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Why this grade
This listing scored 39/100, which is an F. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
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 Data Analyst I to join our growing team.
Responsibilities
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.
Qualifications
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.
The Ideal Data Analyst I will have the following:
- 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.
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.
Originally posted on Himalayas
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Where this listing came from
- 16 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.