Candidate resume submissions must include 3 references and skills highlights to be considered. Job Description: 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