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Contextual Systems Engineer Consultant (AI)

72 000 - 136 000$
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Contextual Systems Engineer Consultant (AI): Designing and delivering AI-ready data and knowledge foundations with an accent on semantic layers and knowledge graphs. Focus on building dbt metrics, configuring LookML models, and developing data pipelines that enable AI systems to understand enterprise context.

Location: Must be based in Atlanta, Dallas, Chicago, New York, Seattle, or San Francisco

Salary: $72,000 - $136,000

Company

hirify.global is a global business and technology transformation partner helping organizations accelerate their dual transition to a digital and sustainable world.

What you will do

  • Design and implement semantic layers, knowledge graphs, and context platforms to help AI systems understand enterprise data.
  • Build and configure semantic layer components, including LookML models, dbt metrics, and dimension/measure definitions.
  • Develop and test data pipelines that supply context platforms with structured and unstructured data.
  • Design knowledge graph schemas and populate graph databases with domain-relevant data.
  • Create documentation for semantic objects, context contracts, and data dictionaries.
  • Support discovery workshops to map enterprise data assets and knowledge flows.

Requirements

  • 3–5 years of experience in data engineering, analytics engineering, or data architecture.
  • Hands-on experience with dbt, SQL, and cloud data platforms such as BigQuery, Snowflake, or Redshift.
  • Strong understanding of semantic modeling concepts, including dimensions, measures, metrics, and hierarchies.
  • Proven documentation skills and high attention to data quality.
  • Work authorization and residency in the United States (specifically the listed cities).

Nice to have

  • Familiarity with graph database concepts, particularly Neo4j.
  • Exposure to vector databases, streaming technologies, or knowledge and context platforms.
  • Interest in how AI systems consume enterprise data and knowledge at scale.

Culture & Benefits

  • Comprehensive benefits package for all regular full-time employees.
  • Paid time off including 12-25 days of vacation (based on grade), company holidays, personal days, and sick leave.
  • Medical, dental, and vision coverage.
  • Retirement savings plans, including 401(k) in the U.S.
  • Life and disability insurance along with employee assistance programs.

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