is $131,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $139,300.00 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.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Engineer job openings in Spring Valley, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,444 per year, or $63.2 per hour.

Lead Data Engineer

The Cypress Group

New York, NY • Remote

$200K - $250K/yr

Full-time

Re-posted 15 days ago


Job description

Tech Lead – Data Platform | Remote

A fast-growing financial technology company is seeking a Tech Lead, Data Platform to design and build the core data infrastructure that powers advanced financial analytics and reporting. This platform enables executives, investors, analysts, and internal stakeholders to make critical business and investment decisions based on trusted, high-quality data.

As a technical leader, you will define the architecture of the data platform, partner with Product and Engineering leadership, and lead the implementation of scalable, cloud-native data solutions. You'll work closely with software engineers, data scientists, quantitative analysts, and business stakeholders to build highly reliable systems focused on performance, transparency, observability, and data integrity.

Responsibilities

  • Design and architect scalable data platform solutions using AWS and modern open-source data technologies.
  • Develop and maintain robust ETL/ELT pipelines using Python, Airflow, DBT, and Airbyte.
  • Build high-performance analytics and data processing services, including applications developed in Rust (or willingness to learn Rust).
  • Design solutions to ingest, transform, and manage large volumes of structured and unstructured financial data.
  • Implement best practices around data governance, data quality, data lineage, access controls, auditing, and observability.
  • Partner with Product Management to define technical requirements and implementation strategies.
  • Lead architectural discussions and mentor engineers across the organization.
  • Drive engineering best practices related to testing, deployment, monitoring, and software quality.

Required Qualifications

  • 5+ years of software engineering experience with strong computer science fundamentals.
  • Strong programming experience with Python.
  • Experience building cloud-native applications on AWS.
  • Hands-on experience with Airflow, DBT, Airbyte, and Pandas.
  • Experience designing scalable distributed data platforms and modern ETL/ELT architectures.
  • Strong understanding of data modeling, data governance, and analytics infrastructure.
  • Experience delivering production software from design through deployment in a fast-paced engineering environment.
  • Excellent system design, communication, and technical leadership skills.

Preferred Qualifications

  • Experience with Rust, or a strong interest in learning it.
  • Background in financial services, fintech, investment platforms, or quantitative analytics.
  • Experience working with large-scale financial datasets.
  • Prior experience leading engineering initiatives or mentoring development teams.

This is an excellent opportunity for a senior engineer who enjoys solving complex data engineering challenges, influencing technical strategy, and building mission-critical platforms that power modern financial analytics.