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Data Engineer Internship Remote 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 ...

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 ...

MD Anderson

Principal Data Engineer

Houston, TX · Remote

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us? UT MD Anderson offers the opportunity to lead transformative ...

MD Anderson

Principal Data Engineer

Houston, TX · Remote

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us. UT MD Anderson offers the opportunity to lead transformative ...

MD Anderson

Principal Data Engineer

Houston, TX · Remote

$146K/yr

The Principal Data Engineer partners with technology, governance, analytics, and business ... Remote 100% within Texas only Why Us? UT MD Anderson offers the opportunity to lead transformative ...

Chevron

2026-2027 Petroleum Engineer Intern

Houston, TX · On-site +1

$10K/mo

... data scientists, and/or software developers. Petroleum engineers develop technical skills in ... Interns will be provided with a mentor to provide guidance on their projects. Positions can be ...

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.

HealthCorps

Monitoring & Evaluation Intern

Houston, TX · Remote

This internship provides an excellent opportunity for undergraduate or graduate students looking to ... Understanding how data and evaluation support health programming and student outcomes College ...

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Data Engineer Internship Remote information

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How much do data engineer internship remote jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for data engineer internship remote in Houston, TX is $24.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $27.55 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a remote Data Engineer Intern?

As a remote Data Engineer Intern, your daily responsibilities often include assisting with data extraction, transformation, and loading (ETL) processes, cleaning and organizing datasets, and helping to build or maintain data pipelines. You may also work on tasks such as writing scripts in SQL or Python, contributing to database schema design, and documenting your work for team collaboration. Regular communication with your supervisor and team, participating in virtual meetings, and collaborating on version control platforms like Git are also common aspects of the role. These experiences offer valuable insight into real-world data engineering workflows and prepare you for more advanced responsibilities in the field.

What is a Data Engineer Internship Remote job?

A Data Engineer Internship Remote job is a temporary, online position where interns assist with building, maintaining, and optimizing data pipelines and infrastructure. Interns work with large datasets, databases, and ETL processes to support business intelligence and analytics teams. They gain experience in cloud platforms, SQL, Python, and data warehousing while collaborating with engineers and analysts. This remote role allows flexibility while providing hands-on experience in data engineering best practices.

What are the key skills and qualifications needed to thrive in the Data Engineer Internship Remote position, and why are they important?

To excel as a Data Engineer Intern in a remote setting, you need a solid grounding in computer science, data structures, and programming concepts, often supported by coursework or experience in related fields. Familiarity with data modeling, SQL, Python, cloud platforms (like AWS or Azure), and tools such as Apache Spark or Airflow is highly valuable, along with any project-based experience or relevant certifications. Strong communication, self-motivation, and time management skills are crucial for working efficiently and collaboratively in a remote environment. These abilities enable you to handle data workflows, solve technical problems, and contribute effectively to distributed teams in real-world projects.

What are popular job titles related to Data Engineer Internship Remote jobs in Houston, TX? For Data Engineer Internship Remote jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Engineer Internship Remote jobs in Houston, TX look for? The top searched job categories for Data Engineer Internship Remote jobs in Houston, TX are:
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Data Engineer Internship Remote jobs near you
Infographic showing various Data Engineer Internship Remote job openings in Houston, TX as of July 2026, with employment types broken down into 9% Internship, 69% Full Time, 8% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $50,486 per year, or $24.3 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Full-time

Re-posted 14 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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