Senior Software Engineer, High-Performance Analytics Compute

United States Digital Space LLC

San Francisco (CA)

On-site

USD 170,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
Parental benefits
Mental health benefits
ESPP
Home office stipend
Flexible time off

Job summary

United States Digital Space LLC is seeking a Senior Software Engineer for the Analytics Compute Platform Team in San Francisco. You will design core parts of the query/compute engine and evolve the compute API to support a more generic table across product lines.

You will collaborate with data management, marketing analytics, and product teams to deliver a fast, reliable analytics stack with scalable compute and data models.

Qualifications

  • Strong backend or distributed-systems experience, ideally touching OLAP databases, query engines, or data infrastructure.
  • Experience with SQL, query planning/execution, or building APIs used by multiple teams.
  • Ability to balance flexibility, performance, and ease of use with deliberate tradeoffs.
  • Proven track record owning ambiguous, cross-team projects end-to-end.

Responsibilities

  • Design and build core parts of the query/compute engine powering analytics.
  • Evolve the compute API and semantic layer for a more generic table.
  • Unify and evolve the core data model alongside event and non-event data.
  • Improve performance, reliability, and scalability of query planning and execution.
  • Collaborate across teams to shape the compute layer to their needs.
  • Take ownership of projects end-to-end from design through rollout.

Skills

Backend engineering
Distributed systems
SQL
API design
Cross-functional collaboration
OLAP databases

Tools

Columnar databases
OLAP engines

Job description

United States Digital Space LLC is seeking a Senior Software Engineer for the Analytics Compute Platform Team in San Francisco. You will design core parts of the query/compute engine and evolve the compute API to support a more generic table across product lines.

You will collaborate with data management, marketing analytics, and product teams to deliver a fast, reliable analytics stack with scalable compute and data models.

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