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# Mid-Level Python Software Engineer [$348k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Salary:** $348,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), DevOps, Elasticsearch, Data Flow Control, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, Scrum Methodology, Unstructured Data, Data Processing, Delivery Pipeline, Git, Containerization, Kubernetes, Apache Nifi, Data Pipelines, Docker, Vulnerability Analysis, Golang, Microservices
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277181/mid-level-python-software-engineer-348kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 13+ years
 * Total Compensation: $348k+ yearly (tentative)

## Description

* Develop and maintain data exploitation platforms that support and enhance data collection operations.
 * Ingest, transform, model, and store structured, semi-structured, and unstructured data in modern cloud environments.
 * Utilize automated pipelines and multi-language development to streamline complex data processing tasks., * Design, develop, and maintain robust data exploitation and dataflow platforms to support mission collection processes.
 * Implement scalable data processing solutions using Python, Java, Go, C#, or Scala.
 * Integrate, query, and manage relational and NoSQL databases including PostgreSQL, MySQL, MongoDB, and Elasticsearch.
 * Deploy, containerize, and orchestrate microservices using Docker, Kubernetes, AWS, and Microsoft Azure.
 * Configure and manage automated data ingestion pipelines utilizing tools such as Apache NiFi.
 * Perform requirements analysis, vulnerability assessment, and integrate machine learning/artificial intelligence capabilities.
 * Collaborate actively in an Agile/Scrum team environment utilizing Git and DevOps best practices.