V

Vantor

AI-powered multi-source geospatial intelligence platform

Junior Data Engineer

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

About the Job

Requirements

  • Must be a U.S. citizen with an active TS/SCI clearance and willingness to obtain a counterintelligence polygraph.
  • Must have a bachelor's degree in computer science, information systems, data science, engineering, or a related technical field, and 1–4 years of relevant experience in data engineering, software development, analytics, database administration, or a related technical field; relevant internships or project experience may be considered.
  • Must have demonstrated experience in data engineering, software development, database engineering, or a related technical discipline.
  • Must have working proficiency in Python and SQL and/or Elastic, including experience developing scripts, data transformations, and automated data-processing workflows.
  • Must have experience with relational databases or distributed data-processing technologies, and a basic understanding of data modeling, ETL/ELT processes, and data integration.
  • Must be willing to work onsite at least 90% of the time, or as needs dictate.

Responsibilities

  • Develop, maintain, and troubleshoot data-ingestion, transformation, and integration pipelines for large-scale data analytics.
  • Support the integration and processing of structured, semi-structured, and unstructured data from diverse sources using distributed data-processing technologies.
  • Assist with deployment, configuration, monitoring, and optimization of data-engineering components in cloud-based, on-premises, or hybrid environments.
  • Implement data validation, quality assurance, and monitoring processes to ensure data accuracy, consistency, availability, and processing efficiency.
  • Work with data scientists, analysts, software engineers, and government stakeholders to translate data requirements into technical solutions; document workflows, processes, and technical designs.

Desired Qualifications

  • Experience with data-engineering platforms and tools such as Apache NiFi, Elasticsearch, PostgreSQL, or OpenShift.
  • Experience with distributed data platforms such as Spark, Hadoop, Kafka, or Hive.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with containers and orchestration using Docker and Kubernetes.
  • Experience with data-workflow tools such as Apache Airflow.
  • Experience with CI/CD, Git, DevSecOps, or automated testing.
  • Experience with data governance, metadata, lineage, or security.
  • Experience in government, defense, intelligence, or other regulated environments.

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

Recently Posted Jobs

Explore more opportunities at Vantor

See more jobs