Principal Analytics Engineer

Global financial technology platform powering prosperity through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
$205,000 - $285,500
Data
Principal Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Finance · Enterprise SaaS

Description For Principal Analytics Engineer

Intuit, a global financial technology leader serving 100 million customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, is seeking a Principal Analytics Engineer for their Data Innovation team. This newly formed organization focuses on driving forward all aspects of data initiatives to solve both internal and external customer problems.

As a Principal Analytics Engineer, you'll be at the forefront of data innovation, working closely with Data PMs to execute strategic data initiatives. Your role will involve deep diving into pipeline code, creating POCs, driving API integrations, and implementing marketing attribution logic. The position requires someone who can balance speed with data quality and delivery, bringing a pragmatic approach to engineering while maintaining a bias for action.

The ideal candidate brings 8+ years of experience in complex data domains, with mastery in SQL and Python, and proficiency in Spark. You'll need to demonstrate the ability to work independently, manage multiple priorities, and thrive in an ambiguous, fast-paced environment. This role offers competitive compensation ranging from $205,000 to $285,500, depending on location and experience.

This is an excellent opportunity for a seasoned data professional who enjoys mentoring others, can wear multiple hats, and is passionate about using data to drive real business outcomes. You'll be joining a company committed to powering prosperity for its customers and communities, with a culture that values innovation and continuous improvement.

Last updated 12 days ago

Responsibilities For Principal Analytics Engineer

  • Partner with Data PM on end-to-end pillar execution
  • Dive deep into code and evaluate legacy logic
  • Develop and rapidly iterate on new applications of data
  • Work with multiple coding languages and learn new ones as needed

Requirements For Principal Analytics Engineer

Python
  • 8+ years of experience in complex data domains
  • Startup mindset with ability to wear multiple hats
  • Ability to work independently and meet aggressive timelines
  • Highly advanced SQL skills, Python mastery, Spark proficiency
  • Proficient in data and analytics tools
  • Ability to operate in ambiguous environments
  • Comfortable with imperfect but valuable solutions
  • Passionate about mentoring others

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