Remotery

Principal Data Engineer

atExtendUS flagCaliforniaFull-timeData EngineerLead$220k – $250k/year

Posted 5 days ago

This is a fully remote position, open to applicants in California.

📋 Description

• You will take ownership of our data warehouse and its reporting layer, establishing patterns for data modeling, evolution, and exposure.

• Your responsibilities include writing SQL and dbt models, refining transformations, and creating the tables and views that downstream teams depend on.

• You will engage proactively with various teams across the organization to comprehend how data is generated and utilized, identify gaps, and propose solutions.

• Collaborating with our DevX and architecture teams, you will work at the intersection of product engineering services and Snowflake.

• You will develop models, tests, and processes that foresee malformed data and upstream changes, ensuring our pipelines are straightforward to manage.

• Instrumenting what you manage, you will define meaningful SLOs and data quality checks, and be part of our rotating on-call schedule.

• You will take ownership of and enhance our Python jobs running on Glue, Lambda, and Step Functions.

• Partnering with junior engineers on actual projects, you will raise the standards for PR and architecture reviews, and establish the patterns and standards for the team's work.


⛳️ Requirements

• Over 10 years of experience in Data Engineering, Analytics Engineering, or related fields, functioning at a Principal or equivalent level.

• Profound expertise in relational database architecture and data modeling.

• Advanced proficiency in Snowflake and SQL, with experience managing a warehouse at scale.

• Strong background in analytics engineering, preferably with dbt.

• Solid hands-on experience with Python, including building data jobs on AWS Glue, Lambda, and Step Functions, as well as managing that infrastructure using AWS CDK.

• Experience with integrating third-party APIs in both directions, covering aspects like rate limits, retries, authentication, and idempotency.

• A proven history of developing observable and reliable data systems.

• Demonstrated technical leadership and mentorship capabilities, strong communication skills, systems thinking, and a successful record of engaging stakeholders across an organization to achieve cross-functional outcomes.


🏝️ Benefits

• Competitive salary based on experience, with comprehensive medical, dental, and vision benefits.

• Equity in a rapidly growing early-stage startup.

• Generous and flexible paid time off policy.

• 401(k) plan with Financial Guidance from Morgan Stanley.

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