Senior Data Platform Engineer (Mailchimp)

Intuit Mailchimp is the 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, multichannel campaigns, CRM, and analytics tools.

The Data Platform team at Mailchimp is responsible for creating and managing our BI platform that enables teams from across the company to make better decisions with data. This involves working with various stakeholders to understand their needs and provide data in a meaningful way to help drive the business forward. Day to day, you’ll be building ETL pipelines, modeling data for analytical reports and data science models, designing data access tools, or building data models in Looker. Our goal is to help Mailchimp use data more effectively.

Intuit Mailchimp is a hybrid workplace, allowing employees to collaborate in person with team members in our Atlanta or Mountain View office two to three days per week.

Responsibilities

• Partner with teams across the business and third parties to understand their needs and develop end-to-end data solutions.
• Build robust batch and streaming pipelines to send data to and from a variety of data sources (internal and third party) and our data warehouse.
• Build scalable transformation pipelines that enable teams to easily clean up, normalize, and govern data for broad consumption.
• Develop tools and processes to ensure the right data is accessible to the right people.
• Become a subject matter expert on the various datasets and tools we have at Mailchimp.
• Collaborate with Data Stewards to better document our data.

Minimum Requirements

• Experience building large scale data solutions in GCP or AWS.
• Proficiency in Python, Go, Java, or another OOP language (most of our tools are primarily built in Python).
• Experience with ETL orchestration tools like Apache Airflow and Google Dataflow.
• Familiarity with streaming systems like Debezium.
• Strong technical skills in SQL and data analysis.
• Experience with data transformation tools like dbt or Dataform.
• Experience with MPP databases such as BigQuery, Redshift, or Snowflake (we use BigQuery at Mailchimp).
• Expertise in visualization technologies like Looker, Tableau, or Qlik Sense.
• Strong business intuition and ability to understand complex business systems.