Lead Software Engineer

Lead Analytics and Reporting Software Engineer

100% Remote (US based)

Full time, direct hire

US Citizens and Green Card Holders encouraged to apply (this opportunity does not offer sponsorship)

Responsibilities:

• Design and build an end-to-end data pipeline framework: ingest → transform → shape → deliver
• Develop a no/low-code GUI to empower customers with self-service analytics
• Architect and embed advanced business intelligence capabilities directly into the platform
• Define and drive the technical roadmap based on business and customer needs
• Champion simplicity, scalability, and performance
• Bridge technical and product perspectives with a deep understanding of end-user needs
• Drive data democratization: empower users with self-service insights, not engineering bottlenecks
• Lead system design decisions: pipelines, orchestration, data models, and interfaces
• Build flexible, future-ready architectures that can scale with evolving use cases
• Prioritize elegant, maintainable solutions over short-term hacks
• Bring technical taste to every decision—know when something is “right,” not just functional
• Break down high-level strategy into tactical sprints and deliverables
• Own production reliability, observability, and incident response
• Build and lead a high-trust, high-performance team culture

Required Skills:

• 7+ years of experience building software, with 3+ leading teams delivering data-intensive platforms
• Expert in Python (ETL pipelines, data validation, multi-format processing) with potential migration to a high-performance language like Golang
• Expert JavaScript, TypeScript, TSX
• Full-stack capable: strong front-end experience in JS/TS/TSX
• Deep understanding of scalable data architecture: NoSQL, columnar DBs, Lakehouse patterns
• Experience with BI tools (e.g., Superset, Metabase) and orchestration frameworks (e.g., Prefect, Dagster, Flyte)

Preferred Skills:

• Built or contributed to no/low-code data platforms
• Products involving automation, AI, or compounding customer value
• Familiarity with high-performance systems and Lakehouse architectures
• Transitioning from solo engineer to technical team leader