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Asynchronous Remote Jobs Data Engineer Jobs (NOW HIRING)

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection. This is a remote Data Engineering role focused on building and ...

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110K - $132K/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 ...

Senior Data Engineer

New York, NY · Remote

$150K - $230K/yr

Remote (U.S.) or New York City Type: Full-Time We're seeking a talented Senior Data Engineer to ... Experience with asynchronous Python * Familiarity with DAG tools like Airflow, dbt, or Dagster

$95K - $190K/yr

We bring data tools with the elegance and simplicity of consumer products to the crufty world of ... an asynchronous, remote-first environment. We're a global team (50% outside the US), fully ...

Data Engineer

Atlanta, GA · On-site +1

$112K - $134K/yr

Position Overview Kaizen Analytix is seeking an experienced remote Data Engineer to support a critical data conversion and migration initiative for a leading legal services client. This role will be ...

Data Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Position Overview Kaizen Analytix is seeking an experienced remote Data Engineer to support a critical data conversion and migration initiative for a leading legal services client. This role will be ...

Analytics Engineer

$95K - $190K/yr

We bring data tools with the elegance and simplicity of consumer products to the crufty world of ... an asynchronous, remote-first environment. We're a global team (50% outside the US), fully ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Data Engineer

$75 - $100/hr

Remote - United States Employment type: Contract (6-12+ months) Indicative rate: $75-$100/hr Role Summary We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models ...

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer

Boston, MA · On-site +1

$60 - $62/hr

Remote (The person can be remote, though local to Boston.) Details: Client is seeking a Data Engineer to design, develop, implement discrete data pipelines in support of RAG-based retrieval ...

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Asynchronous Remote Jobs Data Engineer information

See salary details

$47.5K

$101.7K

$146K

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

As of Jun 7, 2026, the average yearly pay for asynchronous remote jobs data engineer in the United States is $101,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What are Asynchronous Remote Jobs for Data Engineers?

Asynchronous remote jobs for data engineers are positions where professionals work from any location and collaborate with their teams without needing to be online at the same time. This means communication and project updates typically happen through tools like email, project management platforms, or recorded messages, allowing team members to work in different time zones or at their own pace. Data engineers in these roles are responsible for designing, building, and maintaining data systems, pipelines, and architectures, all while coordinating tasks and progress asynchronously. This setup provides greater flexibility and autonomy but also requires strong communication skills and self-motivation.

What are the key skills and qualifications needed to thrive as an Asynchronous Remote Jobs Data Engineer, and why are they important?

To thrive as an Asynchronous Remote Jobs Data Engineer, you need expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud data platforms (such as AWS, Azure, or Google Cloud), distributed computing frameworks, and version control systems like Git is typically required. Excellent time management, self-motivation, and written communication are vital soft skills for coordinating projects and collaborating effectively across different time zones. These skills and qualities are crucial for building reliable data pipelines and maintaining productivity in a flexible, asynchronous work environment.

How do Data Engineers in asynchronous remote jobs typically manage communication and collaboration within distributed teams?

In asynchronous remote roles, Data Engineers frequently rely on clear documentation, version control systems, and project management tools to ensure smooth collaboration across different time zones. Communication is often handled through written updates, recorded video messages, and regularly updated task boards rather than real-time meetings. This setup allows team members to contribute when it best fits their schedules, but it also requires strong self-discipline and proactive communication to keep projects moving forward. Successful Data Engineers in these environments are comfortable with autonomy and are diligent about keeping stakeholders informed of progress and roadblocks.

What is the difference between Asynchronous Remote Jobs Data Engineer vs Data Analyst?

AspectAsynchronous Remote Jobs Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote or on-site, reporting to managers, data visualization tools
Industry UsageTech, finance, e-commerce, healthcareMarketing, finance, retail, healthcare
Search & Comparison IntentUnderstanding technical roles, data infrastructureData insights, reporting, business analysis

While both roles involve working with data remotely, Data Engineers focus on building data pipelines and infrastructure, often requiring technical certifications and cloud platform experience. Data Analysts interpret data to generate reports and insights, typically with a focus on visualization and business understanding. The choice depends on your technical skills and career goals.

Infographic showing various Asynchronous Remote Jobs Data Engineer job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,706 per year, or $48.9 per hour.
Remote Data Engineer I

Remote Data Engineer I

Spartanburg Regional Medical Center

Spartanburg, SC • On-site, Remote

$111K - $134K/yr

Full-time

Posted 9 days ago


Spartanburg Regional Healthcare System rating

6.5

Company rating: 6.5 out of 10

Based on 114 frontline employees who took The Breakroom Quiz

558th of 869 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.

What Spartanburg Regional Healthcare System employees say

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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