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Remote Data Engineering Jobs (NOW HIRING)

AI Data Engineer

$170K - $180K/yr

This is a remote Data Engineering role focused on building and maintaining scalable pipelines that ingest, clean, and structure large, complex healthcare datasets. What You'll Do * Work with Data ...

Data Engineering Manager

Pasadena, CA · On-site +1

$172.80K - $206.10K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity. How you ...

Data Engineering Manager

$117.20K - $140.70K/yr

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

Data Engineering Manager

OR · On-site +1

$114.40K - $137.40K/yr

As a Data Engineering Manager , you will design and maintain large-scale data pipelines, define ... This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one ...

Our remote work environment blends the demands of work and life without the added pressure of ... The Manager, Data Engineering, is responsible for turning data architecture vision into reliable ...

Data Engineering Manager

$190K - $210K/yr

This role is fully remote within the US** What You'll Do * Lead, coach, and develop a team of analytics engineers and/or data engineers with a focus on technical excellence, delivery velocity, and ...

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

$116.10K - $153.10K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

DATA ENGINEERING DIRECTOR Remote (U.S.-based) | Full-Time | $130K-$140K Join Courier Newsroom - an organization that drives journalism and empowers communities. AtCourier Newsroom, we're reinventing ...

Position is currently remote but may work at or visit a facility based on business need. This position is within FirstEnergy Service Company, a subsidiary of FirstEnergy Corp. The Data Engineering ...

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110.10K - $132.20K/yr

Data Engineer Location: Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data ...

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Remote Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

More about Remote Data Engineering jobs
What cities are hiring for Remote Data Engineering jobs? Cities with the most Remote Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Remote Data Engineering jobs? States with the most job openings for Remote Data Engineering jobs include:
Infographic showing various Remote Data Engineering job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Remote Data Engineer I

$111.90K - $134.30K/yr

Full-time

Posted 2 days ago


Spartanburg Regional Healthcare System rating

6.6

Company rating: 6.6 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

554th of 864 rated healthcare providers


Job description

Job Requirements

Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!

Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI.

Why Choose Spartanburg Regional Healthcare System

Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise.

Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.

Step Into a Role That Builds Trusted Data at Scale

Remote Data Engineer I

The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.

Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position.

What You Bring to the Table

Educational Foundation

  • Bachelor's or Master's degree in Computer Science, Mathematics, or Information Systems

Professional Experience

  • Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)
  • Strong communication and analytical skills
  • Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization
  • Strong understanding of SQL and relational database concepts
  • Familiarity with Epic applications and Epic database structures

Licenses and Certifications

  • Relevant Epic Data Model or Microsoft development certifications preferred
  • Certifications may include but are not limited to:
  • Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer
  • Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties
  • AI development including machine learning and analytics platforms
  • Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools
  • Microsoft SQL certifications

What You Will Learn and Deliver

  • Assists with build and refresh activities using approved data architecture designs
  • Supports data ingestion and ETL processes including basic troubleshooting and data quality validation
  • Collaborates with engineers and developers to learn enterprise data standards and development patterns
  • Ensures compliance with data governance, security, performance, and privacy standards
  • Executes assigned project requests exceeding 40 hours under supervision
  • Contributes to continuous improvement of data reliability and usability
  • Performs additional duties as assigned

Technologies and Work Areas You Will Support

  • Azure Databricks
  • Epic Caboodle development internal and external
  • Cogito Extract Scheduler
  • Cogito Reporting Workbench SQL
  • Cogito SQL Metrics
  • Copilot Studio agent development and management
  • Data agent development and management
  • Epic claims ingestion workflows
  • Microsoft Fabric Data Warehouse, Lakehouse, and ETL development
  • Power Platform applications
  • Power BI semantic model development and management
  • Slicer Dicer data model development and management
  • Other assigned or extended project requests

Take the Next Step

If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.


Employment Type: FULL_TIME

What Spartanburg Regional Healthcare System employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Spartanburg Regional Healthcare System

Sourced by ZipRecruiter

Spartanburg Regional Healthcare System is a leader in the healthcare industry, located in Spartanburg, SC, US. As a comprehensive health system, it offers services encompassing everything from wellness, prevention, and care coordination to specific medical treatments for a wide range of diseases and health issues. Spartanburg Regional Healthcare System was founded in 1921 and has since developed a reputation for excellence and innovative care, growing to include six hospitals, 100 medical offices, 8,000 associates and more than 900 medical staff.

Industry

Recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Spartanburg, SC, US

Year founded

1921