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Remote Data Engineer Jobs (NOW HIRING)

Apex Informatics

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Apex Informatics

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/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 ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Urban SDK

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

K1X

Data Engineer

Indianapolis, IN · Remote

$117K - $140K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

K1X

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/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 ...

K1X

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

About The Role We are seeking a Data Engineer to design, build, and maintain the data pipelines and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Department Data Engineering Locations San Francisco, CA - Remote Remote status Fully Remote

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Remote Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data engineer 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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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Cities with the most Remote Data Engineer job openings:

What are the most commonly searched types of Data Engineer jobs?

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Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

DATA ENGINEER

Apex Informatics

Remote

$117K - $140K/yr

Full-time

Re-posted 24 days ago

Job description

Title: Senior Data Engineer
Location: Remote
Duration: 06 Months (C2H Role)
Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS
Position Summary:
The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
  • 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
  • Tech Skills:
    • Strong experience in Python Scripting and PySpark for data processing
    • Proficiency in SQL, dealing with big data over Informatica ETL
    • Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
    • Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
    • Expertise in BASH/Shell scripting
    • Experience in Data Build Tool (DBT) or similar data transformation tools
    • Experience in Mulesoft API
    • Nice to have: Kafka, Tableau
  • Strong understanding of healthcare data systems and experience leading data engineering teams
  • Experience in Agile environments.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.

Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.

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