Data Engineer V - US

Rackspace Technology

6d • $165,830 - $243,142

About The Position

The Data Engineer V leads the technical direction, delivery standards, and day-to-day execution of a data engineering pod spanning core enterprise data warehouse pipelines and AI/RAG data infrastructure. The role translates stakeholder needs into a prioritized roadmap, mentors engineers, and owns operational accountability for the team’s pipelines.

This position requires extensive healthcare-domain experience, including work with electronic medical record/electronic health record systems such as Epic or Cerner and close collaboration with healthcare providers, clinical operations teams, or healthcare organizations. The role applies healthcare data standards and compliance frameworks, including HIPAA, HL7, and FHIR, and translates provider and clinical stakeholder needs into scalable data solutions.

The role sets team standards for data architecture, modeling, semantic layers, batch and streaming pipelines, CI/CD, testing, and AI/RAG data pipelines. It leads delivery and operational practices, tracks service and data-quality metrics, resolves complex issues, coordinates with adjacent technical teams, and serves as a technical liaison to business and clinical stakeholders. The position also contributes input on cloud and AI/vector-database costs and coordinates documentation, escalation pathways, and on-call responsibilities.

Requirements

• 8–12 years of experience in technology, with significant data-centric leadership.
• 6–8 years of hands-on experience architecting data solutions on a cloud platform.
• At least 2 years formally leading engineers or technical workstreams.
• Extensive experience in the healthcare domain.
• Experience with EMR/EHR systems, specifically Epic and/or Cerner.
• Experience partnering closely with healthcare providers, clinical operations teams, or healthcare organizations.
• Bachelor's degree in Computer Science or a related technical field, or equivalent hands-on experience.
• Expert-level SQL, data modeling, and semantic-layer design.
• Experience with or ability to set team approaches to batch/streaming architecture and CI/CD, including technologies such as Spark, Airflow, Databricks, and Snowflake.
• Ability to direct and mentor engineers, prioritize workload, and deliver on time.
• Ability to translate business ambiguity into actionable technical plans and present to stakeholders.
• Experience coordinating with adjacent technical teams and enforcing security and privacy standards.

Nice To Haves

• Cloud Professional Data Engineer or ML Engineer certification.
• Experience with healthcare data compliance frameworks such as HIPAA, HL7, and FHIR.
• Experience setting standards for LLM/RAG data architecture at scale.

Responsibilities

• Lead and mentor a team or pod of engineers, prioritize workload, and drive on-time Agile delivery.
• Set the team's technical direction and standards for schema and pipeline design, data modeling, semantic layers, batch and streaming architecture, and CI/CD practices.
• Set standards for AI/RAG data pipelines, including embedding strategy, vector-store selection, corpus curation, and AI-assisted development practices.
• Own source-management, version-control, and QA/testing standards, including standards for AI-assisted code contributions.
• Define and track the team's metrics strategy; own pipeline SLA/SLO tracking and lead back-to-green plans when KPIs are missed.
• Track, analyze, and report pipeline uptime, MTTR, and data-quality KPIs to leadership.
• Own root-cause analysis and mitigation for complex pipeline and data-quality issues within the team's scope.
• Serve as a primary technical liaison to business and clinical stakeholders and translate their needs into the team's roadmap for pipelines, data products, and AI/RAG capabilities.
• Coordinate handoffs with data science, security, and compliance teams to ensure platform readiness.
• Enforce security and privacy standards, including AI-specific risk considerations.
• Contribute cost and budget input for the team's cloud and AI/vector-database usage.
• Own team documentation, SOPs, and escalation pathways.
• Participate in and help coordinate the on-call rotation, and own escalation when issues arise.
• Translate business ambiguity into actionable technical plans and present regularly to stakeholders and audiences of 10 or more.

Benefits

• Annual bonus or other incentive compensation opportunities may be included in the compensation package.
• Equity awards may be included in the compensation package.
• Employee Stock Purchase Plan (ESPP).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior