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.
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