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

Staff Data Engineer

Manhattan, NY · On-site +1

$126.20K - $151.60K/yr

As, Staff Data Engineer, you will be hands‐on with PostgreSQL, Redshift, Kubernetes, and other ... Ability to work effectively in a remote-first environment, ensuring high-quality virtual ...

LiteBridge connects talented data engineers with global opportunities by training them in Palantir ... Flexible, remote work environment. * Placement with international clients upon certification.

Data Engineer

New York, NY · On-site +1

$125.30K - $150.40K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

EDI Data Engineer (Healthcare Domain)

New York, NY · Remote

$117.20K - $140.70K/yr

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 ...

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 Co-Op

New York, NY · On-site +1

$30 - $35/hr

We are offering US-Remote co-op positions in fall 2026 in the field of data engineering. How we LEAD: Data Engineering: As a member of the team, you'll handle evolving, scaling, and productionizing ...

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 ...

Senior Data Engineer

New York, NY · On-site +1

$116K - $157.50K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

Data Engineer

Manhattan, NY · On-site +1

$126.20K - $151.60K/yr

We are seeking a highly skilled Senior Data Engineer - DBX Platform (ML & Feature Engineering Focus) with a strong software engineering background to join our AI/ML Engineering GSI IT Team. In this ...

Data Engineer

New York, NY · On-site +1

$125.30K - $150.40K/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 · On-site +1

$241K - $338K/yr

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to ...

New

Data Engineer

New York, NY · On-site +1

$125.30K - $150.40K/yr

POSITION SUMMARY The Data Engineer will be responsible for designing, building, and supporting ... Flex remote work time * Flex Summer Fridays * Employee engagement programs * Volunteer time off

Senior Data Engineer

New York, NY · On-site +1

$200K - $250K/yr

We are seeking a talented Senior Data Engineer to join StubHub's Data team. In this role you will ... Hybrid (3 days in office/2 days remote) - New York, NY or Century City , CA What You'll Do: * Build ...

Be Seen First

Senior Data Engineer

New York, NY · Remote

$115K - $130K/yr

Must be US Citizen or GC holder we will not sponsor or work with any third parties. 100% Remote ... The Data Engineer III will play a pivotal role in designing, developing, and maintaining the data ...

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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 May 29, 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 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 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 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 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 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:
Staff Data Engineer

Staff Data Engineer

Bamboo Health, Inc.

Manhattan, NY • On-site, Remote

$126.20K - $151.60K/yr

Full-time

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.


Job description

Bamboo Health is the leader in Real-Time Care Intelligence solutions aimed at improving lives for everyone experiencing physical and behavioral health challenges. We are driven by our mission to empower clients to deliver seamless, high-quality and cost-effective care during pivotal moments to improve health outcomes. From coast to coast, Bamboo Health partners with all major retail pharmacy chains, 52 states and territories, 100% of the top 10 best hospitals and more than half of the country's largest health plans to improve more than 1 billion patient encounters annually.

Join us in improving lives during pivotal care moments! Summary The Staff Data Engineer role is part of the Bamboo Health Engineering Team. You would serve as a lead engineer responsible for building and supporting Data Warehousing and reporting functions.

As, Staff Data Engineer, you will be hands‐on with PostgreSQL, Redshift, Kubernetes, and other AWS technologies. You will be working within a team that builds, designs, and supports cloud based ETL, containerized solutions and data warehouses that enable data reporting, analytics, and data science. Our team continuously seeks opportunities to automate, apply new AWS products and features, and strive for technological modernization.

You will partner with other Engineering team members, Architects, Data Scientists, Analysts, and other Bamboo Health professionals. What You'll Do Develop, debug and support ETL processes utilizing AWS services Lead ideation and development of data models used for data science and analytics Meet the delivery expectations of the Agile Project Management methodology Maintain and optimize reports and extracts that serve as lifesaving information sources to customers Create clear and concise documentation regarding technical solutions, while sharing knowledge and documentation with teammates via "Lunch and Learns" Collaborate with internal and external customers to deliver modern data products Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing). Identify repetitive tasks and partner with team leads to implement scalable automation solutions.

What Success Looks Like In 3 months Become familiar with the architecture and processes of Bamboo Health services, especially Data Warehouses and reporting products. Understand the roadmap of Data Engineering projects and how your efforts contribute. Ship code to contribute fixes and improvements to our data pipelines.

Participate in troubleshooting and hotfix of ETL and reporting issues/outages. Identify at least one opportunity in your role to pilot or apply AI or automation (e.g., streamlining a task, summarizing data, generating content) In 6 months Optimize our Kubernetes deployments and other operational processes with emphasis on ETL and reporting. Develop complex queries, automation through AWS infrastructure and analytics workflows.

Understand the security strategies, grant, and remove access to Data Engineering systems and reports, and follow AWS Infrastructure access patterns needed for new deployments. Mentor others and help shape the analytics roadmap for scalability, innovation and best practices. In 12 months Represent Data Engineering in new ETL and data reporting discussions providing technical solution recommendations within project roadmaps.

Contribute novel coding patterns and capabilities from emerging API's and SDK's. What You Need Bachelor's degree in computer science, Analytics, a related field, or equivalent experience 8+ years total software and relational database development experience 3+ years with a strong demonstrated ability to develop and maintain ETL solutions, ideally using Python and various Application Programming Interfaces (API) 3+ years' experience with AWS Cloud Solutions/Services Experience working in an Agile environment include using ticketing software such as JIRA Strong technical problem-solving abilities Hands on experience maintaining databases on Redshift, PostgreSQL, MySQL or Oracle relational database systems. Experience with software development using Python, Ruby, or other modern scripting languages, ideally in container solutions such as Docker or Kubernetes.

Proficiency with modern data stack tools such as dbt, Starburst, AWS Glue. Healthcare experience is a plus, but not mandatory. Comfort using or learning AI-supported tools (e.g., ChatGPT, CoPilot, or role-specific tools) to improve daily workflows.

A forward-thinking, curious mindset with an openness to experimenting with new technologies. Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions. Proven ability to thrive in fast-paced, high-growth, and rapidly evolving environments.

Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions. The ability to travel periodically for work. What You Get Join one of the fastest growing health IT companies in the country Have the autonomy to build something with an enthusiastically supportive team Learn from working at the highest levels and on the most strategic priorities of the company, including from world class investors and advisors Receive competitive compensation, including health, dental, vision and other benefits Belonging at Bamboo We Care.

#BambooHealthValuesCare Every human being has the right to the best possible healthcare. Our Real-Time Care Intelligence solutions enable healthcare professionals to see and treat every individual as a whole person by providing the right information, at the right time - regardless of physical, behavioral or social barriers. We're a great place to work because we care.

We continually seek to learn about our differences and ensure the unique perspectives and contributions of all employees are welcome, valued and celebrated. Our commitment to making a positive impact starts by recognizing and leveraging our differences, building inclusive teams and cultivating a sense of belonging. Bamboo Health is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Bamboo Health GDPR/RODO To protect our applicants from fraudulent recruitment activity, we recommend that all applicants verify the validity of an interview and hiring process by visiting our website www.bamboohealth.com. All valid job postings will be listed on our careers page.

Bamboo Health does not conduct interviews via text and will not request sensitive information such as banking details during the application process. #LI-Remote #J-18808-Ljbffr