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Director of Clinical Operations
Dearest Care
Remote, United States
DIRECTOR OF CLINICAL OPERATIONS - JOB DESCRIPTION
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Mission Operations Engineer (Platform)
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DevOps Engineer
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ID1 Bench Engineer
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Join us at Micron, where we transform how the world uses information to enrich life for all. As a Bench Equipment Engineer, you'll be a pivotal part of our high-reaching team in Boise, ID,…
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Sr. Avionics Systems Engineer (Special Programs) - Top Secret Clearance
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Operations Supervisor, Supply Chain - 2nd Shift
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Intuit

Staff Data Engineer - Experimentation Platform

Mountain View, CA, United States
San Diego, CA, United States

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Job details

Posting language: English
Posted: Nov 3, 2026

Original job description

Are you passionate about empowering people to test the impact of their ideas? Are you motivated by data-driven decisions? If 'yes', then the Intuit Experimentation Team (IXP) could be the right team for you. The experimentation team builds and maintains the Intuit experimentation Platform, an enterprise-wide capability for moving rapidly and reliably from hypothesis to action. At Intuit, all teams (TurboTax, Mint, and QuickBooks to name a few) use IXP. Our aim is to give every individual at Intuit a voice by providing them a platform where they can test their ideas and have data from their experiments backing their ideas.

We have:

An opportunity for you to influence the experimentation program at Intuit.
An opportunity for you to enable innovation across Intuit with your contributions to the experimentation platform
An opportunity to work with the latest technology and frameworks.
An opportunity to work with a collaborative, customer-obsessed, and diverse engineering team.

Responsibilities

You will partner closely with a world-class org of Engineering, ML, Search, Data Science, Data Engineering, and Analytics practitioners who work together to create a variety of capabilities for Intuit to be more successful in its decision-making and product creation
You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning
This is a high-impact role in which you will have a direct influence on how product decisions are made
Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunities
Identify, compute and validate the appropriate metrics to measure success in a product area
Cultivate strong partnerships with cross-functional stakeholders from product, engineering, operations, design, consumer research, etc
Present your research and insights to all levels of the company

Qualifications

BS or MS in Statistics, Mathematics,Engineering or 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
Able to demonstrate application of the statistical underpinnings of experimentation: hypothesis testing, p-values, causal inference, etc
Familiar with statistical analysis and programming languages (e.g. R / Python)
Proven experience as a Data Engineer, with a strong background in data warehouse design and data modeling.
Expertise in SQL and experience with big data technologies such as Hadoop, Spark, Kafka, or similar.
Experience with data visualization tools and platforms such as Tableau, Power BI, or similar.
Experience building reusable frameworks, SDKs, or platform libraries consumed by other engineering teams - you think about developer experience as a product
Strong programming skills in Python, Java, SQL and Scala.
Experience in cloud platforms like AWS, Azure, or Google Cloud
Familiarity with machine learning algorithms and their application in data analysis.
Ability to work independently and partner with cross functional teams to manage end to end product development
Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is:

Mountain View $202,500 - $274,000 San Diego, CA $188,500- $255,000

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More about this job

Skills

Intuit TurboTax
Intuit QuickBooks
ML
Data engineering
Decision making
Research
Statistics
Oracle Java
JavaScript
Go
Manage quantitative data
Programming languages
R
Python
Data warehouse
Data modelling
SQL
Apache Hadoop
Apache Spark
Apache Kafka
Data visualization
Tableau
Microsoft Power BI
Scala
AWS
Microsoft Azure
Google Cloud
Machine learning
Data analysis
Work independently

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