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Vantor

AI-powered multi-source geospatial intelligence platform

ETL Engineer / Data Scientist - TS/SCI

Data EngineeringConfirmed live in the last 24 hours
Full-timeHerndon, VA, USA

About the Job

Requirements

  • Current active Top Secret/Sensitive Compartmented Information security clearance and willingness and ability to obtain a counterintelligence polygraph.
  • A bachelor's degree in computer science, data science, engineering, information systems, or a related field, or equivalent professional experience.
  • Strong working knowledge of Python for data processing, automation, or application development.
  • Experience building or supporting ETL workflows and data pipelines.
  • Experience with Apache NiFi or a comparable workflow orchestration tool.
  • Experience writing shell scripts for batch processing or system automation.
  • Experience integrating systems through APIs and handling data exchanges.
  • Familiarity with continuous integration/continuous delivery pipelines and automated software delivery practices.
  • Experience working with Kubernetes or containerized workloads.
  • Working knowledge of Linux system administration.
  • Experience using Git for version control and team development.
  • Strong troubleshooting and analytical skills, including investigating pipeline failures and data quality issues.
  • Strong written and verbal communication skills and the ability to work effectively on a multidisciplinary team.

Responsibilities

  • Design, develop, and maintain ETL workflows to ingest, transform, validate, and deliver data from multiple sources.
  • Build and support automated data pipelines using Python, Apache NiFi, shell scripts, and related tools.
  • Integrate systems and services using APIs, including developing and troubleshooting API calls and data exchanges.
  • Develop batch processing scripts and workflows to support scheduled data movement and transformation.
  • Apply data science techniques to explore, prepare, and analyze data in support of mission and customer needs.
  • Collaborate with data scientists, software developers, platform engineers, and stakeholders to define data requirements and deliver usable data products.
  • Deploy and support data services and workloads in Kubernetes-based environments.
  • Support continuous integration/continuous delivery pipelines and automated testing for data workflows and related software.
  • Use Git and Bitbucket for source control, code review, and team collaboration.
  • Perform Linux system administration tasks related to data processing, pipeline operations, and application support.
  • Monitor pipeline execution, investigate failures, resolve data quality issues, and improve reliability and performance.
  • Create and maintain technical documentation, workflow definitions, operational procedures, and troubleshooting guidance.
  • Participate in agile ceremonies, backlog refinement, sprint planning, and technical reviews.
  • Follow security and data-handling requirements for secure mission environments.

Desired Qualifications

  • Experience with OpenSearch, Grafana, or Prometheus for search, monitoring, logging, or observability.
  • Familiarity with Jira for agile planning and work tracking.
  • Experience working with S3 or S3-compatible object storage.
  • Experience with Ansible for configuration management or automation.
  • Experience building or operating Docker containers.
  • Experience supporting data science, analytics, or machine-learning workflows.
  • Experience working in secure, disconnected, classified, or other restricted environments.
  • Experience in the Department of Defense or Intelligence Community.

About the Company

Vantor

AI-powered multi-source geospatial intelligence platform

Vantor provides an AI-powered spatial intelligence platform that creates a real-time, unified picture from space, air, and ground sensors. Its Tensorglobe data engine fuses satellite imagery, drone feeds, and ground sensors to build a living 3D digital Earth and automates the entire intelligence cycle from tasking to analysis. Key products include WorldView for high-resolution imagery tasking, Raptor for GPS-denied navigation, and Sentry for automated site monitoring. Unlike competitors that mainly sell raw imagery, Vantor offers an integrated, subscription-based geospatial workflow and digital twin as a service, helping defense, intelligence, and commercial customers make faster, more informed decisions through a shared AI-ready view of the world.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Juan, Puerto Rico
Founded
1957

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