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Remote Data Pipeline Engineer Jobs (NOW HIRING)

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data ...

Sr.Data Engineer

$117K - $140K/yr

Remote Duration: Contract : About the Role We are looking for a skilled and motivated Data Engineer ... In this role, you will design, build, and maintain scalable data pipelines and infrastructure on ...

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The ... or pipeline testing. * 5+ years of Hands-on testing experience on Snowflake and Databricks ...

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The ... or pipeline testing. * 5+ years of Hands-on testing experience on Snowflake and Databricks ...

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The ... or pipeline testing. * 5+ years of Hands-on testing experience on Snowflake and Databricks ...

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

Jackson, MS 39211 - Remote Duration: 5 years Bachelor's degree required Position Description ... Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and ...

Data Engineer II

Aliso Viejo, CA · Remote

$122K - $146K/yr

Optimize performance, reliability, and monitoring of the data pipeline stack * Support migration ... with geographically remote teams * Experience with Amazon Web Services at enterprise scale ...

Data Engineer (Remote)

$117K - $140K/yr

The Data Engineer will support the development, maintenance, and optimization of data pipelines and ... Responsibilities : • Build, maintain, and optimize data pipelines utilizing Azure Data Factory ...

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards ...

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards ...

BigRio is a remote-based technology consulting firm headquartered in Boston, MA, specializing in advanced software solutions. They are seeking a highly skilled QA Engineer to focus on data pipeline ...

Data Engineer

$117K - $140K/yr

About the role We are looking for a skilled Data Engineer to design, build, and maintain scalable ... pipelines in production. Compensation * Location: Jacksonville, FL (Town Center Area) or Remote

Showing results 21-40

Remote Data Pipeline Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 3, 2026, the average yearly pay for remote data pipeline 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 the difference between Remote Data Pipeline Engineer vs Data Engineer?

AspectRemote Data Pipeline EngineerData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's or higher in CS, Software Engineering; certifications like AWS or GCP often preferred
Work EnvironmentRemote, collaborative teams, cloud-based toolsRemote or on-site, enterprise or startup settings, cloud and on-premise infrastructure
Industry UsageTech, finance, healthcare, e-commerceSame as Remote Data Pipeline Engineer, broader focus on data infrastructure

Both roles focus on managing data workflows, but Remote Data Pipeline Engineers specialize in building and maintaining data pipelines specifically in cloud environments, often with a focus on ETL processes. Data Engineers have a broader scope, including designing data architectures and working with large-scale data systems. The roles overlap significantly, especially in skills and industry usage, but the Pipeline Engineer role emphasizes pipeline development and deployment in remote, cloud-based settings.

More about Remote Data Pipeline Engineer jobs

What cities are hiring for Remote Data Pipeline Engineer jobs?

Cities with the most Remote Data Pipeline Engineer job openings:

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

The most popular types of Data Pipeline Engineer jobs are:

What states have the most Remote Data Pipeline Engineer jobs?

States with the most job openings for Remote Data Pipeline Engineer jobs include:

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The top searched job categories for Remote Data Pipeline Engineer jobs are:

Infographic showing various Remote Data Pipeline Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AWS Data Engineer

Qode

CO • On-site, Remote

$114K - $137K/yr

Full-time

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


Job description

Job Brief
As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.
Responsibilities
• Lead and support the delivery of data platform modernization projects.
• Design and develop robust and scalable data pipelines leveraging AWS native services.
• Optimize ETL processes, ensuring efficient data transformation.
• Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
• Design automations and integrations to resolve data inconsistencies and quality issues
• Perform system testing and validation to ensure successful integration and functionality.
• Implement security and compliance controls in the cloud environment.
• Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
• Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.
Skills and Requirements
• 10+ years' experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
• Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
• Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
• Experience with streaming and batch data pipeline/engineering architectures.
• Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
• Hands-on experience with Databricks and a willingness to grow capabilities.
• Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
• Strong problem-solving and analytical skills.
• Knowledge of Dataiku is needed
• Graduate/Post-Graduate degree in Computer Science or a related field.
• AWS S3 (data storage, export, recall)
• Athena (querying data lakes)
• Data pipelines (batch & near-real-time)
• Integration with external systems (FHIR)
• Secure data handling (KMS, Macie)
• Cloud-native analytics
• Multi-account, multi-region data architecture
• BI integrations: Power BI, Tableau, QuickSight