Senior Big Data Engineer

Job not on LinkedIn

🕒 October 22

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ariel Partners

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2000

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Ariel Partners is a technology services and product firm that helps public sector agencies and enterprises modernize mission-critical systems using Mission Critical Agile, AI, and DevSecOps practices. The company offers cloud modernization, application services, data and AI/ML solutions, managed IT operations, test automation, governance tools, and products such as Seatbelt for Jira, and holds multiple federal contract vehicles serving federal, state & local, and commercial clients.

📋 Description

• 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

• 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

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