1

Environmental Data Validation Scientist Jobs (NOW HIRING)

$80 - $100/hr

Consultant, Environmental Data Quality Scientist 5 months ago Shape the future of environmental ... Preferred * Experience performing environmental data validation and/or data quality reviews in ...

Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce ... Strong environmental and data science background, with the ability to reason about how ...

VALIDATION SCIENTIST

Boerne, TX · On-site

$40K - $500K/yr

... and Environmental Testing: Perform routine testing and report preparation for compressed air ... Analyze validation test data to determine if systems or processes successfully meet established ...

VALIDATION SCIENTIST

San Antonio, TX · On-site

$40K - $50K/yr

... and Environmental Testing: Perform routine testing and report preparation for compressed air ... Analyze validation test data to determine if systems or processes successfully meet established ...

* Perform data validation and quality assurance on high-volume MAP Revenue data loaded into ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Database Management, or ...

New

next page

Showing results 1-20

Environmental Data Validation Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do environmental data validation scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for environmental data validation scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an environmental data validation scientist do?

An Environmental Data Validation Scientist reviews, verifies, and ensures the accuracy and reliability of environmental data collected during field investigations or laboratory analyses. They check data for completeness, consistency, and adherence to regulatory standards or project requirements. This role is vital for ensuring that environmental decisions and reports are based on high-quality, validated information, which can impact public health, safety, and environmental policies. They often work with data related to air, water, soil, or hazardous materials and may also help develop validation procedures and provide guidance for data collection teams.

What are the key skills and qualifications needed to thrive as an environmental data validation scientist?

To thrive as an Environmental Data Validation Scientist, you need expertise in environmental science, analytical chemistry, and data quality assurance, usually supported by a relevant degree such as environmental science or chemistry. Familiarity with environmental laboratory information management systems (LIMS), EPA data validation guidelines, and data analysis software like Excel or R is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for identifying data anomalies and collaborating with project stakeholders. These competencies ensure accurate, regulatory-compliant data that supports sound environmental decision-making and project outcomes.

What are the typical challenges an environmental data validation scientist faces when ensuring data accuracy and compliance?

Environmental Data Validation Scientists often encounter challenges related to data consistency, completeness, and regulatory compliance. They must meticulously review large datasets from various sources, identify anomalies or errors, and ensure that all data meets strict quality assurance standards set by regulatory agencies. Collaborating with field technicians, laboratory staff, and project managers is essential to resolve discrepancies and clarify data points. Staying updated on evolving environmental regulations and validation protocols is also critical to maintaining data integrity and supporting project goals.

What are popular job titles related to Environmental Data Validation Scientist jobs?

For Environmental Data Validation Scientist jobs, the most frequently searched job titles are:

Infographic showing various Environmental Data Validation Scientist job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Temporary. Highlights an 76% In-person, 7% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Environmental Data Scientist

Boulder, CO • On-site, Remote

Lynker Corporation
Scientific Research and Development Services • 201 - 500 employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

Responsibilities

Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.
Qualifications

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

  Employment Type: FULL_TIME