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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst I Geospatial and Water Resources - **Company:** Lynker Technologies - **Location:** Boulder, CO, United States - **Experience:** Starter - **Salary:** $70,000.0 - **Contract:** Internship / Graduate position - **Skills:** Geographic Information Systems, Amazon Web Services, Amazon S3, Data Analysis, ArcGIS (Software), Big Data, Cloud Storage, Code Review, Data Dictionary, Information Engineering, Extract Transform Load (ETL), Data Sharing, Relational Databases, Python (Programming Language), Machine Learning, Open Source Technology, PostGIS, Quantum GIS (QGIS), Raw Data, Software Engineering, SQL Databases, Data Processing, Delivery Pipeline, Git, Pandas, Information Technology, Software Version Control - **Published:** August 13, 2026 - **Apply:** https://www.disabledperson.com/jobs/74230214-data-analyst-i-geospatial-and-water-resources ## About the Role As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Data Analyst I to join our growing team., The Data Analyst I selected should have the following: * 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. ## Description Duties of the Data Anaylst Iwill include the following: * 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. ## Related Videos - [Tracking vehicles at scale](https://www.wearedevelopers.com/videos/1999-tracking-vehicles-at-scale) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers)