Data Engineer, Business Intelligence

  • San Francisco, CA, USA
  • Employees can work remotely
  • Full-time
  • Alternate Location: Oakland, United States

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 Business Intelligence Data Engineer, you will be responsible for defining, developing and managing curated datasets, key business metrics and reporting across functional units at Square.  You will architect, implement and manage data models and ETLs that will enable product and business teams access consistent metrics across Square ecosystem. You are a self-starter and you are comfortable working cross-functionally with other teams across Square.

You will:

  • Partner with business stakeholders, upstream infrastructure platform engineering teams and downstream data consumers to understand data and translate business requirements into technical design of building scalable data pipelines. 

  • Develop and take ownership of BI data pipelines and centralized data warehouse with trustworthy curated datasets and standardized metrics and business definitions to empower data access and self-service

  • Perform data analysis and troubleshoot technical issues with platforms, performance, data discrepancies, production issues

Qualifications

You have:

  • 2+ 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 using SQL and Python, and building reports with Looker or similar BI visualization tools.

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

  • Excellent communication skills with strong business intuition and ability to understand complex business systems; versatility and willingness to learn new technologies on the job.

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

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.

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