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Tabby is a fintech platform that enables flexible payment solutions, allowing shoppers to split purchases with no interest or fees. The company serves over 17 million users and partners with 40,000+ global brands including Amazon, Noon, IKEA, and SHEIN. Tabby processes over $10 billion in annual transaction volume and is valued at $4.5 billion.
We are seeking a Senior Data Engineer to join the Data Services Team. You will design and develop internal data infrastructure solutions, including a Feature Store and other data services that power analytics and machine learning across the organization.
Key responsibilities include:
- Developing and maintaining a Feature Store and future data services
- Building and optimizing EL/ELT/ETL pipelines for high-volume data processing
- Integrating new tools and technologies for data processing and storage
- Designing scalable, event-driven systems and streaming pipelines
- Collaborating with data scientists, analysts, and backend teams to support data needs
Required qualifications:
- 3-5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer
- Proven experience building high-load, scalable data processing and storage systems
- Strong knowledge of event-driven systems and streaming pipelines
- Proficiency in Python and SQL with best practices
- System design expertise
- Hands-on experience with Airflow, Debezium, BigQuery/Clickhouse, PostgreSQL/CockroachDB, Docker, GitLab CI/CD, and GCP
- Understanding of REST APIs, gRPC, message brokers, and queues
Bonus skills:
- Go development experience
- Experience with modern data storage systems (relational, MPP, NoSQL)
- Google Cloud Platform expertise
