Note: The job is a remote job and is open to candidates in USA. Lynker Corporation is an employee-owned provider of scientific and technical services focused on weather and climate science, hydrology, geospatial analysis, and related fields. The Data Analyst I will acquire, process, validate, and document large-scale geospatial and hydrologic datasets while producing analyses, visualizations, and technical deliverables. The role also involves maintaining reproducible data workflows and coordinating with partner analysts and developers.
Responsibilities
- Acquire, clean, and integrate national-scale geospatial and hydrologic datasets, including surface water hydrography, wetlands inventories, soils, terrain, land cover, and gaged streamflow and precipitation records
- Write and maintain repeatable data processing scripts in Python and SQL, under version control, with documented inputs, parameters, and outputs
- Run QA/QC checks on derived geospatial products and model outputs; find spatial and attribute errors, quantify how widespread they are, and escalate what you can't resolve
- Assemble validation and reference datasets from field-verified and independently mapped sources, and produce accuracy summaries (confusion matrices, error rates by class and by region) using methods defined by the technical lead
- Produce the tables, figures, maps, and summary statistics that go into technical memoranda, monthly reports, and client review meetings
- Maintain metadata, data dictionaries, and versioned data releases sufficient for a government client to reproduce results independently
- Work with cloud storage and analysis-ready formats (S3, GeoParquet, cloud-optimized GeoTIFF, Zarr) to keep large datasets usable by the broader team
- Coordinate day to day with partner-organization analysts and developers on shared data standards and hand-offs
Skills
- Bachelor's degree in data science, statistics, computer science, geography, GIS, environmental science, hydrology, engineering, or a related quantitative field. A master's degree in a relevant field 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, plus the ability to pick up new libraries quickly
- Proficiency with SQL and relational databases
- Familiarity with Git and collaborative code review
- Demonstrated experience carrying a technical task from raw data to a finished, documented result — coursework, capstone, internship, or open-source work all count
- Clear technical writing: the ability to explain a method, a limitation, and a result in plain language to a non-specialist reviewer
- Must be a U.S. citizen and able to pass a federal background investigation for facility and system access
- Experience with Python geospatial libraries (geopandas, rasterio, xarray, shapely) or willingness to learn them quickly on the job
- 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, particularly 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
Benefits
- Remote work arrangement
- 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
- 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
Company Overview