Staff Data Engineer, Experimentation Platform

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CASan Diego, CA
Salary
$202,500–$274,000 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k
This role $238k
$135k $289k
below market most similar roles pay here above market

This role pays more than 76% of similar roles. Most pay $149,500–$234,103 — the blue band above. At the midpoint, this role pays about $238k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 245 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 228 roles with salary data.

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At a glance

TL;DR · Staff Data Engineer, Experimentation Platform

The Staff Data Engineer - Experimentation Platform joins the Intuit Experimentation Team to build and maintain an enterprise-wide platform for moving from hypothesis to action. This role involves partnering with Engineering, ML, Search, Data Science, and Analytics practitioners to drive innovation through analytics, causal inference, experimentation, and machine learning. You will lead the design, analysis, and interpretation of experiments, perform data exploration on engagement behaviors, and validate metrics to measure product success. Key responsibilities include building reusable frameworks, SDKs, and platform libraries. Required technical skills include coding in Java, Javascript, Go, Python, SQL, and Scala, alongside experience with Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, or Google Cloud. You must also possess expertise in data warehouse design, data modeling, and statistical concepts like p-values.

What does a Data Engineer earn in California?

Median $194100 from 39 postings across 22 companies.

See salary data

What you'll do

  • Identify and apply analytics, causal inference, experimentation, and machine learning techniques to solve business problems.
  • Lead the design, analysis, and interpretation of experiments to drive product decisions.
  • Proactively perform data exploration on engagement behaviors to discover future opportunities.
  • Identify, compute, and validate appropriate metrics to measure success in specific product areas.
  • Build reusable frameworks, SDKs, or platform libraries for consumption by other engineering teams.
  • Present research and insights to stakeholders at all levels of the company.
  • Partner with cross-functional teams to manage end-to-end product development.

What we're looking for

  • BS or MS in Statistics, Mathematics, Engineering, or a related quantitative field.
  • 8+ years of coding experience in Java, Javascript, Go, or equivalent.
  • 8+ years of experience designing and operating high-throughput, low-latency distributed systems that process data at petabyte scale.
  • Prior experience focused on experiment design and/or A/B testing at scale.
  • Ability to demonstrate application of statistical underpinnings including hypothesis testing, p-values, and causal inference.
  • Proven experience as a Data Engineer with a strong background in data warehouse design and data modeling.
  • Expertise in SQL and big data technologies such as Hadoop, Spark, or Kafka.
  • Strong programming skills in Python, Java, SQL, and Scala.

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