11 часов назад
Data Engineer V - US (AI/RAG)
165 830 - 243 142$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Engineer V - US (AI/RAG): Leading the technical direction and delivery of EDW pipelines and AI/RAG data infrastructure with an accent on cloud data architecture, data quality, and operational standards. Focus on mentoring engineers, defining embedding and vector-store strategies, translating stakeholder needs into roadmaps, and resolving complex pipeline reliability issues.
Location: US — work from home
Salary: $165,830–$243,141.80 per year, depending on geographic market, skills, knowledge, and experience. Additional compensation may include annual bonuses, incentives, equity awards, and an Employee Stock Purchase Plan.
Company
Technology operates enterprise AI infrastructure, data platforms, cloud environments, applications, and cyber-resilience solutions for regulated and mission-critical organizations.
What you will do
- Lead and mentor a data engineering pod, prioritize workload, and drive on-time Agile delivery.
- Direct the architecture and standards for EDW pipelines, batch and streaming systems, and AI/RAG data infrastructure.
- Define source management, version control, QA/testing, CI/CD, documentation, SOP, and escalation standards.
- Own pipeline metrics, SLA/SLO tracking, KPI reporting, root-cause analysis, and back-to-green plans.
- Translate business and clinical stakeholder needs into roadmaps covering pipelines, data products, and AI/RAG capabilities.
- Coordinate with data science, security, and compliance teams while overseeing on-call escalation and cloud and AI usage costs.
Requirements
- Bachelor’s degree in Computer Science, a related technical field, or equivalent hands-on experience.
- 8–12 years of technology experience with significant data-centric leadership.
- 6–8 years of hands-on experience architecting data solutions on a cloud platform.
- At least 2 years of formal experience leading engineers or technical workstreams.
- Expert knowledge of SQL, data modeling, semantic-layer design, Spark, Airflow, Databricks or Snowflake, and CI/CD practices.
- Experience setting AI/RAG data pipeline standards, including embedding strategy, vector-store selection, corpus curation, security, and privacy controls.
Nice to have
- Cloud Professional Data Engineer or ML Engineer certification.
- Experience with HIPAA, HL7, or FHIR healthcare data compliance frameworks.
- Experience defining LLM/RAG data architecture standards at scale.
Culture & Benefits
- Remote work from the United States.
- Annual bonus or incentive compensation opportunities.
- Equity awards and an Employee Stock Purchase Plan may be available.
- Support for accessibility accommodations and equal employment opportunity.
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