Geospatial Data

Geospatial Data Jobs

3 jobs found

Today

Senior Geospatial Data Engineer

Vantor Services Inc. McLean, VA

McLean, VA

Today

$137k - $200k/yr Full time Senior Analytics ArcGIS Enterprise

Apply Now

Job Description

Vantor Services Inc. is seeking a Senior Geospatial Data Engineer to support mission geospatial data curation and visualization, along with data processing and analytics. The role is based in McLean, VA (onsite) and focuses on delivering accurate, well-organized, and operationally usable geospatial products for mission users.

This position combines geospatial dataset management in ArcGIS Portal with automated data processing in Python and reporting via Tableau, helping stakeholders surface patterns, trends, anomalies, and other insights from large, diverse data sources. Eligibility depends on holding an active TS/SCI U.S. Government security clearance with polygraph and being a U.S. Citizen.

Responsibilities

Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal.
Ensure mission users have access to accurate, well-organized, current, and usable geospatial information.
Use Python, Tableau, ArcGIS, and related tools to process large datasets, automate workflows, prepare data for analysis, and build visual analytics products.
Partner with mission users to understand geospatial data needs, analytic questions, visualization requirements, and operational workflows.
Identify, acquire, clean, transform, validate, curate, and publish large geospatial and tabular datasets from diverse sources.
Develop Python scripts and tools to automate geospatial data processing, quality control, enrichment, transformation, and publication workflows.
Manage and update ArcGIS Portal content, including hosted feature layers, map services, web maps, dashboards, data hubs, and related geospatial products.
Build and maintain Tableau dashboards, reports, and analytic visualizations for the data processing office and mission stakeholders.
Apply cartographic design and usability practices such as symbology, labeling, layer management, metadata practices, and performance tuning.
Integrate structured, unstructured, tabular, and spatial datasets into cohesive analytical and visualization environments.
Support geospatial data library functions, including dataset organization, metadata creation, version management, quality control, discoverability, and lifecycle maintenance.
Develop documentation including data dictionaries, standard operating procedures, user guidance, and technical recommendations to support repeatable workflows.
Work independently across two office environments while collaborating with multidisciplinary teams and clearly communicating technical concepts to technical and non-technical audiences.

Requirements

Active TS/SCI security clearance with polygraph.
Bachelor’s degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
12+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
Strong Python experience for geospatial data processing, automation, transformation, analysis, and workflow improvement.
Demonstrated experience working with large geospatial datasets, including cleaning, formatting, joining, enriching, validating, and preparing data for analysis or publication.
Hands-on experience with ArcGIS Enterprise, ArcGIS Portal, or ArcGIS Online, including publishing and maintaining hosted feature layers, web maps, dashboards, and geospatial content.
Experience curating geospatial data holdings, including organizing datasets, maintaining metadata, improving discoverability, and ensuring data quality.
Experience developing dashboards, reports, or analytic visualizations in Tableau or a comparable BI platform.
Understanding of geospatial formats, projections, coordinate systems, spatial joins, geoprocessing workflows, cartographic principles, and spatial data management.
Experience with relational databases, preferably PostgreSQL/PostGIS, for storing, querying, and managing spatial or tabular data.
Strong analytical, problem-solving, communication, and customer engagement skills.
Proven ability to work independently with minimal guidance while coordinating effectively across teams, offices, and mission stakeholders.
Must be a U.S. Citizen.
Employment for cleared roles is contingent upon verification of clearance status, and applicants who do not currently hold the required clearance are not eligible for consideration.
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Technologies

Python, Tableau, ArcGIS, ArcGIS Enterprise, ArcGIS Portal, ArcGIS Online, ArcPy
GeoPandas, Shapely, Fiona, Rasterio, GDAL, QGIS
PostgreSQL, PostGIS, Elasticsearch, Kibana
Amazon S3, ArcGIS Hub, Jira, Confluence, DevOps

Benefits

Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance

Compensation

The base pay for this position within the Washington, DC metropolitan area is $137,000.00 - $182,000.00 - $200,200.00 annually.
For all other states, geographic cost of labor is used to develop market-driven ranges, so each location may have a different range.

View full job page →

6d ago

Program Data Scientist

Agency DEPARTMENT OF TRANSPORTATION New York, NY

New York, NY

6d ago

$110k - $142k/yr Full time Python Analytics Business Intelligence

Apply Now

Job Description

The Program Data Scientist will design and lead analytics for the Division of Traffic Operations’ traffic signal capital program, converting project, contract, and asset information into delivery insights that can be used by leadership. The role supports NYC Streets Plan transit priorities through applied research, Python and GIS, and a focus on rigorous data quality.

Key Responsibilities

Design and develop analytical systems that provide a unified view of a large portfolio of signal projects across stages of work, contracts, and contractors, ensuring each project remains accounted for.
Build and maintain data pipelines and analytical tools to ingest, clean, and join project, contract, and asset data from across the division.
Use GIS methods to analyze and map geographically distributed infrastructure, linking delivery information to the intersections New Yorkers use every day.
Develop metrics and analyses that show how projects progress through delivery, highlighting trends, bottlenecks, and risks early enough to support on-pace program delivery.
Assess data quality and analytical methods across the program, and coordinate with other division units to improve how delivery data is captured and applied.
Present findings and recommendations to division leadership, translating complex analysis into clear direction for a citywide program.

Required Education and Assignment Level

Assignment Level I: A master’s degree from an accredited college or university with a specialization in an appropriate field of physical, biological, environmental science, or public health.
Assignment Level II and above: Candidates must have one of the following:
- A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental, or social science, plus one year of full-time experience in a responsible supervisory, administrative, or research capacity in the appropriate field of specialization; or
- A master’s degree from an accredited college or university with specialization in an appropriate field of physi... (continuation not provided in the source data).

Probationary Period

Appointments to this position are subject to a minimum probationary period of one year.

Technologies

Python
GIS
ArcGIS
QGIS

Preferred Skills

Strong proficiency in Python for data analysis, pipeline building, and automation.
Experience with GIS tools and spatial analysis, including ArcGIS, QGIS, and geospatial Python libraries.
Experience designing analyses or data systems for tracking capital projects, infrastructure, or other complex operational programs.
Ability to communicate analytical findings clearly to non-technical and executive audiences.

Work Location and Schedule

Location: New York, NY (hybrid)
Office address: 34-02 Queens Blvd. LIC, NY 11101
Hours: 35 HRS/Mon-Fri/9am-5pm

Division and Unit

Division: Traffic Operations
Unit: Finance, Contracts and Innovation Unit

Salary

USD 109,565 - 142,112 per yearly.

Benefits and Remote Work

This position may be eligible for remote work up to 2 days per week under the City of New York Remote Work Pilot Program agreed to between the City and DC37.
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs (visit StudentAid.gov/PSLF/).

Additional Information

This position is open to qualified persons with a disability who are eligible for the 55-a program. Indicate in your resume or cover letter that you would like to be considered under the 55-a program.

Residency Requirement

New York City residency is generally required within 90 days of appointment.
City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County.
To determine whether the residency requirement applies, discuss with the agency representative at the time of interview.

View full job page →

9d ago

Environmental Data Scientist

Lynker Corporation Boulder, CO

Boulder, CO

9d ago

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

Apply Now

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

View full job page →

Geospatial Data Jobs

Senior Geospatial Data Engineer

Program Data Scientist

Environmental Data Scientist

Get Geospatial Data Jobs alerts