Data Engineer III

We're looking for a Data Engineer III to take the lead on the systems and standards that turn raw data into a product people can actually rely on. This isn't a keep-the-lights-on role. You'll set direction, own architecture, and shape how data flows to both our BI tools and our AI consumers. If you treat data as a craft and hold a high bar for quality, you'll feel right at home.

Why join us? Why you'll want to work here:

We believe great work happens when people are trusted, supported, and given room to do the best work of their careers. We back that up:

• Flexible work-from-home arrangements
• 401(k) match
• Flexible vacation
• Medical / Dental / Vision
• 16 weeks of paid parental leave (US)
• Technical stipend
• Professional development programs
• Wellness programs

Job Details What you'll do:

• Lead end to end. Design, build, test, deploy, and continuously improve advanced data pipelines and engineering solutions.
• Drive real impact. Prioritize and deliver multiple high-stakes projects without dropping the ball on quality.
• Make quality non-negotiable. Establish data quality standards with automated tests, anomaly detection, and freshness SLAs.
• Own the modeling layer. Write and govern canonical dbt models in Snowflake using dimensional modeling principles - standardizing patterns, - enforcing testing and documentation, and managing project structure across domains.
• Define one source of truth. Build and maintain a consistent semantic layer - metric definitions, business logic, and entity relationships - so everything stays aligned across Looker, our MCP server, and AI consumers, no matter the tooling.
• Strengthen the foundation. Spot infrastructure improvements that cut cost, boost reliability, and eliminate single points of failure.
• Keep the platform humming. Support Snowflake and Looker administration alongside the rest of the data platform team.

• BS in Computer Science or a related field - or equivalent hands-on experience.
• 5+ years in data engineering, with a proven track record designing, building, and maintaining ELT pipelines and dimensional models in production.
• Deep experience processing and integrating large-scale data from many sources.
• Advanced SQL - complex joins, CTEs, the works.
• Strong hands-on Snowflake experience (admin experience is a nice bonus, not a must).
• Production-grade dbt chops: model development, testing, documentation, and project governance.
• Solid coding skills in Python, Java, or a similar language.
• Comfort with Git-based version control and CI/CD for data infrastructure.
• Familiarity with workflow orchestration tools (Airflow, Prefect, Dagster, or similar).
• A genuine sense of data ownership - you treat data as a product and refuse to compromise on reliability.

Bonus points for:

• Data observability and lineage tooling.
• Working knowledge of AI/ML.
• Experience building a semantic layer or canonical data model with consistent metric and entity definitions.
• Looker development or administration.
• A background in e-commerce, retail analytics, or SaaS data platforms.