Principal Data Engineer

Vaga não está no LinkedIn

🕒 Maio 5

🏄 California – Remoto

🏄 California – Remote

💵 $220.000 - $250.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Extend

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🛍️ Comércio Eletrônico

🔌 API

🤝 B2B

eCommerce • API • B2B

A Extend é uma empresa que ajuda os comerciantes a gerar receita e proteger seus clientes por meio de soluções modernas de proteção de produtos e frete. Eles oferecem planos de proteção contra falhas de produtos e danos acidentais, além de problemas de envio, como furtos em varandas e entregas danificadas. A Extend fornece uma plataforma fácil de integrar com plataformas de eCommerce como Shopify e BigCommerce, permitindo que os comerciantes ofereçam facilmente planos de proteção e gerenciem reivindicações, com a maioria sendo resolvida em 90 segundos ou menos. A empresa foca em melhorar as margens de lucro e aprimorar a experiência do cliente, oferecendo um processo fácil de registro de reivindicações e transformando clientes em defensores de longo prazo.

Descrição

• You own our data warehouse and the reporting layer on top of it, setting patterns for how data is modeled, evolved, and exposed. • You write SQL and dbt models, refactor transformations, and build the tables and views downstream teams rely on. • You proactively engage with teams across the company to understand how data is created and used, identify gaps, and guide solutions. • You partner with our DevX and architecture teams on the boundary between product engineering services and Snowflake. • You build models, tests, and processes that anticipate malformed data and upstream changes, making our pipelines boring to operate. • You instrument what you own, define meaningful SLOs and data quality checks, and participate in our rotating on-call schedule. • You own and extend our Python jobs running on Glue, Lambda, and Step Functions. • You pair with more junior engineers on real work, raise the bar on PR and architecture reviews, and define the patterns and standards the team writes against.

🎯 Requisitos

• 10+ years in Data Engineering, Analytics Engineering, or related fields, operating at a Principal or equivalent level. • Deep relational database architecture and data modeling expertise. • Expert-level Snowflake and SQL, with experience owning a warehouse at scale. • Strong analytics engineering experience, ideally with dbt. • Solid hands-on Python, with experience building data jobs on AWS Glue, Lambda, and Step Functions, and managing that infrastructure in AWS CDK. • Experience integrating with third-party APIs in both directions, including rate limits, retries, authentication, and idempotency. • Track record of building observable, reliable data systems. • Demonstrated technical leadership and mentorship with strong communication, systems thinking, and a track record of engaging stakeholders across an organization to drive cross-functional outcomes.

🏖️ Benefícios

• Competitive salary based on experience, with full medical and dental & vision benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible paid time off policy. • 401(k) with Financial Guidance from Morgan Stanley.