Parsons Corporation
Data Engineer
Parsons is looking for an amazingly talented Data Engineer to join our team! In this role you will get to architect, build, and maintain scalable data pipelines within Palantir Maven Smart Systems, ensuring intelligence data is reliable, secure, and optimized to support AI/ML workflows and the J2's warning problem management mission. What You'll Be Doing: Architect, design, and maintain scalable data pipelines and integrations to support AI/ML initiatives and intelligence workflows Build, optimize, and manage data ingestion processes for structured, semi-structured, and unstructured intelligence datasets Implement ETL/ELT frameworks to support model training, testing, and deployment in classified environments Ensure data quality, governance, lineage, and security compliance within J2's AI/ML workflows Collaborate with data scientists and analysts to provision clean, reliable datasets optimized for machine learning and operational intelligence tasks Lead technical integration of Palantir Foundry data assets with Maven AI/ML services Troubleshoot performance issues and implement improvements in data access, storage efficiency, and pipeline scalability Provide mentorship and guidance to junior data engineers, setting best practices for coding, architecture, and pipeline design What Required Skills You'll Bring: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field 8+ years of experience in data engineering, big data frameworks, or enterprise data integration Hands-on experience with Palantir Foundry, Maven Smart Systems, and similar enterprise-scale platforms Demonstrated expertise with ETL/ELT development, data pipeline architecture, and large-scale data ingestion Proficiency in SQL and Python, with hands-on experience in distributed data frameworks (e.g., Apache Spark) Experience working with structured, semi-structured, and unstructured data sources Strong understanding of data governance, security, and metadata management in secure or classified environments Active DoD Top Secret/SCI with CI Poly at the time of hire What Desired Skills You'll Bring: Advanced degree in Computer Science, Information Systems, Data Science, or related discipline 10-12 years of progressive data engineering experience supporting AI/ML or intelligence systems Hands-on experience with Palantir Foundry, Maven Smart Systems, and similar enterprise-scale platforms Experience with cloud services (Azure, AWS, or GCP) and containerized environments (Kubernetes, Docker) Familiarity with MLOps, model lifecycle support, and AI/ML data pipeline optimization Experience integrating intelligence community (IC) and DoD data sources into enterprise platforms Demonstrated ability to lead teams, mentor junior engineers, and serve as a technical SME in data architecture Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position.
Parsons is looking for an amazingly talented Data Engineer to join our team! In this role you will get to architect, build, and maintain scalable data pipelines within Palantir Maven Smart Systems, ensuring intelligence data is reliable, secure, and optimized to support AI/ML workflows and the J2's warning problem management mission. What You'll Be Doing: Architect, design, and maintain scalable data pipelines and integrations to support AI/ML initiatives and intelligence workflows Build, optimize, and manage data ingestion processes for structured, semi-structured, and unstructured intelligence datasets Implement ETL/ELT frameworks to support model training, testing, and deployment in classified environments Ensure data quality, governance, lineage, and security compliance within J2's AI/ML workflows Collaborate with data scientists and analysts to provision clean, reliable datasets optimized for machine learning and operational intelligence tasks Lead technical integration of Palantir Foundry data assets with Maven AI/ML services Troubleshoot performance issues and implement improvements in data access, storage efficiency, and pipeline scalability Provide mentorship and guidance to junior data engineers, setting best practices for coding, architecture, and pipeline design What Required Skills You'll Bring: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related technical field 8+ years of experience in data engineering, big data frameworks, or enterprise data integration Hands-on experience with Palantir Foundry, Maven Smart Systems, and similar enterprise-scale platforms Demonstrated expertise with ETL/ELT development, data pipeline architecture, and large-scale data ingestion Proficiency in SQL and Python, with hands-on experience in distributed data frameworks (e.g., Apache Spark) Experience working with structured, semi-structured, and unstructured data sources Strong understanding of data governance, security, and metadata management in secure or classified environments Active DoD Top Secret/SCI with CI Poly at the time of hire What Desired Skills You'll Bring: Advanced degree in Computer Science, Information Systems, Data Science, or related discipline 10-12 years of progressive data engineering experience supporting AI/ML or intelligence systems Hands-on experience with Palantir Foundry, Maven Smart Systems, and similar enterprise-scale platforms Experience with cloud services (Azure, AWS, or GCP) and containerized environments (Kubernetes, Docker) Familiarity with MLOps, model lifecycle support, and AI/ML data pipeline optimization Experience integrating intelligence community (IC) and DoD data sources into enterprise platforms Demonstrated ability to lead teams, mentor junior engineers, and serve as a technical SME in data architecture Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position.