Data Analyst I — Geospatial and Water Resources

About the role

The Data Analyst I – Geospatial and Water Resources role supports Lynker’s hydro‑climatology team by acquiring, cleaning and integrating national‑scale geospatial and hydrologic datasets, developing repeatable Python and SQL processing pipelines, performing QA/QC, generating maps, tables and reports for technical memoranda and client meetings, maintaining metadata and cloud‑ready data formats, and coordinating data standards with partner analysts.

About the company

Lynker is a growing, employee‑owned science, engineering and technology firm that delivers innovative solutions for global environmental security and economic prosperity. It provides professional, scientific and technical services in weather and climate science, hydro‑climatology, geospatial analysis, water resources, IT, conservation and business process improvement, serving governments, communities and industry.

Requirements

• Bachelor's degree in data science, statistics, computer science, geography, GIS, environmental science, hydrology, engineering or related quantitative field; a master's may substitute for experience
• 0–2 years of professional or internship experience in data analysis, data engineering, or software development
• Working proficiency in Python for data work, including pandas, with ability to learn new libraries quickly
• Proficiency with SQL and relational databases
• Familiarity with Git and collaborative code review
• Demonstrated experience delivering a technical task from raw data to documented result via coursework, capstone, internship or open‑source work
• Clear technical writing ability to explain methods, limitations and results to non‑specialist reviewers
• U.S. citizenship and ability to pass a federal background investigation
• Experience with Python geospatial libraries (geopandas, rasterio, xarray, shapely) or willingness to learn quickly
• Exposure to ArcGIS Pro, QGIS, or PostGIS
• Familiarity with national public datasets such as NHD/NHDPlus HR, National Wetlands Inventory, SSURGO/gSSURGO, 3DEP, or NLCD
• R for statistical analysis and reporting
• Machine learning coursework or project experience, especially image segmentation, classification, or training‑data curation
• Experience building ETL workflows on AWS, including S3 and automated pipelines
• Awareness of Clean Water Act aquatic resource jurisdiction, wetland delineation, or environmental permitting data
• Prior exposure to federal contract work and government‑reviewed deliverables