Staff Data Engineer, Square Banking

Company Description

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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.

So we expanded into software and started building integrated, omnichannel solutions to help sellers sell online, manage inventory, offer buy now, pay later functionality through Afterpay, 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, credit card, and loans to help our sellers manage their business cash flow.

Investing in a Financial Data Mesh Platform is not just about managing data; it's about unleashing the full potential of our organization's most valuable asset.

It’s a critical strategic move that not only empowers us to use the distinctive value of data but also extends its positive impact to our customers, our Sellers, and users of the Banking platform.

As an Engineer focused on Data for Square Banking, you will help us build our own Square Banking Financial Data Mesh Platform, using real-time Big Data technologies and Medallion architecture.

You will work directly with product, engineering, data science and machine learning teams to understand their use-case, develop reliable, trusted datasets that accelerate the decision-making process of important products.

You will :

• Design large-scale, distributed data processing systems and pipelines to ensure efficient and reliable data ingestion, storage, transformation, and analysis
• Promote high-quality software engineering practices towards building data infrastructure and pipelines at scale
• Build core datasets to serve as unique sources of truth for product and departments (product, marketing, sales, finance, customer experience, data science, business operations, IT, engineering)
• Partner with data scientists and other cross-functional partners to understand their needs and build pipelines to scale
• Identify and address data quality and integrity issues through data validation, cleansing, and data modeling techniques.

Implement automated workflows that lower manual / operational cost for team members, define and uphold SLAs for timely delivery of data, and move us closer to democratizing data and a self-serve model (query exploration, dashboards, data catalog, data discovery)

• Learn about Big Data architecture via technologies such as AWS, DataBricks and Kafka
• Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development
• Mentor and provide guidance to junior data engineers fostering inclusivity and growth
• Work remotely with a team of distributed colleagues
• Report to the Engineering Manager of Banking - Data Engineering

Qualifications

You Have :

• 8+ years as a data engineer or software engineer, with a focus on large-scale data processing and analytics
• 4+ years as a data engineer building core datasets
• A passion about analytics use cases, data models and solving complex data problems
• Hands-on experience shipping scalable data solutions in the cloud (e.g AWS, GCP, Azure), across multiple data stores (e.

g Databricks, Snowflake, Redshift, Hive, SQL / NoSQL, columnar storage formats) and methodologies (e.g dimensional modeling, data marts, star / snowflake schemas)

• Hands-on experience with highly scalable and reliable data pipelines using BigData (e.g Airflow, DBT, Spark, Hive, Parquet / ORC, Protobuf / Thrift, etc)
• Optimized and tuned data pipelines to enhance overall system performance, reliability, and scalability
• Knowledge of programming languages (e.g. Go, Ruby, Java, Python)
• A willingness to participate in professional development activities to stay current on industry knowledge and a passion for trying new things

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 $202,500 - USD $247,500

Zone B : USD $192,400 - USD $235,200

Zone C : USD $182,300 - USD $222,800

Zone D : USD $172,200 - USD $210,400

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Full-time employee benefits include the following :

• Healthcare coverage (Medical, Vision and Dental insurance)
• Health Savings Account and Flexible Spending Account
• Retirement Plans including company match
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1 : 1 financial planners, and a monthly wellness allowance
• Paid parental and caregiving leave
• Paid time off (including 12 paid holidays)
• Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
• Learning and Development resources
• Paid Life insurance, AD&D, and disability benefits

These benefits are further detailed in Block's policies. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus.

Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies.

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace.

Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process.

We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page .

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

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