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Principal Business Intelligence Engineer

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: Prodege, LLC
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Principal Business Intelligence Engineer

This Principal Business Intelligence Engineer role is integral to Prodege’s ability to make fast, confident, and data‑driven decisions  Principal BI Engineer will architect and evolve our analytics and reporting foundation—ensuring business leaders, Product, and Data Science teams have trusted, performant, and scalable access to insights. This role bridges business strategy and engineering execution, enabling long‑term growth across Performance Marketing, Insights Yield, and Consumer Experience.

A cutting‑edge marketing and consumer insights platform, Prodege has charted a course of innovation in the evolving technology landscape by helping leading brands, marketers, and agencies uncover the answers to their business questions, acquire new customers, increase revenue, and drive brand loyalty & product adoption. Bolstered by a major investment by Great Hill Partners in Q4 2021 and strategic acquisitions of Pollfish, Bit Burst & AdGate Media in 2022, Prodege looks forward to more growth and innovation to empower our partners to gather meaningful, rich insights and better market to their target audiences.

As an organization, we go the extra mile to “Create Rewarding Moments” every day for our partners, consumers, and team. Come join us today!

Primary Objectives
  • Architect and scale Prodege’s BI and analytics platform for long‑term performance and reliability
  • Design high‑quality analytics data models that power consistent and trusted reporting
  • Enable fast, self‑serve analytics without compromising governance or data integrity
  • Partner with Product, Data Science, and business teams to translate needs into durable solutions
  • Raise the bar on analytics engineering standards, tooling, and best practices
  • Leverage AI‑based development and analytics tooling to accelerate delivery and quality
Must Haves
  • 8+ years of experience in BI, Analytics Engineering, or Data Engineering
  • Strong hands‑on expertise with Snowflake, dbt, Sigma (or comparable BI tools with semantic modeling experience), and Advanced SQL optimization
  • Experience building production‑grade analytics solutions, not just ad‑hoc reports
  • Strong understanding of analytics architecture, data modeling, and performance tuning
  • Proven ability to collaborate with Product, Data Science, and business stakeholders
  • Experience using AI‑based tooling to enhance analytics or developer productivity
Nice to Haves
  • Experience in ad tech, performance marketing, marketplaces, or consumer platforms
  • Familiarity with streaming or near‑real‑time analytics architectures
  • Experience enabling analytics governance and metric standardization at scale
  • Mentorship or technical leadership experience
  • Exposure to ML‑driven analytics or experimentation platforms
Detailed

Job Duties
  • Design, build, and maintain scalable BI and analytics architectures
  • Develop and manage dbt models on Snowflake, ensuring performance, accuracy, and maintainability
  • Write, optimize, and tune complex SQL queries for large‑scale datasets
  • Build and maintain dashboards, metrics, and semantic layers using Sigma
  • Work closely with Product and Data Science to define metrics, KPIs, and reporting requirements
  • Enable and support self‑serve analytics while enforcing metric consistency and governance
  • Leverage AI‑powered tools to improve development velocity, validation, and documentation
  • Mentor BI and analytics engineers and influence engineering standards across the organization
What does SUCCESS look like?

Success means that business and product leaders trust analytics as their single source of truth, supported by fast, reliable, and widely adopted dashboards that drive confident decision‑making. Analytics models scale seamlessly with the business, eliminating constant rework, while BI delivery speed improves without sacrificing quality or consistency. There is strong alignment across Product, Data Science, and Tech on analytics priorities, ensuring unified execution.

As a result, self‑serve analytics adoption increases and ad‑hoc reporting meaningfully declines as teams become more empowered and data‑driven.

Benefits

Prodege offers a comprehensive benefits package to US Full‑time employees including medical,…

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