Principal Data Engineer

Job not on LinkedIn

🕒 May 5

🏄 California – Remote

🏄 California – Remote

💵 $220k - $250k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Extend

WebsiteLinkedInAll Job Openings

201 - 500 employees

🛍️ eCommerce

🔌 API

🤝 B2B

eCommerce • API • B2B

Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.