Data Engineer, Sales
- Full-time
Company Description
Job Description
As a Sales Data Engineer, you will build and maintain foundational data infrastructure essential to driving Square’s revenue growth and accelerating seller acquisition. You will work closely with Sales Strategy & Operations, Business Intelligence, Data Science, and Platform Engineering teams to build best-in-class data pipelines and processes that stitch together complex sets of data stores and drive large investment decisions. Your work will have a direct impact on hundreds of stakeholders at Square.
You will:
Be the expert on end-to-end data flow for Sales and related teams
Design, build, and maintain critical data pipelines to ensure highly accurate and reliable business reporting
Monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders
Bridge gap between business requirements and ETL logic by troubleshooting data discrepancies and implementing scalable solutions
Make data model and ETL code improvements to improve pipeline efficiency and data quality
Own data import/export pipelines and incorporate into existing workflows to enable reporting and optimization efforts
Work with Sales Strategy & Operations to own, improve, and maintain all sales data infrastructure, including compensation, metrics, and ad-hoc reporting and analysis
Qualifications
You have:
4+ years experience in a data engineering or business intelligence role supporting Marketing or Sales organizations
Expertise in SQL, especially within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift
Experience with ETL scheduling technologies with dependency checking, such as Airflow, as well as schema design and dimensional data modeling
Experience with Python, ability to work with numpy, pandas and sklearn libraries is a plus
Experience with Linux/OSX command line version control software (git)
Strong business intuition and ability to understand complex business systems, data architecture, and software design patterns
Excellent communication skills, particularly when explaining technical matters to less technical co-workers
Experience with Salesforce data infrastructure is a plus
Experience with Tableau and Looker data visualization technologies is a plus
BS degree in Engineering, Computer Science, Math or a related technical field