Data Engineer V - US

rackspace; United States; Remote; USD 166,000 - 243,000; Full time

Benefits offered by this job

Annual incentives

Equity awards

Employee stock purchase plan

Job summary

Rackspace is seeking a senior data engineering leader to guide a pod that builds and operates enterprise data pipelines and AI/RAG infrastructure for healthcare. You will set technical direction, turn clinical needs into a roadmap, mentor engineers, and own operational accountability.

Responsibilities include defining data standards, coordinating with data science, security, and compliance teams, and reporting on pipeline health. Strong healthcare experience and US citizenship required.

Qualifications

• 8–12 years in technology, incl. data leadership
• 6–8 years architecting cloud data solutions
• 2+ years leading engineers or technical workstreams
• Healthcare experience with providers/clinical ops
• Familiarity with HIPAA, HL7, & FHIR
• Expert SQL and data modeling standards

Responsibilities

• Lead and mentor engineers, prioritize work, and drive reliable delivery through Agile practices.
• Set standards for data modeling, SQL, semantic layers, batch and streaming pipelines, CI/CD, and AI/RAG data workflows.
• Translate provider and clinical stakeholder needs into scalable data solutions and coordinate with data science, security, and compliance teams.
• Define and report operational measures such as pipeline uptime, recovery time, and data quality; lead remediation when service targets are missed.
• Own root-cause analysis, documentation, operating procedures, escalations, and participation in the on-call rotation.
• Guide privacy and security practices, including AI-related risks, and contribute to cloud and AI infrastructure cost planning.

Skills

SQL

Data modeling

Semantic layers

Cloud data platforms

Leadership

Agile delivery

Communication with stakeholders

Education

Bachelor’s degree in computer science or related field

Tools

Epic

Cerner

Job description

Role overview

Lead a data engineering pod building and operating enterprise data pipelines and AI/RAG data infrastructure in healthcare. Set technical direction and delivery standards, turn clinical and business needs into a prioritized roadmap, and mentor engineers while maintaining operational accountability.

Responsibilities

• Lead and mentor engineers, prioritize work, and drive reliable delivery through Agile practices.
• Set standards for data modeling, SQL, semantic layers, batch and streaming pipelines, CI/CD, and AI/RAG data workflows.
• Translate provider and clinical stakeholder needs into scalable data solutions and coordinate with data science, security, and compliance teams.
• Define and report operational measures such as pipeline uptime, recovery time, and data quality; lead remediation when service targets are missed.
• Own root-cause analysis, documentation, operating procedures, escalations, and participation in the on-call rotation.
• Guide privacy and security practices, including AI-related risks, and contribute to cloud and AI infrastructure cost planning.

Requirements

• 8–12 years in technology, including substantial data leadership; 6–8 years architecting cloud data solutions and at least 2 years leading engineers or technical workstreams.
• Extensive healthcare experience, including work with providers, clinical operations, or healthcare organizations; familiarity with EMR/EHR systems such as Epic or Cerner.
• Knowledge of healthcare data standards and compliance, including HIPAA, HL7, and FHIR.
• Expert SQL, data modeling, and semantic-layer skills, with experience setting team standards for data platforms and pipelines.
• Ability to turn ambiguous needs into technical plans, communicate with senior stakeholders, and coordinate across technical teams.
• Bachelor’s degree in computer science or a related field, or equivalent practical experience; U.S. citizenship required.

Nice to have

• Cloud Professional Data Engineer or ML Engineer certification.
• Experience defining large-scale LLM/RAG data architecture and standards.

Benefits and work setup

• U.S. compensation range listed as $165,830–$243,141.80 per year, varying by location and qualifications.
• The package may include annual incentives, equity awards, and an employee stock purchase plan.