Staff Data Engineer, Experimentation (Mailchimp)

The Data Products team at Mailchimp is responsible for building capabilities that enable peeps from across the company to make better decisions with data. This involves working with various teams to understand their needs and surface data meaningfully through tools and platforms to help drive the business forward. Day to day, you’ll be building governed datasets for analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker.We are looking for a technical leader to lead our experimentation delivery and data enablement capability. You will actively influence the architecture and technical roadmap within this scope and collaborate with stakeholders across the company to determine and inform prioritization. Knowledge of and/or prior experience working on experimentation is required, though prior experience on an Experimentation Platform team is not necessary.Responsibilities

Understand and influence product telemetry practices to support experimentation needs.Have strong communication skills and the ability to work effectively with leaders in product, data science, and engineering.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 datasets for the entire company to leverage.Build scalable transformation pipelines that enable teams to easily clean up, normalize, and govern data for broad consumption.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.Minimum Requirements

7+ years of experience as a Software Engineer and/or an educational background in a quantitative field such as Computer Science, Physics, Applied Math, or Statistics.Strong technical accomplishments in SQL and data analysis skills.Experience with MPP databases such as BigQuery, Redshift, or Snowflake. We use BigQuery here at Mailchimp.Familiarity with Python, Go, Java, or another OOP language. Most of our tools are primarily built in Python.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 and ability to understand complex business systems.Familiarity with additional transformation platforms like Apache Spark and Beam.Expertise in visualization technologies like Looker, Tableau, or Qlik Sense.Experience with GCP/AWS or other cloud providers.Bonus Points

Deep understanding of statistics, data science, or large-scale data processing.

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