Senior BI Engineer (Looker)

Mountain View, California, United States

Full Time Senior-level / Expert USD 165K - 185K

Harness

Enhance DevOps with AI-Native CI/CD, feature flags, chaos engineering, and cloud cost management to secure & streamline software delivery.

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Posted 1 day ago

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues to expand at an incredibly fast pace. Harness is led by technologist and entrepreneur Jyoti Bansal, who founded AppDynamics and sold it to Cisco for $3.7B. We’re backed with $425M in venture financing from top-tier VC and strategic firms, including J.P. Morgan, Capital One Ventures, Citi Ventures, ServiceNow, Splunk Ventures, Norwest Venture Partners, Adage Capital Partners, Balyasny Asset Management, Gaingels, Harmonic Growth Partners, Menlo Ventures, IVP, Unusual Ventures, GV (formerly Google Ventures), Alkeon Capital, Battery Ventures, Sorenson Capital, Thomvest Ventures and Silicon Valley Bank.

Position Summary

This BI Engineering role at Harness.io supports the Cloud Cost Management team by managing and optimizing a white-labeled Looker integration to deliver insightful, high-quality product analytics solutions. You’ll work to build and maintain data models, and ETL processes, leading to in-product dashboards, dashboarding templates and enhancing Harness’ Cloud Cost Management’s analytics capabilities

About the role

Manage and optimize the Looker platform, integrated as a white-labeled solution within Harness.io’s Software Engineering Insights product.
Collaborate with engineering, product, and data science teams to design and implement BI, data visualization, and analytics solutions aligned with product and business goals.
Design and maintain scalable data models and ETL processes that support efficient data ingestion and transformation for reporting purposes.
Develop and “washboard” data models, SQL transformations, and LookML objects, ensuring data quality and alignment with reporting requirements.
Create and optimize Looker dashboards to support in-depth analysis, business KPIs, and real-time reporting, focusing on scalability and performance.
Implement data validation and quality checks to maintain high data integrity across the BI platform.
Conduct exploratory data analysis and provide actionable insights to guide product enhancements, user engagement strategies, and key decision-making processes.
Stay up-to-date on BI tools, best practices, and trends to continuously improve the efficiency and capabilities of the BI platform.

About you

3-6 years of experience in a BI Developer, BI Engineering, or Looker Admin role, ideally within a SaaS or tech environment.
Proficiency in Looker, including dashboard creation, LookML, and data visualization, with a strong grasp of BI best practices and performance optimization.
Background in computer science or a related technical field, with solid experience in SQL, data modeling, ETL processes, and handling large datasets.
Experience in working with data warehousing and relational databases (e.g., PostgreSQL, MySQL), as well as integrating data from diverse sources.
Familiarity with data pipeline tools and a willingness to contribute to ETL processes and data management.
Ability to collaborate effectively with cross-functional teams, including engineering, data science, and product, to translate business needs into technical requirements.
Strong analytical mindset, attention to detail, and adaptability to changing project priorities.
Nice-to-have: Experience with cloud platforms (e.g., AWS, GCP, or Azure), Python for data manipulation, and familiarity with version control systems like Git.