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Vantor

Full Stack Developer

Reposted 14 Days Ago
In-Office
McLean, VA
113K-188K Annually
Mid level
In-Office
McLean, VA
113K-188K Annually
Mid level
Develop and maintain cloud-based ETL pipelines using AWS and Apache NiFi, focusing on data engineering and backend operations for geospatial data.
The summary above was generated by AI

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.

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.

Minimum Qualifications:

  • 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.

Preferred Qualifications:

  • 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.

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

 ● 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 aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Top Skills

Apache Nifi
AWS
Docker
JSON
Python
Rest Apis

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