Rackspace Us Inc.
Data Engineer V - US
US-Work from Home · Senior
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- 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.
- We bring our whole selves to work every day.
Responsibilities
- Expert-level SQL, data modeling, and semantic-layer design; sets standards for the team's schema/pipeline design patterns.
- Directs and mentors a team of engineers; manages workload prioritization and on-time delivery.
- 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.
- Own root-cause analysis and mitigation for complex pipeline/data-quality issues within the team's scope.
- Own documentation, SOPs, and escalation pathways for the team.
Requirements
- 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.
Skills
- Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience.
Compensation
- Our compensation reflects the cost of labor across several geographic markets.
Benefits
- Experience with healthcare data compliance frameworks (HIPAA, HL7, FHIR).
Company info
- And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe.
This listing is sourced directly from Rackspace Us Inc.'s careers page and normalized into a canonical job model.