Sr. Big Data Engineer

Ariel Partners • Fort Belvoir, VA

1d

About The Position

The Sr. Big Data Engineer will support the DLA Procurement Integrated Enterprise Environment (PIEE) Development and Sustainment program, which modernizes, enhances, and sustains a mission-critical defense procurement and payment platform comprising approximately 34 applications. The program includes enterprise software modernization, legacy-code refactoring, Agile/DevSecOps delivery, AWS GovCloud operations, CI/CD automation, cybersecurity, AI/ML integration, automated testing, and improvements to system performance and user experience.

This role engineers big data solutions and multi-tiered data environments, leading initiatives that produce actionable insights for strategic and tactical mission objectives. The engineer designs enterprise data models, develops high-performance algorithms and prototypes, and analyzes and builds data-set processes for ingestion, modeling, and mining. The role also provides AI roadmaps, ROI business cases, model validation, and governance.

Requirements

• Must have an 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, and responsible AI.
• Experience with Hadoop-based technologies, including Cloudera, Hortonworks, MapReduce, Hive, and HDFS.
• Experience with NoSQL technologies such as MongoDB or Cassandra.
• Experience designing data models using enterprise data modeling tools such as ERwin or Visio.
• Experience integrating big data solutions with SAP technologies.
• Bachelor's or master's degree required.

Responsibilities

• Engineer big data solutions and multi-tiered data environments.
• Lead initiatives using big data solutions to provide actionable insights for strategic and tactical mission objectives.
• Design data models using enterprise data modeling tools such as ERwin and Visio.
• Build high-performance algorithms, prototypes, and data models using programming languages such as Python, C/C++, Java, Perl, and Scala.
• Analyze and develop data-set processes for data ingestion, modeling, and mining.
• Provide AI roadmaps, ROI business cases, model validation, and governance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior