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  • Emplois similaires à : Senior Geospatial Data Engineer (TS/SCI with FS Poly)
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Senior Geospatial Data EngineerVantor Inc. • Virginia, Minnesota, United States
Postuler Maintenant
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Senior Geospatial Data Engineer

Vantor Inc.
  • US
    Virginia, Minnesota, United States
  • US
    Virginia, Minnesota, United States
Postuler Maintenant

À propos

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go‑getters where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can shape your own future, build the next big thing, and change the world.
Eligibility Applicants must be U.S. Citizens and hold an active U.S. Government security clearance at the TS/SCI level with required Polygraph. 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).
Build Mission‑Critical Geospatial Data and Analytics Capabilities This role is built for a cleared geospatial technologist who can bridge two mission offices: one focused on geospatial data curation, ArcGIS Portal products, and operational visualization; the other focused on data processing, analytics, and Tableau‑driven reporting.
Responsibilities What You’ll Work On Geospatial Data Curation, Portal, and Visualization 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.
Data Processing, Analytics, and Tableau Reporting Use Python, Tableau, ArcGIS, and related tools to process large datasets, automate workflows, prepare data for analysis, and build visual analytics products that reveal patterns, trends, anomalies, and operationally relevant insights.
What You’ll Do 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 used by the data processing office and mission stakeholders.
Apply sound cartographic design, symbology, labeling, layer management, metadata practices, and performance tuning to improve the usability of geospatial products.
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, data dictionaries, standard operating procedures, user guidance, and technical recommendations that support repeatable data management and visualization workflows.
Work independently across two office environments while collaborating with multidisciplinary teams and communicating technical concepts clearly to both technical and non‑technical audiences.
Minimum Qualifications
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 business intelligence platform.
Understanding of geospatial data 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.
Preferred Qualifications
Advanced Tableau experience, including dashboard development, calculated fields, filters, data preparation, publishing, and maintaining products for operational users.
Experience with ArcGIS Pro, ArcPy, GeoPandas, Shapely, Fiona, Rasterio, GDAL, QGIS, or similar geospatial tools and libraries.
Experience building repeatable data pipelines for geospatial data ingestion, processing, validation, and publication.
Experience with cloud‑hosted datasets, Amazon S3, ArcGIS Hub‑style environments, or secure integrations between enterprise data repositories and ArcGIS Portal.
Experience with PostgreSQL/PostGIS performance tuning, spatial indexing, and geospatial query optimization.
Experience with Elasticsearch, Kibana, or similar search, analytics, and visualization tools.
Familiarity with data governance, data stewardship, metadata standards, data quality, Agile practices, Jira, Confluence, DevOps principles, version control, or containerized workflows.
Background in spatial statistics, predictive analytics, machine learning, or advanced geospatial modeling.
Pay Transparency To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role.
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, we use geographic cost of labor as an input to develop market‑driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. More information on our benefits can be found at https://www.Vantor.com/careers
EEO Policy Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
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  • Virginia, Minnesota, United States

Compétences linguistiques

  • English
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