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Remote Data Pipeline Engineer Jobs (NOW HIRING)

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from ... Collaborate with DevOps, analysts, and application developers to align pipelines with system ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from ... Collaborate with DevOps, analysts, and application developers to align pipelines with system ...

Prop Firm Match Global - FZCO

Analytics / Data Engineer

$3.5K - $5.5K/mo

We're a fast-moving, fully remote team with members from all around the world caring deeply about ... Monitor pipeline reliability and address breakages. Objective 2 - Build reliable business data ...

Ruri Software Technologies LLC

Data Engineer

$117K - $140K/yr

Data Engineer JOB RESPONSIBILITIES The primary focus of a Data Engineer will be expanding and ... Create and maintain optimal data pipeline architecture * Assemble complex, large data sets that ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$160K - $200K/yr

... Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data Engineer to join our team at Fort Belvoir, Virginia. The AI Data Engineer will design, develop, and maintain data pipelines and ...

Experity

Senior Data Engineer - Remote

$110K - $150K/yr

Design, build, and maintain scalable ETL/ELT pipelines for batch and near-real-time data processing ... Engineering Excellence & DataOps * Develop reusable frameworks, libraries, and engineering patterns ...

Lakeview Loan Servicing

Data Engineer

Manhattan, NY · Remote

$140K - $190K/yr

... pipelines and platforms. This role contributes to the development and evolution of core data ... This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ...

Intellisoft Technologies

Data Engineer

$117K - $140K/yr

Intellisoft Technologies is seeking a Data Engineer to join their team ... The role involves designing, developing, and maintaining scalable ETL pipelines while ensuring data ...

Manulife

Data Engineer

Boston, MA · Remote

$137K/yr

Develop and optimize Spark based pipelines using databricks for large-scale data processing and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

RIT Solutions, Inc.

Data Engineer

$117K - $140K/yr

RIT Solutions, Inc. is seeking a Data Engineer for a contract position ... The role involves designing and implementing data pipelines, ensuring product quality and ...

SumerSports LLC

Data Engineer

$160K - $190K/yr

Build and operate robust data pipelines for ingestion, cleaning, and transformation using ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Manulife

Data Engineer

California, MD · On-site +1

$137K/yr

Develop and optimize Spark based pipelines using databricks for large-scale data processing and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Splice

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... Pipeline Development & Transformation * Build and maintain data models in SQLMesh, including ...

Splice

Data Engineer II (Remote US)

$117K - $140K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... Pipeline Development & Transformation * Build and maintain data models in SQLMesh, including ...

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All Jobsremote JobsRemote Data Pipeline Engineer Jobs

Remote Data Pipeline Engineer information

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$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?

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

The most popular types of Data Pipeline Engineer jobs are:

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Remote Data Pipeline Engineer jobs near you
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.

Data Engineer

Magpie Health Analytics

Baltimore, MD • On-site, Remote

$113K - $136K/yr

Full-time

Re-posted 8 days ago

Job description

Position Purpose:

We are seeking a Data Engineer to support the development of cloud-native data solutions that improve operational efficiency, support regulatory reporting, and drive actionable insight for our commercial and government healthcare clients. This role is responsible for building, maintaining, and optimizing scalable data pipelines and validation workflows across complex datasets-enabling downstream analytics, application logic, and system modernization initiatives.

Primary Duties & Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using structured and semi-structured data from relational databases, flat files, APIs, and cloud data sources.
  • Collaborate with backend and architecture teams to define data transformation flows aligned with dashboard and reporting application needs.
  • Design and optimize data schemas to ensure performance, integrity, and compatibility with reporting requirements.
  • Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools.
  • Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs.
  • Implement data quality and validation checks and document data lineage and pipeline logic for audit and reuse.
  • Troubleshoot performance issues in data jobs and support data pipeline operations across environments (DEV, VAL, PROD).
  • Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services.
  • Assist in developing or maintaining data documentation, including metadata, data dictionaries, and technical user guides.
  • Stay up to date with emerging technologies, techniques, and trends to inform product development and decision-making.

Minimum Qualifications:

  • Bachelor's degree in computer science, engineering, statistics, or related field.
  • 4+ years of experience in a data engineering, data pipeline, or ETL/ELT development role.
  • Strong proficiency in SQL, data transformation logic, and performance tuning for large datasets.
  • Proficiency with Python and libraries such as Pandas, PySpark, or Numpy.
  • Experience with modern version control and CI/CD practices (e.g., GitHub Actions, Jenkins).
  • Understanding of distributed computing solutions for data processing (e.g. AWS Glue, AWS EMR, Apache Hadoop, Apache Spark)
  • Experience with data pipeline orchestration frameworks or serverless tools (e.g., AWS StepFunctions, AWS Glue Workflows, and/or AWS Lambda).

Preferred Qualifications:

  • Experience developing solutions in AWS cloud environments (S3, Lambda, Aurora, SNS, CloudFormation/CDK).
  • Experience with Snowflake, Amazon RDS, or other cloud-native data warehouses.
  • Familiarity with modern data transformation tools (dbt, Dataform, or equivalent) and best practices for modular, tested SQL transformations within an ELT architecture.
  • Experience supporting healthcare data systems or CMS data environments
  • AWS certifications are a plus.
Employment Type: FULL_TIME

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