Job Requirements
Herndon, VA
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• 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.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 8+ years
• Total Compensation: $320k+ yearly (tentative)
Job Description:
• 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.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• 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.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 8+ years
• Total Compensation: $320k+ yearly (tentative)
Job Description:
• 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.
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119