Sr. Big Data Engineer
Ariel Partners Fort Belvoir, Virginia, United States
IT Services and IT Consulting · 11-50 employees
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About the role
Engineer large-scale big data solutions and multi-tier data environments, leading initiatives that deliver actionable insights for mission objectives. Design data models and data pipelines, develop high-performance algorithms and prototypes, and support AI roadmaps, business cases, model validation, and governance.
What they look for
Requirements
Requires an active Secret clearance, at least 8 years of experience, and a bachelor's or master's degree. Candidates must have experience with large-scale big data deployments, ML/NLP/MLOps, Python, Hadoop-based and NoSQL technologies, enterprise data modeling tools, and integration with SAP.
Full 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:
Note: Candidates who do not have the mandatory skills will not be considered
- 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
At Ariel Partners, we solve the most difficult problems that inhibit technology from enabling our customers to achieve their goals. Our vision is to be recognized by our stakeholders as an elite provider of IT solutions, so when they have their biggest challenges we’re on their short list. We’re looking for team members who share our values of: Integrity to do the right thing even when it hurts; Commitment to the long term success and happiness of our customers, our people, and our partners; Courage to take on difficult challenges, accept new ideas, and accept incremental failure; and the constant pursuit of Excellence.
Ariel Partners is an Equal Opportunity Employer in accordance with federal, state, and local laws.
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