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# Mid-Level Python Software Engineer [$320k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Herndon, VA, United States
- **Experience:** Experienced
- **Salary:** $320,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Continuous Integration, Data Validation, Data Integrity, Extract Transform Load (ETL), Data Transformation, DevOps, Python (Programming Language), Data Streaming, Data Logging, Data Processing, Palantir Foundry, Apache Spark, Reliability of Systems, Pyspark, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9263636/mid-level-python-software-engineer-320kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $320k+ yearly (tentative)

## Description

* Integrate custom ETL workflows and conditioners within the Palantir Foundry ecosystem to enhance data conditioning and observability.
 * Design and implement scalable data transformation pipelines utilizing Python and PySpark.
 * Harness artificial intelligence and machine learning to optimize and accelerate data processing on large datasets.
 * Support platform deployment and operational health using DevOps practices while maintaining data ontology, governance, logging, and monitoring frameworks., * Connect custom ETL conditioners to Palantir tooling to improve stakeholder observability across transformation phases.
 * Design, develop, and maintain high-performance data pipelines utilizing Python, Apache Spark, and PySpark.
 * Leverage AI techniques to streamline processing and boost efficiency across complex data flows.
 * Implement and maintain data ontology models, governance standards, and data validation routines for advanced analytics integration.
 * Apply DevOps best practices to manage platform deployment, CI/CD processes, and system operations.
 * Build and monitor comprehensive logging frameworks to ensure data integrity, system reliability, and pipeline performance.