Active secret clearance SR. BIG DATA ENGINEER

Project Overview

The DLA Procurement Integrated Enterprise Environment (PIEE) Development and Sustainment program supports modernization, enhancement, and sustainment of a mission-critical defense procurement and payment platform comprising approximately 34 applications.

The program focuses on enterprise software modernization, legacy-code refactoring, Agile/DevSecOps delivery, AWS GovCloud operations, CI/CD automation, cybersecurity, AI/ML integration, automated testing, and improved system performance and user experience.

Responsibilities

• Responsible for the engineering of big data solutions and multi-tiered data environments.
• Leads initiatives utilizing big data solutions to provide actionable insights for addressing strategic and tactical mission objectives.
• Designs data models using Enterprise Data modeling tools (ERwin, Visio).
• Builds high-performance algorithms, prototypes, and data models using required programing languages (e.g., Python, C/C++, Java, Perl, Scala). Analyzes and develops data set processes for data ingestion, modeling, and mining.
• Provide AI roadmap, ROI business cases, model validation and governance.

Minimum Requirements:

• Must have Active Secret Clearance
• Minimum 8 years of experience.

• Experience engineering large scale big data deployments in Government and large commercial environments.
• Experience with ML, NLP, MLOps, Python, data engineering, responsible AI
• Experience with Hadoop-based technologies (Cloudera, Hortonworks, MapReduce, Hive, HDFS).
• Experience with NoSQL technologies (e.g., MongoDB, Cassandra)
• Experience designing data models using Enterprise Data modeling tools (ERWin, Visio).
• Experience integrating Big Data solutions with SAP technologies.
• Bachelor or Master degree is required