Data Engineer III

Build the data backbone that powers the future of commerce - great culture, benefits and more! This job is hosted by: Brendan Thomas. Salary: $160,000 - $180,000 per year. We're a fast-moving company at the intersection of AI, data, and global commerce, helping some of the world's most recognized brands reach their shoppers in ways that are relevant, respectful, and real. Behind every insight we deliver is a data platform that has to be fast, trustworthy, and built to scale — and that's where you come in. 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. 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. What you bring: 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. Benefits 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 Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. #J-18808-Ljbffr