Staff Data Engineer (Mailchimp)

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve.
Data
Staff Software Engineer
Contact Company
5,000+ Employees
7+ years of experience
Finance · Enterprise SaaS

Description For Staff Data Engineer (Mailchimp)

Intuit is seeking a Staff Data Engineer for Mailchimp, a part of their global financial technology platform. The role is within the Data Products team, responsible for building capabilities that enable better decision-making with data across the company. As a technical leader, you'll lead experimentation delivery and data enablement, influencing architecture and technical roadmap. You'll work on building governed datasets, optimizing ETL pipelines, and creating data models in Looker. The ideal candidate should have strong communication skills, experience in product telemetry, and the ability to partner with various teams to develop end-to-end data solutions. This role offers the opportunity to become a subject matter expert on Mailchimp's datasets and tools, contributing to the company's data-driven decision-making processes.

Last updated 9 days ago

Responsibilities For Staff Data Engineer (Mailchimp)

  • Understand and influence product telemetry practices to support experimentation needs
  • Work effectively with leaders in product, data science, and engineering
  • Partner with teams across the business and third parties to understand their needs and develop end-to-end data solutions
  • Model data to create core, governed data sets for the entire company to leverage
  • Build scalable transformation pipelines for data cleaning, normalization, and governance
  • Build tools and processes to make the right data accessible to the right people
  • Become a subject matter expert on Mailchimp's datasets and tools

Requirements For Staff Data Engineer (Mailchimp)

Python
  • 7+ years of experience as a Software Engineer or educational background in a quantitative field
  • Strong communication skills
  • Strong technical accomplishments in SQL and data analysis skills
  • Experience with MPP databases (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
  • Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
  • Experience with GCP/AWS or other cloud providers

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