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GRVTY

RF signature collection for defense

Data Scientist

Data EngineeringConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA$150k - $250k

About the Job

Requirements

  • Demonstrated experience using big data processing technologies such as Spark, PySpark, and Python.
  • Demonstrated experience with data mapping, extraction, transformation, and loading.
  • Demonstrated experience building analytic reports using tools such as CloudWatch and Kibana.
  • Demonstrated experience processing and converting operating-system and data logs into reports and metrics dashboards.
  • Demonstrated experience with regular expressions.
  • Demonstrated experience with SQL, MySQL, and PostgreSQL.
  • Demonstrated experience processing XML and JSON data files.
  • Demonstrated experience with integrated development environments and data modeling through notebooks and Visual Studio.
  • Demonstrated experience ETL-ing data from disparate structured and unstructured formats into enriched, query-friendly structured data in indexed files.
  • Demonstrated experience performing extensive data review and data quality analysis.
  • Demonstrated experience developing ETL design documentation, including source and target mapping and data dictionary information.
  • Demonstrated experience interfacing with customers and integration partners to gain and clarify detailed objectives.
  • Demonstrated experience supporting Agile development by contributing to task definition, scope, and review.
  • Must have an active TS/SCI clearance with polygraph.

Responsibilities

  • Support the customer with requirements for new system capabilities, extension and maintenance of a bulk data pipeline, and enhancements for multiple applications in the customer's cloud computing environment.

Desired Qualifications

  • Demonstrated experience deploying capabilities on the Databricks unified analytics platform.
  • Demonstrated experience with Elastic MapReduce for running big data workloads.
  • Demonstrated experience joining multiple complex data sets using Spark.
  • Demonstrated experience tuning Spark streaming and batch jobs for cluster utilization and speed.
  • Demonstrated experience deploying complex, notebook-based pipelines.
  • Demonstrated experience with Python data analysis libraries such as Pandas.
  • Demonstrated experience using cloud services such as Lambda, SNS/SQS, or EC2.
  • Demonstrated experience with DevOps tools including CloudWatch, Lambda, SQS, DynamoDB, and RDS.
  • Demonstrated experience working with Elastic, Elasticsearch, Logstash, and Kibana (ELK stack).

About the Company

GRVTY

RF signature collection for defense

GRVTY develops tools for national security by collecting real-time RF signatures and delivering situational awareness for defense operations. Its flagship product, SPEAR (Special Purpose Environmental Activity Recorder), is a compact, cost‑effective device that can be quickly deployed to gather radio-frequency signals in both land and maritime environments. The data from SPEAR feeds into comprehensive data platforms that turn raw RF signals into actionable insights for asset management and command decisions. Compared with other defense vendors, GRVTY emphasizes rapid field deployment, portability, and a tight integration between hardware for RF data collection and software platforms for analysis, enabling users to maintain a strategic edge in volatile, globally influenced threats. The company aims to help defense clients monitor, understand, and respond to evolving risks by providing reliable RF intelligence and platforms that support real-time decision making.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
McLean, VA
Founded
2024

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