Senior Big Data Engineer

Ariel Partners

. Engineer big data solutions and multi-tiered data environments .

Posted 10/22/2026full-timeRemote • Virginia • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in engineering big data solutions and multi-tiered data environments, with a strong focus on data modeling, algorithm development, and AI integration. Proven ability to lead initiatives that provide actionable insights and support large-scale deployments in government and commercial sectors.

Highest-signal resume keywords

Big Data EngineeringData ModelingMachine Learning (ML)Hadoop TechnologiesActive Secret Clearance

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Applicant Tracking System Keywords

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Hard Skills

PythonC/C++JavaPerlScalaData EngineeringNatural Language Processing (NLP)MLOpsNoSQL TechnologiesData Ingestion

Tools & Technologies

ERWinVisioClouderaHortonworksMapReduceHiveHDFSMongoDBCassandraSAP Technologies

Certifications & Qualifications

Bachelor's DegreeMaster's DegreeActive Secret Clearance

Industry Keywords

AgileDevSecOpsAWS GovCloudCI/CD AutomationCybersecurityAI/ML IntegrationAutomated TestingPerformance ImprovementUser Experience ImprovementGovernance

Tech Stack

Tools & technologies

AWSCassandraCyber SecurityHadoopHDFSJavaMapReduceMongoDBNoSQLPerlPythonScalaC++

About the role

Key responsibilities & impact

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 (ERwin, Visio)
Build high-performance algorithms, prototypes, and data models using Python, C/C++, Java, Perl, or Scala
Analyze and develop data set processes for data ingestion, modeling, and mining
Provide AI roadmap, ROI business cases, model validation, and governance
Support the DLA PIEE Development and Sustainment program, including modernization, legacy-code refactoring, Agile/DevSecOps delivery, AWS GovCloud operations, CI/CD automation, cybersecurity, AI/ML integration, automated testing, and performance and user-experience improvements

Requirements

What you’ll need

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 (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