Principal Data Engineer

Extend

Principal Data Engineer responsible for the analytics data architecture at Extend. Leading cross-functional projects and mentoring junior engineers while enhancing data reliability.

Posted 5/5/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $220,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdbtdata modelingrelational database architecturePythondata engineeringanalytics engineeringdata quality checksdata systemsAPI integration

Soft Skills

technical leadershipmentorshipcommunicationsystems thinkingstakeholder engagement