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Remote Database Developer Jobs in Houston, TX (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 ... Implement data storage solutions using relational, spatial, and object-based databases * Support ...

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 ... Implement data storage solutions using relational, spatial, and object-based databases * Support ...

Atria Group LLC

Oracle WebCenter Sites Admin

Houston, TX · Remote

$21.75 - $27.50/hr

... programming languages and tools, distributed database management systems, state-of-the-art ... 1.8 (Content, Remote Satellite, Community and Gadget Servers) o WebCenter Sites Clustering o ...

Aquent

Sr. Developer / Contracts Specialist V

Houston, TX · On-site +1

$70 - $74/hr

... Database, TOAD/SQL Developer, Operating systems such as Linux and Windows and ability to ... Houston-based candidates preferred; open to strong remote talent. **About Aquent Talent:** Aquent ...

Gainwell Technologies LLC

Senior .Net Developer

Houston, TX · On-site +1

$72K - $104K/yr

Strong knowledge of relational databases including DB2 and SQL * Proficiency in the Microsoft Suite ... Primarily remote within the US with occasional travel may be required * Opportunities to travel ...

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Experience with geospatial data processing tools and databases. * Familiarity with additional ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

SynMax

Senior Full-Stack Engineer

Houston, TX · Remote

Experience with geospatial data processing tools and databases. * Familiarity with additional ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

Fuze Health

Principal Engineer

Texas City, TX · On-site +1

Spearhead initiatives to optimize system performance, reduce latency, and improve database ... Remote/Hybrid/On-site details]. * Tools & Tech Stack: Mastery of modern cloud architectures and ...

Gainwell Technologies LLC

UX/UI Product Developer

Houston, TX · On-site +1

$86K - $124K/yr

... Database Technologies including HTML5, CSS3, SQL Server, PostgreSQL, and MongoDB * Proficiency in ... Fully Remote Opportunity * Opportunities to travel through your work (0-10%) Note * Video cameras ...

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Remote Database Developer information

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How much do remote database developer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for remote database developer in Houston, TX is $50.73, according to ZipRecruiter salary data. Most workers in this role earn between $41.54 and $57.40 per hour, depending on experience, location, and employer.

What Does a Remote Database Developer Do?

A database developer or programmer creates and implements computer databases that store and maintain an entity’s data information. You work with clients to identify the best database management software and test the application or program for performance and efficiency. Your responsibilities include designing information systems to meet the needs of the client, testing product performance, performing data analysis, and developing documentation from your analysis. In some cases, you may also train or teach other developers or client teams. As a remote developer, you may complete your duties on your own or as part of a remote team for a corporate client or employer.

What are the key skills and qualifications needed to thrive as a Remote Database Developer, and why are they important?

To thrive as a Remote Database Developer, you need strong expertise in database design, SQL programming, and data modeling, usually supported by a degree in computer science or a related field. Familiarity with database management systems like MySQL, PostgreSQL, or Microsoft SQL Server, and certifications such as Microsoft Certified: Azure Database Administrator Associate, are highly valuable. Excellent problem-solving, communication, and self-management skills help you collaborate effectively and deliver solutions in a remote environment. These skills ensure secure, efficient, and reliable database solutions that meet organizational needs while supporting independent work and remote teamwork.

What is the difference between Remote Database Developer vs Remote Data Analyst?

AspectRemote Database DeveloperRemote Data Analyst
Required CredentialsBachelor's in Computer Science or related field, SQL certificationsBachelor's in Statistics, Data Science, or related field, SQL and data analysis certifications
Work EnvironmentDeveloping, maintaining, and optimizing databases remotelyAnalyzing data sets, creating reports, and providing insights remotely
Employer & Industry UsageTech companies, finance, healthcare, e-commerce

Remote Database Developers focus on designing and managing databases, requiring technical skills and certifications. Remote Data Analysts interpret data to support business decisions. While both roles often work remotely and require SQL knowledge, their core responsibilities differ: development vs analysis.

What is a Remote Database Developer?

A Remote Database Developer is a technology professional who designs, creates, and maintains database systems while working from a remote location, rather than in a traditional office setting. Their responsibilities include developing database structures, optimizing queries, ensuring data integrity, and implementing security measures. They often collaborate with software developers and IT teams to ensure databases are efficient and meet organizational requirements. Remote work allows them to perform these tasks using cloud-based tools and secure connections, providing flexibility for both employers and employees.

What are some common challenges faced by remote database developers, and how can they be addressed?

Remote database developers often encounter challenges such as coordinating with distributed teams, managing secure access to sensitive data, and troubleshooting issues without on-site support. To overcome these, it's important to establish clear communication channels, use secure VPNs and authentication protocols, and leverage collaborative tools like version control and ticketing systems. Regular check-ins and thorough documentation also help ensure everyone stays aligned and project progress remains smooth.
More about Remote Database Developer jobs
What are the most commonly searched types of Database Developer jobs in Houston, TX? The most popular types of Database Developer jobs in Houston, TX are:
What are popular job titles related to Remote Database Developer jobs in Houston, TX? For Remote Database Developer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Remote Database Developer jobs in Houston, TX look for? The top searched job categories for Remote Database Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Remote Database Developer jobs? Cities near Houston, TX with the most Remote Database Developer job openings:
Remote Database Developer jobs near you
Infographic showing various Remote Database Developer job openings in Houston, TX as of June 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $105,514 per year, or $50.7 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Full-time

Posted 5 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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