Staff Data Engineer, Experimentation (Mailchimp)

Global financial technology platform powering prosperity with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
$191,000 - $258,500
Data
Staff Software Engineer
In-Person
5,000+ Employees
7+ years of experience
Finance · Enterprise SaaS
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Description For Staff Data Engineer, Experimentation (Mailchimp)

Intuit's Mailchimp division is seeking a technical leader to spearhead their experimentation delivery and data enablement capability. As a Staff Data Engineer on the Data Products team, you'll be instrumental in building capabilities that enable teams across the company to make better decisions with data. The role involves working with various stakeholders to understand their needs and surface data meaningfully through tools and platforms.

The position requires a blend of technical expertise and leadership skills, focusing on building governed datasets, optimizing ETL pipelines, and creating data models in Looker. You'll be working with a diverse toolkit, all aimed at helping Mailchimp utilize data more effectively. The role demands strong expertise in data engineering, with particular emphasis on experimentation platforms and product telemetry.

As part of Intuit, a global financial technology platform serving approximately 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, you'll be contributing to a mission of powering prosperity for people and communities. The position offers competitive compensation, including a strong base salary range of $191,000 - $258,500, plus additional benefits and equity rewards.

The ideal candidate will bring 7+ years of software engineering experience, strong SQL skills, and familiarity with modern data engineering tools and cloud platforms. You'll need to demonstrate excellent communication skills and the ability to collaborate effectively with leaders across product, data science, and engineering teams. This role presents an exciting opportunity to shape the future of data-driven decision-making at a leading fintech company.

Last updated a month ago

Responsibilities For Staff Data Engineer, Experimentation (Mailchimp)

  • Understand and influence product telemetry practices to support experimentation needs
  • Partner with teams across the business and third parties to understand their needs and come up with end-to-end data solutions
  • Model data to create core, governed data sets for the entire company to leverage
  • Build scalable transformation pipelines
  • Build tools and processes to help make the right data accessible to the right people
  • Become a subject matter expert on the various datasets and tools at Mailchimp

Requirements For Staff Data Engineer, Experimentation (Mailchimp)

Python
Java
PHP
  • 7+ years of experience as a Software Engineer or educational background in Computer Science, Physics, Applied Math, or Statistics
  • Strong communication skills and ability to work with leaders in product, data science, and engineering
  • Strong technical accomplishments in SQL and data analysis skills
  • Experience with MPP databases such as BigQuery, Redshift, or Snowflake
  • Familiarity with Python, Go, Java or another OOP language
  • Familiarity with PHP and front-end technologies/concepts related to experimentation
  • Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow
  • Strong business intuition and ability to understand complex business systems
  • Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
  • Experience with GCP/AWS or other cloud providers
  • Deep understanding of statistics, data science, or large scale data processing

Benefits For Staff Data Engineer, Experimentation (Mailchimp)

Equity
  • Competitive compensation package
  • Cash bonus
  • Equity rewards
  • Benefits package

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