Environmental Data Jobs

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1d ago

Environmental Data Scientist

Lynker Corporation Boulder, CO

Boulder, CO

1d ago

$75k - $105k/yr Full time Climate Data Data Analysis Data Architecture

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Job Description

Lynker Corporation is hiring an Environmental Data Scientist in Boulder, CO (onsite) to build reproducible environmental and geospatial data products that support operational weather forecasts.

Responsibilities

Organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, including clear provenance for repeatable combinations.
Contribute to defining how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
Specify analytical inputs and outputs (data, results, and metadata), define schemas for them, and define how those schemas evolve over time.
Apply environmental and hydrologic domain knowledge to determine how data is weighted, interpreted, and encoded into rules.
Develop checks, test cases, and validation logic to ensure rules produce correct, explainable, and consistent outcomes.
Document data schemas, analytical logic, and data sources; collaborate across Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.

Requirements

Master’s degree in environmental science or a related field (environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science), or a Bachelor’s plus 2 years applying data science to environmental problems, or equivalent hands-on experience.
Strong environmental and data science background, including 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.
Working knowledge of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
Comfort with structural thinking about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
Strong technical and scientific writing skills.

Technologies

R, Python
ArcGIS, QGIS
Google Earth Engine
GIS tooling
USGS, NOAA, PRISM

Benefits

Comprehensive healthcare for the employee at no monthly cost
Healthcare 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)
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

Ideal Background

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 approaches for making 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.

Location: Boulder, CO (onsite)

Experience: 2+ years

Salary: USD 75,000 - 105,000 per year

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