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Key skills for this role
Design and ship end-to-end product features spanning frontend, backend, and infrastructure
Work deeply in the Superset ecosystem (React + Python + SQL + APIs)
Improve performance, scalability, and reliability of user-facing workflows
Lead large projects such as semantic layer integrations, caching/performance improvements, embedded analytics experiences, or permissions modernization
Drive technical planning, tradeoff discussions, and execution across teams
Set best practices for code quality, testing, observability, and maintainability
Mentor senior and junior engineers and strengthen team execution
Partner with product, design, and customer-facing teams to deliver impactful outcomes
Work closely with open-source contributors and the Apache Superset community
Build workflows that support AI-assisted analytics, LLM integrations, and next-generation BI experiences
Help define what “modern analytics” looks like in an open ecosystem
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6+ years of professional software engineering experience (or equivalent)
Strong full stack background: modern frontend + backend + systems thinking
Experience leading major initiatives in complex production environments
Deep knowledge of: React + TypeScript (frontend architecture, performance, UX) Python backend development (APIs, services, async systems) SQL and data-intensive applications
React + TypeScript (frontend architecture, performance, UX)
Python backend development (APIs, services, async systems)
SQL and data-intensive applications
Comfort working in cloud-native environments (AWS, Kubernetes, Docker)
You care about the user experience as much as the backend correctness
You think in systems: reliability, scalability, operability, long-term evolution
You thrive in ambiguity and enjoy turning messy problems into clear solutions
Proven ability to mentor engineers and raise the bar across a team
Strong communication and collaboration skills
Ability to drive alignment without heavy process
Experience with BI tools: Superset, Looker, Tableau, PowerBI, Mode, etc.
Familiarity with semantic layers: dbt, Cube, MetricFlow, etc.
Open source experience (especially Apache ecosystem)
Experience building embedded analytics or multi-tenant SaaS platforms
Interest in AI/LLM-enabled developer and analytics workflows
Work on one of the most widely adopted open-source analytics platforms in the world
Solve challenging problems at the intersection of data, product, and infrastructure
Help define the future of open, composable BI (not closed dashboards)
High autonomy, high trust engineering culture
Opportunity to lead at Staff/Principal scope with real ownership
Provides cloud-native business intelligence and data visualization platforms.
Visit company websiteUSD 100000-150000 yearly / year
Full-time
Senior · 6+ years experience
Remote
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