Senior Data Engineer

Tabby is looking for a Senior Data Engineer to join its Data Services team and build internal data products, including a feature store, while also handling operational work. The role involves creating data pipelines across loading, extracting, transforming, and loading stages, as well as bringing in new tools for processing and storage. The advert names Python and SQL, system design, event-driven systems, streaming pipelines, REST and gRPC APIs, message brokers and queues, and familiar tools such as Airflow, Debezium, BigQuery or ClickHouse, PostgreSQL or CockroachDB, Docker, GitLab CI/CD, and GCP. It also notes experience with high-scale data processing and storage systems. The company asks for 3 to 5 years of experience as a Data Engineer, ML Engineer, or Backend Engineer. It does not mention any language requirement beyond the technical skills listed. The job is fully remote and offered on a full-time B2B contract. It appears suited to someone with strong data engineering experience who can work on scalable infrastructure and support ongoing data operations.