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Remote Data Pipeline 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 ...

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 ... Build and Maintain Data Pipelines: * Develop and maintain reliable data pipelines thatmove and ...

Innowhyte Inc

Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications. Collaborate with cross-functional teams, including data scientists and ...

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 ...

Innowhyte Inc

Key Responsibilities: • Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications. • Collaborate with cross-functional teams ...

Ruri Software Technologies LLC

Data Engineer

$117K - $140K/yr

Remote Must Have * Proficient in working on the MS Azure Platform (Azure data pipeline etc.; S3) * Recent Spark/Scala hands on experience * Proven track record with NoSQL data stores such as MongoDB ...

NinjaOne

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

NinjaOne

Data Software Engineer

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

NinjaOne

Data Software Engineer

NC · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

NinjaOne

Data Software Engineer

Baltimore, MD · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

NinjaOne

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

NinjaOne

Data Software Engineer

Baltimore, MD · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

NinjaOne

Data Software Engineer

Kansas, KS · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Data Pipeline Development: Design and implement scalable data pipelines that move and transform ...

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

RIT Solutions

Azure Data Engineer w/ Python/C#

$117K - $140K/yr

Azure Data Engineer W/ Python/C# Location: 100% Remote Duration: long term Interview Mode: Video ... Create and maintain optimal data pipeline architecture * Assemble large, complex data sets that ...

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Remote Data Pipeline information

What is the difference between Remote Data Pipeline vs Data Engineer?

AspectRemote Data PipelineData Engineer
Required SkillsData integration, ETL tools, scriptingDatabase management, programming, data architecture
Work EnvironmentRemote, cloud-based platformsOn-site or remote, enterprise environments
CertificationsCloud certifications, data toolsData management, cloud certifications
Industry UsageTech, finance, healthcareTech, finance, healthcare

Remote Data Pipelines focus on building and maintaining automated data workflows in cloud environments, often requiring scripting and data integration skills. Data Engineers design and develop comprehensive data systems, including databases and data architecture, with broader responsibilities. Both roles are vital in data-driven industries and often overlap, but Data Engineers typically have a wider scope and require more extensive technical expertise.

More about Remote Data Pipeline jobs
What cities are hiring for Remote Data Pipeline jobs? Cities with the most Remote Data Pipeline job openings:
What are the most commonly searched types of Data Pipeline jobs? The most popular types of Data Pipeline jobs are:
What states have the most Remote Data Pipeline jobs? States with the most job openings for Remote Data Pipeline jobs include:
What job categories do people searching Remote Data Pipeline jobs look for? The top searched job categories for Remote Data Pipeline jobs are:
Remote Data Pipeline jobs near you
Infographic showing various Remote Data Pipeline job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Posted 9 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

Apply