Data Engineer, Marketing

  • San Francisco, CA
  • Employees can work remotely
  • Full-time
  • Alternate Location: New York, United States
  • Position open to remote: Yes
  • Current Square Employee?: Apply via go/jobs with your Square email.

Company Description

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Job Description

As a Data Engineer on the Marketing team, you will join an organization whose mandate is to develop foundational data and reporting infrastructure to driving Square's revenue growth and accelerating seller acquisition. You will collaborate and work with teams across Square to build outstanding data pipelines, dashboards and processes that stitch together complex sets of data stores and guide large investment decisions. Your work will have an impact on hundreds of partners at Square.

You Will:

  • Develop data foundation and reporting infrastructure to ensure accurate and reliable business reporting
  • Partner with business leads and cross-functional teams to understand their data and reporting requirements and translate them into Product Requirement Definition (PRD), technical specifications and scalable implementation
  • Be the expert on end-to-end data flow for Marketing
  • Implement data model and ETL code improvements to improve pipeline efficiency and data quality

Qualifications

You Have:

  • 2+ years experience in Data Engineering or similar role
  • Expert knowledge in writing complex SQL and ETL development with experience processing extremely large datasets within cloud-based data warehouses such as Snowflake, Google BigQuery, and Amazon Redshift
  • Experience working with business teams on complex problems and can translate them to efficient, scalable and easy to maintain data engineering solutions and data visualization
  • Knowledge in data modeling concepts and implementation
  • Expertise in visualization technologies such as Tableau and/or Looker
  • Experience with Python
  • Experience with Linux/OSX command line, version control software (git), and general software development
  • BS degree in Engineering, Computer Science, Math or a related technical field

Technologies we use and teach:

  • SQL and Python
  • Looker, or other data visualizations technologies
  • ETL scheduling technologies with dependency checking such as Airflow
  • Linux/OSX command line, version control software (git)

Additional Information

At Square, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)squareup.com. We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible.

Perks

At Square, 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