> Markdown version of [/jobs/ext/1989427-data-engineer-iii](https://www.wearedevelopers.com/jobs/ext/1989427-data-engineer-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer III - **Company:** Jobot - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $160,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Business Logic, Automation of Tests, Big Data, Software as a Service, Continuous Integration, Information Engineering, Data Infrastructure, Dimensional Modeling, Python (Programming Language), DataOps, Workflow Management Systems, Sql Optimization, Snowflake, Git, Information Technology, Data Management, Software Coding, Looker Analytics, Software Version Control, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2913020040-2 ## About the Role * 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. ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)