As a Data Engineer on the Marketing Data Engineering team, you will join an organization whose mandate is to build and maintain foundational data infrastructure essential to driving Square’s revenue growth and accelerating seller acquisition. You will work closely with marketing analytics and demand generation 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 Marketing paid search and display channels

• Understand business context and translate stakeholder needs into ETL requirements

• Design, build and maintain critical data pipelines to ensure highly accurate and reliable business reporting

• Analyze new data sources and work with stakeholders to understand the impact of integrating new data into existing pipelines and models

• Monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders

• Bridge the 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

• Build and own data import/export pipelines and incorporate into existing workflows to enable reporting and optimization efforts

You Have:

• At least 5  years experience in data engineering or similar discipline preferably supporting Marketing organizations

• Expertise in SQL, especially within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift

• Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including design, development, testing, deployment, and documentation.

• Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as schema design and dimensional data modeling

• Experience with Linux/OSX command line, version control software (git)

• Working experience with Python

• 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 working with REST API’s is a plus

• Experience with data visualization technologies such as Looker is a plus

• BS degree in Engineering, Computer Science, Math or a related technical field

• Healthcare coverage
• Retirement Plans
• Employee Stock Purchase Program
• Wellness perks
• Paid parental leave
• Paid time off
• Learning and Development resources

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page. 

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

Perks

We want you to be well and thrive. Our global benefits package includes:

• Healthcare coverage
• Retirement Plans
• Employee Stock Purchase Program
• Wellness perks
• Paid parental leave
• Paid time off
• Learning and Development resources

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.