We believe everyone should be able to participate and thrive in the economy. So we’re building tools that make commerce easier and more accessible to all. We started with a little white credit card reader but haven’t stopped there. Our new reader helps our sellers accept chip cards and NFC payments, and our Cash app lets people pay each other back instantly. We’re empowering the independent electrician to send invoices, setting up the favorite food truck with a delivery option, helping the ice cream shop pay its employees, and giving the burgeoning coffee chain capital for a second, third, and fourth location. Let’s shorten the distance between having an idea and making a living from it. We’re here to help sellers of all sizes start, run, and grow their business—and helping them grow their business is good business for everyone.

Today our hardware carries over $30 billion in transactions annually. Measuring the performance of our hardware is critical to ensure that our merchant’s experience with Square is as seamless as possible.

We need your help to collect data about our hardware, organize that data, and make it available to analysts across Square.

As a Business Intelligence Data Engineer, you will be responsible for defining, developing and managing a variety of external data sources optimized for internal consumption.

You will:

• Partner with various stakeholders within the Hardware team to understand their priorities and to identify the right data sets to work on
• Be responsible for architecting and automating data pipelines to ingest a wide variety of mission-critical data
• Design and develop data structures to support flexible reporting and analysis of this data, including creating data models, structuring optimized ETLs, designing validation scripts
• Troubleshoot technical issues with platforms, data discrepancies, alerts etc
• Build robust systems to ingest flat files, collect data from external APIs and aggregate it in internal data warehouse
• Be the ambassador between the Hardware team and Square’s data infrastructure. Help the hardware team’s data producers embrace best-practices, represent the hardware team’s voice in data infrastructure planning discussions.

• 4+ years working in a successful business intelligence or data engineering team
• Expert knowledge of at least one mature programming language - Ruby (and Rails), Python, Java, Go, or similar
• Experience in data modeling concepts and implementation
• Strong technical accomplishments in SQL, ETLs; familiarity with technologies such as Airflow is a plus
• Experience with Linux/OSX command line, version control software (git), and general software development
• Hadoop/HIVE, Vertica or other Big Data storage handling experience
• Hands on experience in processing extremely large data sets

Even Better:

• Experience with ingestion and analysis of unstructured logging/telemetry data
• A love of electro-mechanical products and a passion to understand how they can make our merchants’ lives better

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.