Staff Data Engineer (Mailchimp)

Global financial technology platform powering prosperity with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp, serving approximately 100 million customers worldwide.
Data
Staff Software Engineer
In-Person
Enterprise SaaS

Description For Staff Data Engineer (Mailchimp)

Mailchimp, now part of Intuit's global financial technology platform, is seeking a Staff Data Engineer to join their Data Products team. This role is crucial in building capabilities on their BI platform that enables team members across the company to make better data-driven decisions. The position involves working with cross-functional teams to understand their needs and surface data meaningfully across tools and teams.

The ideal candidate will be responsible for implementing complex data capabilities, building robust data pipelines, and managing data models in tools like Looker. You'll work with various technologies including GCP, Python, and modern data warehouse solutions like BigQuery. The role requires both technical expertise and business acumen to understand and solve complex data challenges.

As a Staff Data Engineer, you'll be at the forefront of building and optimizing ETL pipelines, creating data models, and ensuring data accessibility across the organization. You'll work with state-of-the-art tools and technologies while collaborating with teams across Mailchimp to drive business forward through effective data utilization.

The position offers the opportunity to work at Mailchimp's headquarters in Atlanta, where you'll be part of a dynamic environment that supports collaboration, innovation, and creativity. You'll play a key role in shaping how Mailchimp uses data to make strategic decisions and improve their products that serve millions of customers worldwide.

This is an excellent opportunity for an experienced data engineer who wants to make a significant impact at a company that values data-driven decision making and has a strong focus on helping businesses and communities prosper.

Last updated 10 days ago

Responsibilities For Staff Data Engineer (Mailchimp)

  • Implement the hardest part of data capabilities to provide a world class data platform
  • Partner with teams and third parties to understand needs and develop end-to-end data solutions
  • Build robust batch and streaming pipelines for data warehouse integration
  • Build scalable transformation pipelines for data cleaning, normalization, and governance
  • Manage and model data in Looker for collaborative data analytics
  • Build tools and processes for proper data accessibility
  • Become a subject matter expert on Mailchimp datasets and tools

Requirements For Staff Data Engineer (Mailchimp)

Python
Go
Java
  • Strong Experience with GCP/AWS
  • Strong Experience with Python, Go, Java or another OOP language
  • Experience with ETL orchestration tools like Apache Airflow and Google Dataflow
  • Strong technical accomplishments in SQL and data analysis skills
  • Experience with data transformation tools like dbt or Dataform
  • Experience with MPP databases such as BigQuery, Redshift, or Snowflake
  • Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
  • Strong business intuition and ability to understand complex business systems

Interested in this job?

Jobs Related To Mailchimp Staff Data Engineer (Mailchimp)

Cloud Business Intelligence Architect

Senior technical role architecting and implementing business intelligence solutions for Google Cloud customers, combining deep technical expertise with strategic consulting.

Senior Product Manager, Databases & Analytics, Google Cloud

Senior Product Manager position at Google Cloud focusing on Databases & Analytics, offering competitive compensation and opportunity to impact global cloud solutions.

Data Scientist, Research, Search Platform

Senior Data Scientist position at Google Search, focusing on advanced analytics and product improvement through data-driven insights.

Group Product Manager, AI Data Quality

Lead AI data quality initiatives at Google as a Group Product Manager, shaping the future of AI applications with a focus on Gemini.

Senior Data Scientist Manager, Product, LearnX

Lead data science initiatives at Google as a Senior Manager, driving product decisions through advanced analytics and team leadership.