About Us

Sunbit builds financial technology for real life. Our technology eases the stress of paying for life’s expenses by giving people more options on how and when they pay. Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sale payment option available at more than 16,000 service locations, including auto dealership service centers, optical practices, dentist offices, veterinary clinics, and specialty healthcare services. Sunbit was included on the 2022 Inc. 5000 list. The financial technology company has also been named as a Most Loved Workplace®, Best Point of Sale Company, and as a Top Fintech Startup by CB Insights. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere.

We invite you to #UnleashYourCuriosity and join our ever-growing R&D organization.

Check out the open positions & feel free to reach out with any questions!



What You’ll Do:

The mission of the data team leader is to drive the design, build and populate sunbit’s data landscape. You’ll be coordinating between data professionals, squad leaders, product managers, and your team to drive the data platform development process.

• Lead Team of Data Engineering (Analytics, ML, Streaming)
• Solve challenging data problems and utilize cutting-edge data technologies to gain business advantages
• Manage, develop and mentor your data engineering team to fulfill their potential and grow the next generation of data leaders
• Build scalable data pipelines for batch and stream processing in an evolving and growing startup.
• Coordinate with squad leaders, product managers, data analysts and data scientists.
  
  

Requirements:

Requirements:

• 5+ years of development experience.
• 3+ years of experience as a team leader
• Hands-on experience and understanding of data architectures.
• Experience in the development and deployment of large-scale high-performance systems.
• Self-motivated, motivated to learn and collaborate, an out-of-the-box thinker, and a problem-solver with great interpersonal communication skills.
• B.Sc in computer science or equivalent.
• Fluent in English
• Experience in Spark - In-depth knowledge in Apache Spark and the broader Data Engineering ecosystem
• Direct experience with SQL (e.g., Redshift/Postgres/MySQL), data modeling, data warehousing, and building ELT/ETL pipelines - MUST
• Python/ NodeJS experience.
• Experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
• Experience working with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, spark-streaming, Hive, DBT)
• Exceptional troubleshooting and problem-solving abilities, debugging, and root-causing defects in large-scale systems.
• Deep understanding of distributed data processing architecture and tools such as Kafka, Spark and Airflow
• Experience with design patterns and coding best practices, understanding of data modeling concepts, techniques, and best practices
• Proficiency with modern source control systems, especially Git
• Basic Linux/Unix system administration skills
  
  

Nice to have

• BS or MS degree in Computer Science or a related technical field - An advantage
• NoSQL, Large scale DBs.
• Understanding fintech business processes
• DevOps - AWS.
• Microservices