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Omni Analytics

Unified analytics platform with governed metrics

Frontend Engineer - Data Visualization

Frontend EngineeringConfirmed live in the last 24 hours
Full-time$160k - $250k /yr

About the Job

Requirements

  • At least 5 years of software engineering experience, including at least 2 years operating at a senior level.
  • Deep, demonstrable experience in data visualization, ideally with industry recognition or a strong portfolio of shipped visualization work.
  • Strong proficiency with TypeScript or JavaScript.
  • Experience with data or business intelligence tools or applications such as SQL, Looker, Tableau, Mode, Amplitude, or Google Analytics.
  • Demonstrated ability to set technical vision and influence a team without requiring formal authority.
  • Proficiency with AI coding tools and workflows such as Claude Code or Cursor.

Responsibilities

  • Set technical direction and the North Star for Omni's data visualization capabilities.
  • Partner with the Product Manager and engineering team to translate visualization strategy into shipped features.
  • Bring industry best practices and experience to improve visualization quality and performance.
  • Design and build front-end visualization components and the underlying data pipelines that power them.
  • Mentor and technically guide engineers already working on the visualization work stream.
  • Move quickly and ship iteratively, refining work based on customer feedback.
  • Use AI coding tools such as Claude Code to maximize velocity and focus on the highest-leverage technical work.

Desired Qualifications

  • Startup experience.
  • Experience building data products.
  • Familiarity with data warehouses such as Snowflake, BigQuery, or Redshift.
  • Background in data visualization research or academic work.

About the Company

Omni Analytics

Unified analytics platform with governed metrics

Omni Analytics is a cloud-native business intelligence and data analytics platform that unifies fast ad-hoc exploration with governed metrics. It uses a shared semantic model as the single source of truth so end users can query data via SQL, spreadsheets, or natural language while data teams maintain consistent logic. The Meld engine enables schema-flexible joins and bidirectional modeling, with write-back to the central logic and AI features anchored to the semantic model for trusted insights. It integrates with Snowflake, BigQuery, and Databricks and targets mid-to-large enterprises, offering core BI and embedded analytics to align decisions across departments.

Company size
501-1,000
Company stage
Series C
Total funding
$218.4M
Headquarters
San Francisco, CA
Founded
2022

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