Staff Backend Engineer: AI-Driven Data Platform & Schemas
Doss
San Francisco (CA)
On-site
USD 200,000 - 280,000
Full time
14 days+
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Benefits offered by this job
Comprehensive medical, dental, and vision insurance
Unlimited PTO and mandatory US Holidays
401(k), immediate eligibility
Fitness and commuter stipends
Catered lunch 4 days a week
Relocation assistance available
Job summary
A forward-thinking tech company in San Francisco is seeking a talented engineer to design a schema-as-code platform and large-scale ETL solutions. The role requires expertise in cloud services, with responsibilities including building a version-control migration engine and engineering AI-assisted tooling. The position offers a competitive salary range of $200k-$280k, comprehensive benefits, and a culture fostering teamwork and continuous growth.
Qualifications
Expertise in building large-scale ETL.
Ability to use cloud services for deploying applications.
Working in abstractions for complex architectures.
Responsibilities
Design the core EAV data model & schema-as-code platform.
Build Git-style version-control and migration engine.
Engineer AI-assisted tooling for schema proposals.
Scale the data warehouse for analytics and automation.
Create APIs and SDKs for business processes.
Deliver end-to-end observability across data.
Build guard rails into the system.
Mentor and shape engineering culture.
Skills
Building large scale ETL
Using cloud services
Graph-based architectures
Tools
Postgres
Elasticsearch
DuckDB
Memgraph
Job description
A forward-thinking tech company in San Francisco is seeking a talented engineer to design a schema-as-code platform and large-scale ETL solutions. The role requires expertise in cloud services, with responsibilities including building a version-control migration engine and engineering AI-assisted tooling. The position offers a competitive salary range of $200k-$280k, comprehensive benefits, and a culture fostering teamwork and continuous growth.