Full Stack Developer

Responsibilities

• Build, operate, and maintain ETL pipelines in AWS, leveraging Apache NiFi and Python.
• Work directly within AWS environments to deploy, configure, and support data pipeline components.
• Develop and integrate RESTful APIs to retrieve data from internal and external sources for ingestion.
• Implement data transformation, validation, and enrichment logic to support downstream use cases.
• Produce clean, consistent JSON data layers consumed by enterprise application developers.
• Support processing of high-volume, location-based and geospatial datasets.
• Monitor pipeline health, troubleshoot failures, and optimize performance in production.
• Collaborate with application developers, data engineers, and government stakeholders to ensure data products meet mission needs.
• Participate in Agile development activities including sprint planning, standups, demos, and retrospectives.
• Contribute to technical documentation, data architecture diagrams, and operational runbooks.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
• 3-6 years of professional software development or data engineering experience.
• Strong, hands-on experience building, deploying, and supporting production data workflows in AWS, with direct use of services such as S3, EC2, Lambda, and RDS.
• Hands-on experience building and maintaining ETL pipelines using Apache NiFi.
• Proficiency in Python for data processing and pipeline development.
• Experience working with REST APIs for data ingestion and integration.
• Experience producing structured data outputs such as JSON for downstream systems.
• Willingness to work onsite full time.
• Experience working with geospatial or high-volume location-based data.
• Familiarity with geospatial data formats or concepts (e.g., GeoJSON, spatial indexing).
• Experience optimizing AWS-based data pipelines for performance and reliability.
• Familiarity with containerized development workflows (Docker).
• Experience supporting mission-critical or production systems.
• Experience working in Agile or sprint-based development environments.
• The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually.
• For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
• Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all asp

Benefits

Additional Information

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 level with required polygraph. We are seeking a mid-level Full Stack Developer with a strong data engineering and backend focus to support the development and operation of cloud-based ETL pipelines for mission-critical geospatial and location-based data workflows. This role is hands-on and delivery-focused, emphasizing day-to-day development, operation, and optimization of data pipelines running in AWS environments. The ideal candidate is comfortable working in AWS, building and operating ETL workflows using Apache NiFi and Python, and delivering reliable, well-structured JSON data products for consumption by enterprise application development teams.

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