Staff Fullstack Engineer, Data Products

GitLab

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$152,800–$259,200 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k
This role $206k
$140k most similar roles pay here $272k

This role pays less than 59% of similar roles. Most pay $192,050–$230,400 — the shaded band above. At the midpoint, this role pays about $206k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About GitLab

GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.

GitLab currently has 53 open roles on FindRole.

Listed pay typically runs $152,800–$235,400 across 46 roles with salary data.

Most-posted roles

View all roles at GitLab

At a glance

TL;DR · Staff Fullstack Engineer, Data Products

Staff Fullstack Engineer, Data Products joins a 0 to 1 team focused on integrating GitLab and third-party SDLC data into a near-real-time knowledge graph of the development ecosystem. This foundational role involves architecting how data is ingested, modeled, and synced while building dashboards, APIs, and marketplace integrations for platforms like Snowflake, Databricks, and BigQuery. The engineer will manage the full lifecycle of products, resolve cross-team dependencies, and mentor other engineers through design reviews. Key technical requirements include proficiency in Go, Ruby, and Node, along with experience in analytics or metrics platforms, graph data systems, CDC, warehouse integration, and building production AI-powered tool orchestration. The role addresses the challenge of transforming complex developer ecosystem signals into interoperable intelligence while ensuring operational readiness across multi-tenant SaaS and self-managed environments.

What you'll do

  • Architect the ingestion, modeling, and synchronization of GitLab and third-party data into a real-time knowledge graph.
  • Lead integrations with external systems like Jira, Zendesk, and ServiceNow to provide business context for the platform.
  • Design and build the Data Marketplace to allow customers to consume data via Snowflake, Databricks, and BigQuery.
  • Publish GitLab observability as OpenTelemetry and manage the associated data-sharing APIs.
  • Translate ambiguous 0-to-1 problems into concrete, actionable roadmaps in collaboration with Product and Design teams.
  • Resolve cross-team technical dependencies across infrastructure, AI platforms, and backend systems to ensure project delivery.
  • Mentor senior and intermediate engineers through design reviews, pair programming, and code reviews.
  • Identify systemic bottlenecks and design systems that improve overall execution velocity and organizational leverage.

What we're looking for

  • Proven ability to influence as a Staff engineer owning product or platform systems end to end across multiple teams.
  • Deep full-stack expertise with strong proficiency in Go, Ruby, and Node.
  • Depth in at least one of analytics and metrics platforms, graph data systems, CDC, or warehouse integration.
  • Hands-on experience building production AI-powered tool orchestration.
  • Experience operating multi-tenant systems across SaaS and self-managed deployment.
  • Ability to translate ambiguous 0 to 1 problem spaces into concrete, iterable roadmaps.
  • Ability to mentor senior and intermediate engineers through design reviews and code reviews.
  • Strong communication skills with a bias toward writing things down to make reasoning legible.

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