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Environmental Data Jobs (NOW HIRING)

We are currently seeking an Environmental Data Analyst to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment. This is an excellent ...

Hydraulic Data Technician / Environmental Data Analyst Help turn complex environmental data into meaningful insights that support healthier, more efficient water and wastewater systems. We are ...

Hydraulic Data Technician / Environmental Data Analyst Help turn complex environmental data into meaningful insights that support healthier, more efficient water and wastewater systems. We are ...

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be ...

This role is ideal for an experienced environmental data professional with deep knowledge of EQuIS, familiarity with electronic data deliverables (EDDs), federal and state (NYSDEC specific ...

Environmental Specialist

Alexandria, VA · On-site

$80K - $101K/yr

Review environmental reports, monitoring data, permit applications, and technical documentation for regulatory compliance. * Support development and implementation of operating procedures, compliance ...

Assisting with environmental data management, quality assurance reviews, and interpretation of field and laboratory results. * Supporting the preparation of technical reports, permit applications ...

New

Assisting with environmental data management, quality assurance reviews, and interpretation of field and laboratory results. * Supporting the preparation of technical reports, permit applications ...

New

Environmental Engineer

Shelton, CT · On-site

$79K - $116K/yr

Collect, identify, compile, and evaluate environmental data from air, soil, groundwater, surface water, sludge, and other environmental media. * Research environmental and hazardous materials ...

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Environmental Data information

What are some common challenges faced by professionals working in environmental data roles, and how can they be addressed?

Professionals in environmental data roles often encounter challenges such as handling large, complex datasets, ensuring data accuracy, and integrating information from disparate sources. Managing data quality and staying up-to-date with evolving data collection technologies can also be demanding. To address these challenges, environmental data specialists typically collaborate closely with scientists, IT teams, and field technicians, utilize advanced data management tools, and participate in ongoing training to keep their skills current. Effective communication and teamwork are essential for ensuring that environmental data is reliable and actionable.

What is environmental data?

Environmental data refers to information collected about the natural environment, including air, water, soil, climate, and biodiversity. This data is gathered using various methods such as sensors, satellite imagery, field surveys, and laboratory analysis. Environmental data is essential for monitoring changes in ecosystems, assessing pollution levels, and supporting environmental policy and management decisions. It helps researchers, policymakers, and organizations understand and address environmental issues effectively.

What are the key skills and qualifications needed to thrive as an environmental data analyst, and why are they important?

To thrive as an Environmental Data Analyst, you need a background in environmental science, strong quantitative and analytical skills, and proficiency in statistics. Familiarity with data analysis software such as R, Python, GIS tools, and data management systems is typically required. Attention to detail, critical thinking, and effective communication are soft skills that help in interpreting data and presenting findings to diverse audiences. These competencies are essential for accurately analyzing environmental trends and informing data-driven decisions for sustainability and compliance.

What is the difference between Environmental Data vs Environmental Technician?

AspectEnvironmental DataEnvironmental Technician
Required CredentialsDegree in environmental science, data analysis skillsAssociate or bachelor's in environmental science or related field
Work EnvironmentData analysis labs, field data collection, office settingsFieldwork sites, laboratories, environmental monitoring locations
Employer & Industry UsageResearch institutions, government agencies, consulting firmsEnvironmental consulting, government agencies, industrial sites
Common Search & ComparisonFocuses on data collection, analysis, and reportingFocuses on collecting environmental samples and monitoring conditions

Environmental Data specialists analyze and interpret environmental information, often working with large datasets. Environmental Technicians collect samples and perform field measurements. While both roles support environmental projects, Data roles focus on analysis, whereas Technicians focus on data collection in the field.

More about Environmental Data jobs
What cities are hiring for Environmental Data jobs? Cities with the most Environmental Data job openings:
What are the most commonly searched types of Environmental Data jobs? The most popular types of Environmental Data jobs are:
What states have the most Environmental Data jobs? States with the most job openings for Environmental Data jobs include:
Infographic showing various Environmental Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Environmental Data Analyst

GSI Environmental Inc.

Olympia, WA • On-site

$76K - $110K/yr

Full-time

Re-posted 17 hours ago


Job description

Description
GSI is seeking an Environmental Data Analyst who combines technical ability, analytical creativity, and business acumen to strengthen our data management, analysis, and visualization team. The ideal candidate is comfortable across the full data lifecycle-building and maintaining relational databases, developing analysis and automation pipelines in SQL, Python, and/or R, and providing query, reporting, and visualization support in a collaborative organization working closely with technical staff. Familiarity with environmental chemistry data generated from field investigations of water, soil, sediment, air, and biological matrices is valued. The candidate should know how to analyze system requirements and be familiar with relational databases, statistical analysis, and modern data visualization techniques using relevant and current tools.
GSI provides high-quality technical and regulatory expertise to industry and government to address a broad range of environmental issues. We specialize in solving complex environmental problems by leveraging our extensive knowledge of environmental regulations, stressing accurate data collection and analysis, and applying new technologies to our clients' most difficult challenges.
Responsibilities
  • Support environmental investigation projects by maintaining relational databases of environmental chemistry data from historical reports, laboratory test results, web sources, and third-party databases.
  • Build and maintain ETL (extract, transform, load) and analysis workflows in SQL, Python, and/or R to clean, transform, validate, and analyze environmental datasets.
  • Work with multi-disciplinary teams of engineers and scientists to support statistical and spatial analyses.
  • Build dashboards and visualizations, and format tables, charts, and graphs to style guidelines for technical reports and presentations.
  • Organize data in structures that support automation and downstream analysis.
  • Perform quality assurance on analytical databases to ensure data integrity, and identify and correct data gaps, errors, and relational table issues.
  • Support a wide variety of projects ranging from litigation support and site investigation to data mining for research and development.
  • Effectively communicate findings to internal and external clients.
  • Complete assigned tasks on schedule and within budget while meeting quality standards on deliverables.

  • BS/BA or higher degree in data science, computer science, statistics, environmental science, or a related field.
  • 2-5 years of work experience in data management or analysis, with strong relational database skills using PostgreSQL, Microsoft SQL Server, Microsoft Access, or other database management systems.
  • Comfortable writing advanced SQL for data management (beyond basic create, read, update, delete), to clean, transform, and structure data in relational databases.
  • Familiarity with relational database design, data modeling, and normalization.
  • Awareness of data compilation, migration, and backup/retention considerations.
  • Shell scripting (Bash) and comfort working in Linux and command-line environments.
  • Experience using Python and/or R (Tidyverse, Shiny) for data analysis, visualization, dashboards, and web applications, including hands-on project work.
  • Self-motivated and eager to learn, with a drive to adopt new data and analysis techniques, AI, and emerging technologies to improve workflows.
  • Excellent written and verbal communication, and the ability to manage multiple tasks and meet deadlines with limited supervision.
  • Strong problem-solving skills and attention to detail.
  • Additional preferred skillsets and qualifications include:
    • Familiarity with chemistry data, laboratory information management systems (LIMS), data validation, and extraction of data from online sources.
    • Version control (Git) and reproducible, scripted analysis workflows.
    • Application development and deployment, including web frameworks for data tools (e.g., Django, Flask/FastAPI, Dash, Streamlit, R Shiny). Familiarity with containerization (Docker) is a plus.
    • Experience with embedded and analytical database engines (e.g., SQLite, DuckDB) for local analysis, prototyping, and data interchange.

Job Perks
  • Competitive salary and benefits
  • Quarterly and year-end bonuses
  • Flexible work environment with potential for remote work
  • On-the-job training, mentorship, and professional development
  • Participation in conferences, technical presentations, and papers
  • Collaborative atmosphere
  • Base salary will vary depending on qualifications and experience.

The anticipated salary range for this position is $76,000-$110,000. This range represents GSI's good-faith estimate of the base salary for the position and is provided in accordance with applicable pay transparency laws. Starting salary will be determined based on several job-related factors, including relevant experience, education, professional licensure, certifications, technical expertise, geographic location, internal equity, and overall qualifications.