Senior Data Engineer

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 25,000 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 a Most Loved Workplace®, Best Point of Sale Company, and 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 accessible 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.

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About the Role

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.

As part of our Data Engineering team, you will not only build scalable data platforms but also directly enable portfolio growth by supporting new funding capabilities, loan sales and securitization, and improving cost efficiency through automated and trusted data flows that evolve our accounting processes.

Responsibilities

• Design and build data solutions that support Sunbit’s core business goals, from enabling capital market transactions (loan sales and securitization) to providing reliable insights for reducing the cost of capital.
• Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives.
• Create ELT processes and SQL queries to bring data to the data warehouse and other data sources.
• Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations.
• Own and evolve data lake pipelines, maintenance, schema management, and improvements.
• Create new features from scratch, enhance existing features, and optimize existing functionality.
• Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes.
• Implement new tools and modern development approaches that improve both scalability and business agility.
• Ensure adherence to coding best practices and development of reusable code.
• Constantly monitor the data platform and make recommendations to enhance architecture, performance, and cost efficiency.

Requirements

• 4+ years of experience as a Data Engineer.
• 4+ years of Python and SQL experience.
• 4+ years of direct experience with SQL (Redshift/Snowflake), data modeling, data warehousing, and building ELT/ETL pipelines (DBT & Airflow preferred).
• 3+ years of experience in scalable data architecture, fault-tolerant ETL, and data quality monitoring in the cloud.
• Hands-on experience with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark Streaming, Kafka, DBT).
• Strong troubleshooting and debugging skills in large-scale systems.
• Deep understanding of distributed data processing and tools such as Kafka, Spark, and Airflow.
• Experience with design patterns, coding best practices, and data modeling.
• Proficiency with Git and modern source control.
• Basic Linux/Unix system administration skills.
• Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued.

Nice to Have

• Familiarity with fintech business processes (funding, securitization, loan servicing, accounting).- Huge advantage
• BS/MS in Computer Science or related field.
• Experience with NoSQL or large-scale DBs.
• DevOps experience in AWS.
• Microservices experience.
• 2+ years of experience in Spark and the broader Data Engineering ecosystem.

Recruitment Fraud Disclaimer

We’ve been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at [email protected] to confirm. We ask that you contact [email protected] only about potential instances of fraud. [email protected] does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to [email protected] directly, and your email about your application will be deleted from our systems.