Staff Data Infrastructure Engineer — Equity & WFH

Doist; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive salary

Meaningful early equity

Health insurance (medical, dental, and

3 weeks of PTO

11 paid company holidays

3 months of paid family leave

Wednesdays work from home

401k plan

Commuter and lunch stipend

Job summary

Lightfield is hiring a Staff Engineer, Data Infrastructure to build the next generation of data systems. The role spans backend, infrastructure, and product-facing data challenges, with a focus on scalable analytics and high-volume data processing.

You will work on Postgres-backed systems, Redis-backed queues, and per-organization access controls while collaborating with product and engineering teams to scale the platform.

Qualifications

• Strong software engineering fundamentals with production data systems experience.
• Ability to optimize query plans, data freshness, and correctness with user-impact.
• Experience designing scalable data architectures and supporting product/engineering velocity.

Responsibilities

• Scale the analytics engine behind customer dashboards and ensure performance under security constraints.
• Design ingestion paths, event models, and schemas for data movement from writes to search and dashboards.
• Evolve a schema-flexible, graph-shaped data model for fast querying as data grows.
• Build foundations for historical reporting and auditability, including change capture.
• Develop data systems for usage metering, pipeline generation, and AI evaluation with business impact.
• Decide when current architecture suffices and when new systems are warranted.
• Set technical direction and engineering practices for data systems as the company scales.

Skills

Production data systems

Query performance

Schema design

Data infrastructure

Cross-functional collaboration

Tools

Postgres

Redis

Typesense

BullMQ

SQL

Observability tools

Job description

Lightfield is hiring a Staff Engineer, Data Infrastructure to build the next generation of data systems. The role spans backend, infrastructure, and product-facing data challenges, with a focus on scalable analytics and high-volume data processing.

You will work on Postgres-backed systems, Redis-backed queues, and per-organization access controls while collaborating with product and engineering teams to scale the platform.