Data Engineer V - US

Rackspace Technology; United States; On-site; USD 166,000 - 243,000; Full time

Benefits offered by this job

Annual bonus

Equity awards

Employee Stock Purchase Plan (ESPP)

Job summary

Rackspace Technology is seeking a Data Engineer V to lead a data engineering pod responsible for core EDW pipelines and AI/RAG data infrastructure. You will translate stakeholder needs into a prioritized roadmap, mentor engineers, and own operational accountability for pipelines across cloud platforms.

The role emphasizes expert SQL, data modeling, batch/streaming architectures (Spark, Airflow, Databricks/Snowflake), and AI-assisted development, with collaboration across data science, security,

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent hands-on experience.
• 8–12 years of technology experience with data-centric leadership.
• 6–8 years hands-on experience architecting data solutions on a cloud platform.
• 2+ years leading engineers or technical workstreams.

Responsibilities

• Lead and mentor a pod of engineers, prioritizing workload and Agile delivery.
• Own source-management, version-control, and QA/testing standards for AI-assisted code contributions.
• Define and track the team's metrics, SLA/SLO, and back-to-green plans.
• Track KPIs (pipeline uptime, MTTR, data-quality) and report to leadership.
• Own root-cause analysis for complex pipeline/data-quality issues.
• Serve as primary technical liaison to business/clinical stakeholders; translate needs into the roadmap.
• Contribute cost/budget input for cloud and AI/vector-database usage.
• Own documentation, SOPs, and escalation pathways; participate in on-call rotation.

Skills

SQL

Data modeling

Semantic-layer design

Batch/Streaming architecture

Spark

Airflow

Databricks

Snowflake

AI/RAG data pipelines

Mentoring engineers

Stakeholder communication

Education

Bachelor's degree in Computer Science or related field

Tools

CI/CD practices

Cloud platforms

Job description

Data Engineer V

Leads the technical direction, delivery standards, and day-to-day execution of a data engineering pod — spanning core EDW pipelines and AI/RAG data infrastructure — translating stakeholder needs into a prioritized roadmap while mentoring engineers and owning operational accountability for the team's pipelines.

Required Education & Experience

• Bachelor's degree in Computer Science, a related technical field, or equivalent hands-on experience.
• 8–12 years of experience in technology, with significant data-centric leadership.
• 6–8 years hands-on experience architecting data solutions on a cloud platform.
• 2+ years formally leading engineers or technical workstreams.

Preferred

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

Knowledge, Skills, And Abilities

• Expert-level SQL, data modeling, and semantic-layer design; sets standards for the team's schema/pipeline design patterns.
• Sets the team's approach to batch/streaming architecture (Spark, Airflow, Databricks/Snowflake) and CI/CD practices.
• Sets standards for the team's AI/RAG data pipelines (embedding strategy, vector-store selection, corpus curation) and AI-assisted development practices.
• Directs and mentors a team of engineers; manages workload prioritization and on-time delivery.
• Translates business ambiguity into actionable technical plans; regularly presents to stakeholders and audiences of 10+.
• Coordinates handoffs with adjacent technical teams (data science, security, compliance) to ensure platform readiness.
• Enforces security/privacy standards, including AI-specific risk considerations, across the team's work.

Job Functions

• Lead and mentor a team/pod of engineers, prioritizing workload and driving on-time, Agile delivery.
• Own source-management, version-control, and QA/testing standards for the team, including standards for AI-assisted code contributions.
• Define and track the team's metrics strategy; own SLA/SLO tracking for pipelines and lead "back-to-green" plans when KPIs are missed.
• Track, analyze, and report KPIs (pipeline uptime, MTTR, data-quality metrics) to leadership.
• Own root-cause analysis and mitigation for complex pipeline/data-quality issues within the team's scope.
• Serve as a primary technical liaison to business/clinical stakeholders, translating needs into the team's roadmap (pipelines, data products, AI/RAG capabilities).
• Contribute cost/budget input for the team's cloud and AI/vector-database usage.
• Own documentation, SOPs, and escalation pathways for the team.
• Participate in and help coordinate the on-call rotation, owning escalation ownership when issues arise.

Our compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from $165,830.00/year in our lowest geographic market up to 243,141.80 USD/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.

About Rackspace Technology

Rackspace Technology is the trusted operator of the full enterprise AI stack, from governed private cloud to AI inference and agents in production. From edge to core to cloud, we operate the infrastructure, data layer, and software integration to deliver business outcomes with the predictable cost, reliability, security, and compliance that regulated and mission-critical environments demand. We support customers in more than 120 countries with AI capabilities spanning private cloud, public cloud, applications, data and cyber resilience.

More on Rackspace Technology

Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.