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IG
Insight Global, Inc.
Data Engineer
Career Insights for Data Engineer
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Based on Virginia data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$111,628 / year median in Virginia
+6% projected growth
Job Description
Job Requirements Falls Church, VA Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph Senior Level Career (10+ yrs experience) $180,000
- $240,000 Job Description Day to
Day:
- 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:
- 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.