Data Engineer, Square for Retail

  • Atlanta, GA, USA
  • Employees can work remotely
  • Full-time
  • Alternate Location: Los Angeles, United States
  • Position open to remote: Yes

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

From the cozy local wine store to the trendy sneaker pop-up, the Retail team at Square is finding new ways to equip retail sellers and their staff with the tools they need to succeed. Working to further Square's mission of economic empowerment, Data Engineering seeks to understand, empathize with, and empower our customers to build a remarkable product experience.

You will:

  • Develop and take ownership of Retail data mart, 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

Qualifications

You have:

  • 5+ years of data engineer experience in a successful data engineering or business intelligence team with expert knowledge of data warehouse architecture and hands on experience of data modeling design, ETL pipeline implementation and building reports with Looker or similar BI visualization tools.

  • Hands on experience in cloud-based computing services and data warehouses like Snowflake, Redshift, Azure, or similar technologies.

  • Strong communication, business intuition, and empathy partnered with the ability to understand complex business systems

  • An openness to learning new languages

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