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Remote Data Pipeline Engineer Jobs (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is ... Primary Job Responsibilities Data Pipeline and Workflow Development * Design, implement, and ...

Info Gain Consulting

Data Engineer

Alexandria, VA · On-site +1

$122K - $147K/yr

Data Pipeline Development: Create and maintain data pipelines to efficiently move data from source ... Ability to work independently and collaboratively in a remote team environment. Preferred ...

Noblesoft Technologies

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 ...

Software Technology Inc

Remote Data Modeler

$56 - $72.75/hr

Remote Data Modeler Needed Responsibilities * Design conceptual and logical data models and ... Collaborate with internal and external personnel, including system architects, software developers ...

My3Tech Inc

Azure Data Engineer

$117K - $140K/yr

Austin, TX (Remote OK) Type: C2C/Fulltime Client: Loblolly/State of Texas Position Requirements ... Candidates will build enterprise data analytics pipelines across a variety of areas. We are looking ...

Urban SDK

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

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 ...

Cable One, Inc.

Data Engineer II

Phoenix, AZ · On-site +1

$108K - $130K/yr

The Data Engineer II designs, builds, and maintains data pipelines and infrastructure that bring ... We are open to hiring remote if we find the right talent in any of the following states: AL, AR, AZ ...

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 ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

HybridWork - Primarily remote roles with theabilityto work across the U.S. * Comprehensive Health ... Data Engineer is a key role on a centralized data engineering team that supports a wide range of ...

Adobe

Senior Build Systems & Pipeline Engineer

San Jose, CA · Remote

$122K - $168K/yr

The Opportunity We are looking for a Senior Build Systems & Pipeline Engineer to help scale and ... Enable scalable remote caching and distributed build execution strategies * Apply AI-assisted ...

Lakeview Loan Servicing

Data Engineer

Manhattan, NY · Remote

$140K - $240K/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 $240,000 USD ...

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All JobsRemote Data Pipeline Engineer Jobs

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 Jul 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.

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Remote Data Pipeline Engineer jobs near you

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 15 days ago

Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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