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GRVTY

RF signature collection for defense

ETL Developer

Data EngineeringPosted on Nov 10
Full-timeMcLean, VA, USA$150k - $250kIn-person

About the Job

Requirements

  • Active Top Secret/Sensitive Compartmented Information clearance with polygraph.
  • A bachelor's degree in Computer Science, Systems Engineering, Geography, or a related technical field, or equivalent experience.
  • At least 8 years of experience with a bachelor's degree, 7 years with a master's degree, or 6 years with a doctorate.
  • Experience developing Apache NiFi flows using existing best practices.
  • Strong understanding of ETL concepts and best practices.
  • Strong experience with databases for data management.
  • Proficiency in SQL for querying large datasets.
  • Experience with API integration and data retrieval.
  • Demonstrated experience with programmatic data manipulation.
  • Ability to rapidly adopt containerized development proficiency.
  • Ability to rapidly adopt AWS architecture proficiency.
  • Ability to rapidly adopt NiFi Registry and Git for code management.

Responsibilities

  • Design, develop, and manage ETL workflows using Apache NiFi to support a geospatial visualization platform.
  • Learn the existing NiFi system and related AWS and PostgreSQL infrastructure to monitor and troubleshoot real-time issues.
  • Understand existing NiFi flows with minimal support from others.
  • Develop new NiFi flows that follow the best practices of existing flows.
  • Incorporate feedback and make requested changes to NiFi flows.
  • Take direction and communicate status through a ticketing system.
  • Meet with analysts by email, chat, and in person to understand future data-flow needs and refine general requirements into specific actions.
  • Work within a development cycle using a local development environment with containerized infrastructure and version control through Git and NiFi Registry.
  • Build competency in geospatial database design and apply best practices for table creation, indexing, and unique constraints.
  • Incorporate analyst feedback on nuances supporting application data layers.
  • Programmatically manipulate and transform data from multiple sources.
  • Query and analyze large datasets using SQL.
  • Retrieve and process data from external systems through APIs.
  • Support data quality, integrity, and performance optimization efforts.
  • Understand Python and data science frameworks, distinguishing experimental prototypes from enterprise-level software requirements.
  • Develop Python to support data-science efforts or ETL prototypes.

Desired Qualifications

  • Experiment with and recommend coding best-practice improvements.
  • Adopt and recommend AI in development processes.
  • Design and develop custom NiFi processors using Java.
  • Use AWS cloud services for data ingestion and processing.
  • Manage data using PostgreSQL.
  • Use Apache Airflow.
  • Use Apache NiFi.
  • Use NiFi Registry and Git.
  • Use Git repository actions and pull requests.
  • Use Python for data manipulation and API interfacing.
  • Work with geospatial data and related tools.
  • Understand basic data-science concepts and tools.

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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