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Remote Sql Data Engineer Jobs in Spring Valley, NY

Empassion

Senior Data Engineer (NYC Hybrid)

New York, NY · Remote

$120K - $160K/yr

Strong SQL skills for querying large, complex datasets. * Proficiency in Python for data ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

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Senior Staff Data Engineer - Python / GCP

Stamford, CT · Remote

$140K - $170K/yr

Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead ... Technical Stack: Advanced Python (FastAPI, Pydantic, SQLAlchemy) and SQL mastery for building ...

Verse Medical

Staff Data Engineer

New York, NY · Remote

$200K - $240K/yr

Staff Data Engineer We're hiring a Staff Data Engineer to own the data platform layer at Verse ... Expert SQL, dbt, and Python skills, with experience building complex, high-performance queries and ...

Verse Medical

Senior Data Engineer

New York, NY · Remote

$150K - $200K/yr

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of ... Strong SQL and Python skills, with experience building complex, high-performance queries. * Deep ...

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... and SQL, SAS, and/or SPSS * 3+ years of Technical experience in Software Development, Machine ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

KPMG LLP

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 ...

Soda Data

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.

Regard

Senior Data Engineer

New York, NY · Remote

$165K - $220K/yr

Strong proficiency in Python and SQL * Hands-on experience across the full data stack, with ... We expect our Engineers to be in the office on Tuesdays and Thursdays. We also require more ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function ... Strong SQL and data analysis skills, ideally with BigQuery * Bachelor's degree in Computer Science ...

1 point system

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating ... Proficiency in SQL for data validation and reconciliation. * Experience with test automation ...

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $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 GTM Engineer to build the machinery that gets that message to the people who need it.

Soda Data

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $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 GTM Engineer to build the machinery that gets that message to the people who need it.

Soda Data

Growth Engineer (Remote)

New York, NY · Remote

$120K - $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 GTM Engineer to build the machinery that gets that message to the people who need it.

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Showing results 41-60

All JobsSql Data Engineer JobsRemote Sql Data Engineer JobsRemote Sql Data Engineer Jobs in Spring Valley, NY

Remote Sql Data Engineer information

See Spring Valley, NY salary details

$45.1K

$131.4K

$179.9K

How much do remote sql data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote sql 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 SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

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

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

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

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

Remote Sql Data Engineer jobs near you

Senior Data Engineer (NYC Hybrid)

Empassion

New York, NY • Remote

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 25 days ago

Job description

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.
What success looks like
  • Partner with teams across the business and external partners to understand data needs and deliver reliable pipelines and models that solve real problems.
  • Build and maintain scalable ingestion and egress pipelines in Airflow and dbt Cloud, ensuring high quality, automated data flows across cloud environments.
  • Implement unit tests and monitoring to guarantee data integrity and reproducibility.
  • Model and transform and structure healthcare datasets into usable formats that power data science models, and other reporting marts
  • Enhance and scale data models with SQL and dbt, ensuring precision and adaptability for new partnerships.
  • Write Python code for Apache Airflow DAGs, components and utilities that orchestrate and monitor data workflows. Build complex pipelines that enable flexible scheduling, conditional logic, and smooth integration across multiple data sources.
What you will bring
  • 2+ years in data engineering or analytics engineering with proven ability to build pipelines and scalable workflows.
  • Strong SQL skills for querying large, complex datasets.
  • Proficiency in Python for data engineering tasks (transformations, APIs, automation).
  • Experience with cloud data warehouses and storage (GCP preferred: BigQuery, Cloud Storage, Composer; AWS/Azure equivalents acceptable).
  • Hands on experience with dbt or similar data modeling tools.
  • Comfort working in collaborative dev/staging/prod environments, partnering with Product and Tech to safely test, launch, and anticipate the impact of new changes.
  • Curiosity about operational workflows and a drive to partner with non-technical teams, ensuring data and reporting align with how the business actually runs. You're not just a spec-taker, you're part of the solution.
  • A proactive, problem-solving mindset and ability to thrive in fast-paced, iterative environments.
  • Strong communication skills to collaborate with analysts, engineers, and business stakeholders.
 
Nice to have:
  • Knowledge of healthcare data (claims, ADT feeds, eligibility files).
  • Familiarity with Git/GitHub for version control.
  • Early-stage startup experience (seed/Series A), especially mission-driven ones.
  • Experience building semantic layers and data models in Looker (LookML).
The compensation range represents total earnings, including both base salary and target bonus. In addition to competitive base salary and bonus opportunities, we offer equity grants for qualifying roles, comprehensive medical, dental, and vision coverage, and a 401(k) retirement plan to support your long-term financial well-being.
 
Empassions' philosophy is to provide competitive compensation that aligns with our mission, business, and employee needs while remaining financially responsible and applying it fairly, equitably, consistently, and transparently. We are a tech-enabled remote healthcare company. We value the impact and significance of all team functions and roles equally, regardless of where you live. 
We plan to update our approach, data, and practices to ensure that we align with the market at year-end 2025. 
 
This strategy ensures that our employees are paid fairly in the market for their skills, experience, and performance. We use current data to draft compensation numbers and will update the data yearly. Performance is a highly valued and meaningful driver of employee compensation within Empassion's market position. Our performance-enhanced compensation philosophy rewards employees who consistently meet and exceed performance expectations through bonus incentives at all levels.
 
We pay through consistent and compliant practices.
We have team-oriented goals and recognize performance against those goals through compensation.
Everyone is an owner and is expected to add value and contribute; when Empassion wins, we all win.
We are designed to be fair and equitable and conduct a pay equity audit annually to ensure fair and equitable compensation level by level, job family by job family.
Ready to Make a Difference?
 
If you’re driven by data, healthcare, and impact, apply and let’s talk!
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.