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Remote Base Jobs in Texas (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 responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Arva Intelligence

Modeling Scientist

Houston, TX · On-site +1

$100K - $160K/yr

Remote Base Salary Range : $100k - $160k base salary The Modeling Scientist is responsible for improving model traceability, uncertainty quantification, and predictive trustworthiness in Arva ...

Arva Intelligence

Markets Analyst - Biofuels

Houston, TX · On-site +1

$85K - $110K/yr

Houston, TX (Hybrid / Partial Remote) Base Salary: $85K - 110K plus bonus About Arva Intelligence Arva Intelligence is a leading sustainability technology platform helping agricultural producers ...

Accounting Fly

Remote Tax Manager

Dallas, TX · Remote

$140K - $180K/yr

Base Salary Range: $140,000-$180,000 per year (USD) Commensurate with experience and qualifications Remote Tax Manager needed at a modern accounting firm to deliver advisory and tax services with a ...

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Remote Base information

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

To thrive as a Remote Base Manager, you need strong leadership, logistical planning, and operational management skills, often supported by experience in remote site operations or relevant industry certifications. Familiarity with project management software, satellite communication systems, and health and safety protocols is typically required. Exceptional problem-solving, adaptability, and communication skills help you manage diverse teams and unpredictable challenges in isolated environments. These competencies ensure efficient site operations, safety, and effective coordination in demanding remote settings.

What are some common challenges faced by professionals working in a remote-based role, and how can they be addressed?

Professionals in remote-based roles often encounter challenges such as effective communication, feelings of isolation, and managing work-life balance. To address these issues, it's important to leverage collaboration tools, establish clear communication protocols with your team, and set boundaries for work hours. Regular virtual check-ins and participating in online team-building activities can also help maintain a sense of connection and engagement. Many organizations provide resources and best practices to support remote employees in overcoming these challenges.

What is the difference between Remote Base vs Remote Customer Support Agent?

AspectRemote BaseRemote Customer Support Agent
CredentialsVaries; often includes technical or industry-specific certificationsCustomer service experience; communication skills
Work EnvironmentRemote, often technical or project-basedRemote, customer-facing
Industry UsageTech, IT, consultingRetail, telecom, tech support
Search IntentJob opportunities, remote work optionsCustomer support roles, remote support jobs

Remote Base typically refers to a platform or company offering various remote job opportunities, often in technical fields. Remote Customer Support Agent focuses specifically on customer service roles. While both are remote jobs, Remote Base provides broader job listings, whereas Remote Customer Support Agent is specialized in customer support roles.

What is a Remote Base job?

A Remote Base job refers to a position where employees work entirely remotely, without being tied to a specific office location. This setup allows individuals to work from home or any location with a stable internet connection. Remote Base jobs offer flexibility, enabling employees to manage their own schedules while staying connected through digital communication tools. These roles can be found across various industries, including tech, customer service, marketing, and more.

What are Remote Base jobs?

Remote Base jobs refer to positions that allow employees to work from a location outside of a traditional office, often from home or any place with internet access. These jobs can span various industries such as technology, customer service, marketing, and more. Remote Base roles typically rely on digital communication tools and cloud-based collaboration platforms to keep teams connected and productive. Many companies offer remote positions to provide flexibility, access a broader talent pool, and improve work-life balance for their employees.
What are the most commonly searched types of Base jobs in Texas? The most popular types of Base jobs in Texas are:
What are popular job titles related to Remote Base jobs in Texas? For Remote Base jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Base jobs in Texas look for? The top searched job categories for Remote Base jobs in Texas are:
What cities in Texas are hiring for Remote Base jobs? Cities in Texas with the most Remote Base job openings:
Remote Base jobs near you
Infographic showing various Remote Base job openings in Texas as of July 2026, with employment types broken down into 82% Full Time, 10% Part Time, and 8% Temporary. Highlights an 100% Remote job distribution.

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Full-time

Posted 23 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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