Software Engineer, Data Infrastructure

  • San Francisco, CA
  • Employees can work remotely
  • Full-time

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 Software Engineer on the Platform Infrastructure Engineering team, you will develop and maintain data infrastructure necessary to the continued growth of Square. You will collaborate with many teams across Square to understand data needs and turn those needs into data infrastructure and services, monitor and maintain the health of the data infrastructure, and have an impact on the data ecosystem within Square.

You will: 

  • Create and maintain our real-time data pipeline
  • Build ELTs to consume data from multiple sources, including relational databases, event streams, and third-party data, all populating our data warehouse and other data stores
  • Work with various infrastructure and operations teams to maintain our data infrastructure
  • Help build and maintain services and tooling to ensure resiliency, fix data discrepancies, and enhance the customer experience
  • Monitor daily execution, diagnose and log issues, and fix pipelines to ensure SLAs are met with internal stakeholders


  • 3+ years experience in Data Engineering, Software Engineering, or similar role
  • 3+ years experience writing complex SQL and ETL development, processing large datasets with cloud-based warehouses like Snowflake, Google BigQuery, and Amazon Redshift
  • 3+ years experience working with relational databases
  • Strong experience at least one of Python or Java
  • Experience with message queues (such as Kafka, Kinesis)
  • Experience working in and deploying to cloud environments, like AWS, GCP
  • Experience working with task scheduling frameworks like Airflow and Luigi
  • Experience with container deployment platforms and tools, such as Kubernetes, Docker, Helm, and Terraform
  • Bonus: Experience with asyncio Python
  • Bonus: Experience with Javascript / Vue

Technologies we use and teach: 

  • SQL and Python
  • Kafka and Confluent platform
  • Snowflake and MySQL
  • Airflow
  • Kubernetes, Docker, Helm, and Terraform
  • AWS, GCP

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