ETL Developer

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI clearance with required Polygraph.

We are seeking an experienced ETL Developer to provide onsite support for a geospatial visualization platform. This role focuses on developing, maintaining, and optimizing data pipelines to ensure reliable data flow into a PostgreSQL database. The ideal candidate will have strong experience in ETL processes, data integration, and working with large, complex datasets, including geospatial data.

Responsibilities:

• Design, develop and manage ETL workflows using Apache NiFi to support a geospatial visualization platform
• Learn the nuances of the existing NiFi system and the related AWS and PostgreSQL infrastructure in order to monitor and troubleshoot real time issues
• Obtain an understanding of existing NiFi flows with minimal support from others
• Develop new NiFi flows that adopt best practices of existing NiFi flows
• Take feedback on NiFi flows and develop requested changes
• Take direction and communicate status via a ticketing system
• Interface with analysts via email, chat, and in person meetings to comprehend future data flow needs and refine general requirements into specific actions
• Interface with a development cycle using a local development environment of containerized infrastructure and version control via Git and NiFi Registry
• Gain competency in geospatial database design and employ best practices for table creation, indexing, and unique constraints
• Take feedback from analysts on nuances to support 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 via APIs