Orion Innovation
Technology
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Orion Innovation. Skills: data modeling, Python, RDF, Sparql, knowledge graph. Designing, developing, and optimizing data systems, building robust data models, and driving insights. Constructing and maintaining knowledge graphs, and working with semantic representations. Assisting with knowledge generation, analysis, and transformation tasks.”
Industry & Context.
data pipelines; system design
Knowledge graph / data engineers with expertise to build on P[x] data foundations that power AI reasoning. Inter-related complex information into a semantic UMR is a huge knowledge graph curation.
What They're Looking For.
Must Have
Proven expertise in data modeling with at least 6-8 years of experience in related fields.
Nice to Have
Proficiency in Python for data manipulation and pipeline automation.
What You'll Do.
Designing, developing, and optimizing data systems, building robust data models, and driving insights.
Constructing and maintaining knowledge graphs, and working with semantic representations.
Assisting with knowledge generation, analysis, and transformation tasks.
How You'll Work.
Team & Collaboration
Collaborating within a hybrid work structure.
Full Job Description
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. Job Title: Data Engineer Project Overview: Join our 11-Delivery department to support a critical and dynamic project that leverages data engineering expertise. This role involves designing, developing, and optimizing data systems while collaborating within a hybrid work structure. Your contributions will help build robust data models and drive insights for our organization. Key Responsibilities: Knowledge graph / data engineers with expertise to build on P[x] data foundations that power AI reasoning familiar with KG / RDF concepts, agentic systems, KG usage patterns, graph construction, and agentic (and traditional) data analysis processes to assist with a few knowledge generation, analysis, and transformation tasks. UMR and ontological design concepts are extras.. This involves designing scalable pipelines, constructing, and maintaining knowledge graphs, and working with semantic representations that allow the platform to understand relationships across large, diverse datasets. The ideal expertise bridges traditional data engineering with NLP and ontology-driven modeling. inter-related complex information into a semantic representation; UMR is a huge bonus; knowledge graph curation. UMR is beneficial; RDF; Sparql Required Skills and Experience: Mandatory:Proven expertise in data modeling with at least 6-8 years of experience in related fields. Preferred:Proficiency in Python for data manipulation and pipeli
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