Secret-Cleared Senior Big Data Engineer: AI/ML & GovCloud

Ariel Partners

Fort Belvoir (VA)

On-site

USD 120,000 - 170,000

Full time

2 days ago
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Job summary

Ariel Partners is seeking a senior data engineering professional to support the DLA PIEE program, focusing on big data platforms, analytics, and AI governance. The role emphasizes enterprise-scale data environments, cloud operations, and secure, compliant delivery.

You will design data models, develop data pipelines, and drive AI/ML initiatives across government and large commercial contexts, leveraging Python, Java, and big data tools in a secure environment.

Qualifications

  • 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 (MongoDB, Cassandra).
  • Experience designing data models using ERWin and Visio.
  • Experience integrating Big Data solutions with SAP technologies.
  • Bachelor or Master degree required.

Responsibilities

  • Engineer big data solutions and multi-tiered data environments.
  • Lead initiatives utilizing big data solutions to provide actionable insights for mission objectives.
  • Design data models using ERWin and Visio.
  • Build high-performance algorithms, prototypes, and data models using Python, C/C++, Java, Perl, Scala.
  • Provide AI roadmap, ROI business cases, model validation and governance.

Skills

Big data engineering
ML/NLP/MLOps
Python
Data engineering
Responsible AI

Education

Bachelor's or Master's degree

Tools

Cloudera
Hortonworks
MapReduce
Hive
HDFS
MongoDB
Cassandra
ERWin
Visio
SAP integration

Job description

Ariel Partners is seeking a senior data engineering professional to support the DLA PIEE program, focusing on big data platforms, analytics, and AI governance. The role emphasizes enterprise-scale data environments, cloud operations, and secure, compliant delivery.

You will design data models, develop data pipelines, and drive AI/ML initiatives across government and large commercial contexts, leveraging Python, Java, and big data tools in a secure environment.

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