Data Engineer, Commerce Platform

Location: Atlanta, GA

*** Mention DataYoshi when applying ***

Company DescriptionSquare 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

Data Engineers on the Commerce Platform Product Analytics team work alongside our Data Scientists and product teams to leverage engineering, analytics, statistics, and machine learning to empower data-driven decision making in product development. Data Engineers support Square’s mission of economic empowerment, by building understanding and empathy with our customers, enabling us to build a remarkable product experience.

You will:

  • Develop and take ownership of the CP Analytics data warehouse, related data pipelines, and comprehensive reporting dashboards to empower data access and self-service, and to instrument critical business metrics.

  • Partner with business stakeholders to understand and translate business requirements into technical design of building scalable data pipelines.

  • Perform heuristic analysis of drivers of business metrics, insight requests, and data extractions to resolve business issues

  • Develop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful


You have:

  • Bachelor’s degree with minimum of 3 years working experience in a successful data engineering or business intelligence team

  • Expert knowledge in data modeling concepts and implementation

  • Strong technical accomplishments in SQL, ETLs and data analysis

  • Hands on experience in processing extremely large data sets.

  • Strong business intuition and ability to understand complex business systems

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

Even better:

  • Familiarity with technologies such as Airflow

  • Experience with Snowflake database

  • Work experience with Python or any programming language

  • Experience with visualization technologies such as Looker

  • Knowledge of payment network transactional data and event logging data

Technologies we use and teach:

  • SQL (Snowflake)

  • Python (pandas, scikit-learn, etc.)

  • ETL

  • Looker, Amplitude

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) 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.


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

*** Mention DataYoshi when applying ***

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