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2 months ago
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.
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button.
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:
You'll 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
You'll 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)
You'll 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. You'll implement automated workflows that lower manual/operational cost for team members, define and uphold SLAs for timely delivery of data, 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 #LI-Remote
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
You've spent 4+ years as a data engineer building core datasets.
You are passionate about analytics use cases, data models and solving complex data problems.
You have 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)
You have 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)
Willingness to participate in professional development activities to stay current on industry knowledge and 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.
We’ve noticed a rise in recruiting impersonations across the industry, where individuals are sending fake job offer emails. Contact from any of our recruiters or employees will always come from an email address ending with @block.xyz, @squareup.com, @tidal.com, or @afterpay.com, @clearpay.co.uk.
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