Senior Backend Developer, Data Platform

Vantor Services•Reston, VA

10d•Hybrid

About The Position

Vantor is seeking an experienced Senior Backend Developer/ Engineer to join their hybrid agile team. This role will focus on building and scaling a data platform and pipelines to support Intelligence Community AI efforts. The team is a sleek and modern software development team building mission-critical applications with real-world impact for the Intelligence Community. This position requires an active U.S. Government Security Clearance at the TS/SCI level with CI polygraph. The role is hybrid, requiring a mix of work from home and onsite work at the customer’s office in Reston, VA. This position requires U.S. person status due to export control laws.

Requirements

10 + years of professional software engineering experience, with strong backend development skills.
Strong proficiency in Python.
Experience building backend systems, APIs, or distributed services in production environments.
PostgreSQL and Elasticsearch proficiency.
Familiarity with AWS, especially S3, RDS, and other data-centric services.
Current/active TS/SCI with a current CI polygraph or be willing and able to obtain a CI polygraph.
Bachelor's degree in a related field, e.g. Computer Science, Systems Engineering or equivalent experience.
Understanding of software engineering fundamentals including testing, version control, CI/CD, and system design.
Tenacious troubleshooting, problem solving and error fixing mentality.
Strong communication and collaboration skills, ability to work, collaborate and thrive on a small technical team.
U.S. Citizen.

Nice To Haves

Experience working with data platforms, data pipelines, ETL/ELT workflows, or large-scale data processing systems.
Gitlab and Gitlab CI experience.
Openshift and Helm experience.
Docker and containerization experience.
DoD 8570 IAT II and Privileged User Access requirements met (Security+, CySA+, CCNA Security, GICSP, GSEC, SSCP).

Responsibilities

Design, build, and own backend services and platform components for a modern data architecture and pipelines.
Make high-impact technical decisions around architecture, data modeling and system integration.
Build integrations with internal and external data sources, APIs, and event streams.
Partner with data engineering, analytics, and product managers to define scalable data models and platform capabilities.
Improve reliability, observability, and performance of data workflows and backend services.
Implement best practices for testing, monitoring, logging, and deployment.
Contribute to architecture decisions around storage, orchestration, metadata management, and access patterns.
Help establish engineering standards for code quality, documentation, CI/CD, and operational excellence.
Troubleshoot and debug production systems.