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Environmental Informatics Jobs in Texas (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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Environmental Informatics information

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$39.6K

$91.7K

$155.1K

How much do environmental informatics jobs pay per year?

As of Jul 14, 2026, the average yearly pay for environmental informatics in Texas is $91,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $114,100.00 per year, depending on experience, location, and employer.

What jobs will no longer exist in 2030?

Environmental Informatics professionals may see some traditional data entry or manual monitoring roles diminish as automation, AI, and advanced sensors become more prevalent. Jobs focused solely on routine data collection without integration of new technologies are likely to decline, while roles requiring expertise in data analysis, GIS, and environmental modeling will grow. Adaptation to new tools and skills will be essential for future employment in this field.

What jobs in the US pay 300,000 a year?

In environmental informatics, high-paying roles such as senior data scientists, environmental consultants, or research directors can reach or exceed $300,000 annually, especially with extensive experience, advanced degrees, and specialized skills in data analysis, GIS tools, and environmental modeling. These positions often require leadership responsibilities and may be found in government agencies, large consulting firms, or research institutions.

What are the key skills and qualifications needed to thrive in the Environmental Informatics position, and why are they important?

To thrive in Environmental Informatics, you need a solid background in environmental science, data analysis, and geospatial technologies, often supported by a relevant degree such as environmental science, computer science, or geography. Expertise in GIS software (e.g., ArcGIS, QGIS), programming languages (such as Python or R), and data management systems is commonly required, along with industry certifications like GISP being a plus. Strong problem-solving abilities, communication skills, and collaborative mindset help professionals translate complex data into actionable insights and work effectively with multidisciplinary teams. These combined skills enable accurate environmental data interpretation and informed decision-making for sustainable resource management and policy development.

What is the highest paying job in the environmental field?

In environmental informatics, senior roles such as Environmental Data Science Managers or Chief Sustainability Officers tend to have the highest salaries, often exceeding six figures. These positions typically require advanced technical skills, experience with data analysis tools, and leadership responsibilities.

What are the typical daily responsibilities of someone working in Environmental Informatics?

Professionals in Environmental Informatics typically spend their days collecting, managing, and analyzing large datasets related to environmental phenomena such as air quality, land use, or water resources. They often use GIS software, database management tools, and programming languages to clean, visualize, and interpret data, then collaborate with scientists, policymakers, and stakeholders to present their findings. Daily tasks might also include developing or maintaining environmental monitoring systems and contributing to research reports or grant proposals. This role involves both independent technical work and teamwork, offering a balance of analytical and collaborative activities.

What is an Environmental Informatics job?

An Environmental Informatics job involves using data, technology, and computational tools to analyze and solve environmental challenges. Professionals in this field collect, process, and interpret environmental data from sources like satellite imagery, sensors, and databases. They work in areas such as climate modeling, natural resource management, and pollution monitoring to support decision-making. Environmental informatics specialists often collaborate with scientists, policymakers, and organizations to develop sustainable solutions using data-driven insights.

What jobs do informatics majors get?

Informatics majors can pursue roles such as environmental data analyst, GIS specialist, environmental informatics analyst, or sustainability analyst. These jobs often require skills in data management, programming, and knowledge of environmental systems, with tools like GIS software and data analysis platforms commonly used.
What are the most commonly searched types of Environmental Informatics jobs in Texas? The most popular types of Environmental Informatics jobs in Texas are:
What are popular job titles related to Environmental Informatics jobs in Texas? For Environmental Informatics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Environmental Informatics jobs in Texas look for? The top searched job categories for Environmental Informatics jobs in Texas are:
Environmental Informatics jobs near you
Infographic showing various Environmental Informatics job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 1% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $91,683 per year, or $44.1 per hour.

Data Engineer

Arva Intelligence

Houston, TX • On-site

$95K - $130K/yr

Full-time

Posted 26 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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