Intuit

Senior Data Engineer (Mailchimp)

Job description

Overview

Intuit is a global technology platform that helps consumers and small businesses overcome their most important financial challenges. Serving more than 100 million customers worldwide with TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Intuit Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multi channel campaigns, CRM, and analytics tools.

The Data Products team at Mailchimp is responsible for building capabilities on top of our BI platform that enables peeps from across the company to make better decisions with data. What that actually looks like is working with folks from across the company to understand their needs and then surface data in a meaningful way, across tools and teams, to help them drive the business forward. Day to day you’ll be building modeling data to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker or Qlik Sense. We have a lot of tools in our toolbelt, but all with the main goal of helping Mailchimp to continue to use data more effectively.

What you'll bring

  • Strong technical accomplishments in SQL and data analysis skills
  • BS in engineering or data related field
  • Experience with data transformation orchestration tools like dbt or Dataform
  • Strong business intuition and ability to understand complex business systems
  • Familiarity with additional transformation platforms like Apache Spark and Beam
  • Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp
  • Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
  • Experience with GCP/AWS or other cloud providers is preferred
  • Familiarity with Python, Go, Java or another OOP language. Most of our tools are primarily built in Python
  • Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow

How you will lead

  • 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 that enable teams to easily clean up, normalize, and govern data for broad consumption
  • Manage and model data in visualization tools, to provide a collaborative data analytics platform for the company
  • 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 we have at Mailchimp
  • Work with Data Stewards to better document our data

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