Skills
data engineering
data platform architecture
data pipelines
About the Role
Join our growing data platform team as a Data Engineer and take end-to-end ownership of designing, building, and scaling the foundational data infrastructure that supports analytics, machine learning, and day-to-day business decisions.
You’ll help deliver reliable, secure, and cost-efficient data platforms that empower data engineers, analysts, and data scientists to work effectively at scale.
Responsibilities
- Design and deliver data infrastructure that improves reliability, performance, and developer experience
- Lead technical initiatives in partnership with engineering, analytics, and security teams
- Make architectural decisions and bring strong engineering judgment to ambiguous problems
- Support high-impact data workloads for analytics and machine learning use cases
- Contribute to the team’s technical growth by sharing best practices and raising engineering standards
Requirements
- Proven experience building and scaling data platforms or data pipelines
- Strong engineering judgment and ability to drive solutions from ambiguous requirements
- Experience collaborating cross-functionally with engineering, analytics, and security stakeholders
- Commitment to reliability, security, and cost-conscious engineering
Benefits
- Opportunity to shape the core data infrastructure for analytics and machine learning
- Collaborative environment with close partnership across key technical teams
- Room to grow architectural and platform leadership through ownership of end-to-end delivery
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