Principal Engineer - Data, Square Banking

Company Description

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

To solve this problem, we expanded into software and built integrated solutions to help sellers sell online, manage inventory, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

Job Description

The Square Banking team is building a suite of new financial products for Square sellers. We offer business checking accounts, savings accounts, and loans to help our sellers manage their business cash flow.

As a Principal Engineer focussed on Data for Square Banking, you will lead and influence the data strategy for Square Banking and Square more broadly. You will partner with the global banking leadership team to build remarkable financial services experiences for our customers and drive toward a global architecture that enables us to rapidly expand our growing suite of banking products into new international markets. This impactful and visible role requires a leader who can build a long-term vision for the space, inspire the team, drive execution, and influence across Square’s ecosystem of products. Sound like you? Read on.

You will:

• Lead large cross-organizational and multi-person projects and partner with engineering teams and stakeholders to help build and align the infrastructure for banking use cases
• Cultivate mentorship and level up the capabilities of teams and individuals around you
• Help set broad direction and vision, influence engineering and business strategy, and establish practices to efficiently and effectively address customer needs
• Proactively identify new opportunities and future needs of our Data and ML teams
• Guide and participate in critical technical, design, and product discussions with leaders across our various product, data science, operations, and engineering teams
• Understand Big Data architecture. Design then implement highly effective automated methods to build and update data infrastructure for Banking products
• Leverage data technologies On-prem, AWS, DataBricks, GCP, SaaS and enable stakeholders to solve their data challenges
• Be responsible for the successful delivery and evolution of projects with organizational impact, including planning, documenting processes and infrastructure, determining operation metrics, rollout, and maintenance.

Qualifications

You Have:

• 11+ years of software engineering experience
• A bachelor's degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field (A graduate degree is preferable.)
• Excellent software development skills and architectural design skills
• Experience working with product, business, and engineering to prioritize, scope, design, and deploy ML models
• Familiarity with Python, MySQL, Snowflake, Airflow, Java/Go, Spark
• Hosted models for inference on public clouds like GCP, AWS and/or built micro-services to facilitate event based triggering, feature generation, model inference, and downstream actioning
• Experience collaborating with product managers, data analysts, and other engineering and cross-functional leaders 
• Knowledge of programming languages (e.g. Go, Ruby, Java, Python)
• Knowledge of cloud concepts and systems (e.g. AWS, GCP, Azure)
• Relevant engineering experience in lending, finance, accounting, or similar domains

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $245,100 - USD $29