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Enterprise Data Engineer with Security Clearance
Pinnacle Government Solutions LLCChantilly, VA🇺🇸United StatesPosted 13 Jul 2026
Quick Overview
Work Type
On Site
Schedule
Employee
Level
Mid Senior
Job Description
Pinnacle Government Solutions is a minority-owned small business that provides Software, AI/ML, and Cloud Engineering Solutions for our Department of Defense, Intelligence Community, and Federal Civilian agencies. We bring SME-level expertise and over five decades of combined industry knowledge and Talent Acquisition experience. We believe in getting it right for our customers and our country. We are seeking a skilled and detail-oriented Data Engineer with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes. Key Responsibilities:
· Write robust and efficient Python and SQL scripts to automate data processing tasks.
· Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
· Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
· Ensure data structures are optimized for performance and scalability.
· Provide technical guidance and support to ensure effective use of Palantir tools across teams.
· Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
· Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
· Ensure proper data transformation and curation to meet business and analytics requirements.
· Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes. Required Skills:
· 3+ years of experience in data engineering.
· Strong proficiency in scripting and programming with Python.
· Expertise in working with SQL for data querying, transformation, and optimization.
· Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
· Strong analytical and problem-solving skills with attention to detail.
· Excellent communication and teamwork skills to collaborate with technical and business teams.
· Active TS/SCI FSP is required to start. Role is FT on-site in Herndon, VA. Preferred Skills:
· Bachelor’s degree in Computer Science, Data Engineering, or a related field.
· Hands-on experience with Palantir.
· Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
· Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.
· Write robust and efficient Python and SQL scripts to automate data processing tasks.
· Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
· Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
· Ensure data structures are optimized for performance and scalability.
· Provide technical guidance and support to ensure effective use of Palantir tools across teams.
· Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
· Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
· Ensure proper data transformation and curation to meet business and analytics requirements.
· Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes. Required Skills:
· 3+ years of experience in data engineering.
· Strong proficiency in scripting and programming with Python.
· Expertise in working with SQL for data querying, transformation, and optimization.
· Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
· Strong analytical and problem-solving skills with attention to detail.
· Excellent communication and teamwork skills to collaborate with technical and business teams.
· Active TS/SCI FSP is required to start. Role is FT on-site in Herndon, VA. Preferred Skills:
· Bachelor’s degree in Computer Science, Data Engineering, or a related field.
· Hands-on experience with Palantir.
· Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
· Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.
Skills
GCP
SQL
AWS
ETL
Airflow
Apache
Apache Spark
Azure
Hadoop
Python
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