> Markdown version of [/jobs/ext/4571760-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4571760-forward-deployed-engineer). 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).

---

# Forward Deployed Engineer

- **Company:** Comprehensive Resources Inc.
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Business Intelligence Development, BigQuery, Code Review, Continuous Integration, Information Engineering, Data Warehousing, Python (Programming Language), Operational Databases, Performance Tuning, Power BI, Standard Sql, Software Engineering, Tableau (Software), Google Data Studio, Git, Build Management, Information Technology, Looker Analytics, Data Pipelines, Api Management
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/66714704-abc5-478a-8bf3-807df7fbd8ba

## About the Role

* Bachelor's degree in Computer Science, Engineering, Data Science or a related field, or equivalent practical experience.
 * 2-5 years in data engineering, analytics engineering or BI development, including 1+ year of hands-on LookML.
 * Strong SQL and BigQuery; experience building and running production data pipelines.
 * Working software engineering practice: Git, code review, testing and CI/CD.
 * Comfortable embedding with customer teams, handling ambiguity and delivering in agile sprints.
 * Clear communicator with a collaborative, customer-first mindset.

Preferred

 * Python, Dataform or dbt, Looker API and SDKs, Looker extension framework.
 * Conversational analytics, AI assistants in BI and data warehouse tools, or agentic workflows built on a semantic layer.
 * BI migration tooling; translating Tableau, Power BI or Looker Studio assets into LookML.
 * Associate or Professional Data Engineer, or Looker certifications.

## Description

Summary: A hands-on engineer embedded directly with customer business units to build, deploy and optimize data pipelines, semantic definitions and automated cloud workflows. You will build production-grade data foundations for analytics and conversational AI, and leave behind durable, documented capability when the engagement ends., * Build and deploy: Develop LookML models, Explores, dashboards, data apps and BigQuery pipelines in customer development and sandbox environments, moving prototypes to production.

 * Semantic definitions: Implement governed metrics, dimensions and access controls in LookML to the architecture blueprint; deliver LookML pattern examples for conversational search and semantic discovery.
 * Workflow automation: Build CI/CD for LookML, Dataform or dbt pipelines, scheduled deliveries and API integrations that cut manual maintenance.
 * Adoption sprints: Work in agile, team-by-team sprints with customer analysts and engineers to unblock technical paths and secure early wins.
 * Performance optimization: Profile and tune query performance, model structure, caching and aggregate strategies.
 * Enablement and handoff: Co-develop with customer engineers, write documentation, and support train-the-trainer programs that build internal champions.
 * Field feedback: Capture platform friction and feature gaps and relay them through the appropriate vendor channels.