Staff Data Platform Engineer: Build Scalable AI Data Systems
Scale AI
Seattle, New York, San Francisco (WA, NY, CA)
On-site
USD 248,400 - 310,500
Full time
14 days+
Application generator
Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Get past ATS filters
Benefits offered by this job
Comprehensive health coverage
Retirement benefits
Learning and development stipend
Job summary
A technology-driven company in Seattle is seeking an experienced Lead Engineer to design and develop data platforms that support advanced AI systems. The ideal candidate will have over 8 years of engineering experience, including extensive expertise in back-end systems, cloud technologies, and mentoring teams. This role involves driving architecture and collaborating closely with various stakeholders to enhance data processes. Compensation ranges from $248,400 to $310,500 annually, along with comprehensive health benefits and equity opportunities.
Qualifications
Extensive experience with cloud platforms and distributed systems.
Track record of leading teams successfully.
Experience with performance tuning and cost optimizations.
Responsibilities
Drive the architecture and design of foundational data platforms.
Collaborate with cross-functional teams to define and deliver features.
Provide technical leadership and mentor junior engineers.
Skills
Back-end systems expertise
Large-scale data storage
Database technologies (MongoDB, Postgres)
Containerization & deployment (Kubernetes)
Excellent communication skills
Education
8+ years of engineering experience
Tools
ElasticSearch
Redis
Trino
Flink
Spark
Job description
A technology-driven company in Seattle is seeking an experienced Lead Engineer to design and develop data platforms that support advanced AI systems. The ideal candidate will have over 8 years of engineering experience, including extensive expertise in back-end systems, cloud technologies, and mentoring teams. This role involves driving architecture and collaborating closely with various stakeholders to enhance data processes. Compensation ranges from $248,400 to $310,500 annually, along with comprehensive health benefits and equity opportunities.