ZipRecruiter

Log In

3

Full Time Remote Data Engineer Jobs in Houston, TX

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 responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Full Circle

MEP Engineer/Designer Remote

Houston, TX · Remote

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks related to mechanical, electrical, and plumbing design and engineering. The responsibilities include ...

Full Circle

MEP Engineer/Designer Remote

Houston, TX · On-site +1

This is a full-time remote role for an MEP Engineer/Designer. The role involves day-to-day tasks related to mechanical, electrical, and plumbing design and engineering. The responsibilities include ...

NATIONMIND LLC

Data Analyst

Houston, TX · Remote

$40 - $45/hr

Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance. This is a remote position.

Baker Hughes

Product Execution Engineer

Houston, TX · On-site +1

Have good IT acumens with ability to analyse complex data, data handling and adaptation to new ... This role is a Full-Time Remote opportunity. Working with us Our people are at the heart of what we ...

Baker Hughes

Product Execution Engineer

Houston, TX · On-site +1

Have good IT acumens with ability to analyse complex data, data handling and adaptation to new ... This role is a Full-Time Remote opportunity. Working with us Our people are at the heart of what we ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

next page

Showing results 1-20

All JobsData Engineer JobsFull Time Remote Data Engineer JobsFull Time Remote Data Engineer Jobs in Houston, TX

Full Time Remote Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do full time remote data engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for full time remote data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Remote Data Engineer, and why are they important?

To thrive as a Full Time Remote Data Engineer, you need strong programming skills (such as Python or Scala), a solid understanding of data modeling, and experience with database systems, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications (e.g., Google Cloud Professional Data Engineer) is typically required. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive. These competencies ensure robust, scalable data solutions and seamless teamwork across distributed environments.

How do Full Time Remote Data Engineers typically collaborate with cross-functional teams while working remotely?

Full Time Remote Data Engineers often work closely with data scientists, analysts, and software developers through virtual collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular stand-up meetings, sprint planning sessions, and code reviews are common practices to ensure alignment and smooth workflow across different time zones. Clear documentation, proactive communication, and sharing progress updates are essential for overcoming the challenges of remote teamwork and ensuring project goals are met efficiently.

What does a Full Time Remote Data Engineer do?

A Full Time Remote Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and databases from a remote location. They work with large sets of data, ensuring it is collected, stored, and processed efficiently for analysis and business decision-making. These engineers collaborate with data scientists, analysts, and other stakeholders to provide reliable data infrastructure while using tools such as SQL, Python, and cloud platforms. Working remotely, they leverage communication tools and version control systems to stay connected with their teams and manage projects effectively.

What is the difference between Full Time Remote Data Engineer vs Full Time Remote Data Analyst?

AspectFull Time Remote Data EngineerFull Time Remote Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications (e.g., Google Cloud Professional Data Engineer)Bachelor's in Statistics, Data Analysis certifications (e.g., Microsoft Certified Data Analyst)
Work EnvironmentDesigning data pipelines, managing databases, coding in Python, SQL, cloud platformsInterpreting data, creating reports, visualizations, using Excel, Tableau, SQL
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, consulting, finance, retail

Full Time Remote Data Engineers focus on building and maintaining data infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data and create insights, often using visualization tools. Both roles are in high demand for remote work, but they serve different functions within organizations.

What are the most commonly searched types of Remote Data Engineer jobs in Houston, TX? The most popular types of Remote Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Full Time Remote Data Engineer jobs? Cities near Houston, TX with the most Full Time Remote Data Engineer job openings:
Full Time Remote Data Engineer jobs near you

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Full-time

Re-posted 17 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