Senior Data Engineer
Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.
Build and scale distributed data infrastructure handling millions of events daily for billing, analytics, and BI tools. Requires 5+ years experience with stream processing (Kafka, Kinesis), real-time analytics (ClickHouse), IaC (Terraform), and programming (Golang/Python).
US base salary range: $160,000 - $240,000 + equity + benefits. Individual compensation determined by experience, skills, and job-related knowledge.
Designs and owns data architecture, builds/optimizes pipelines and models using Python, SQL, Snowflake, dbt, and AWS. Manages SLAs, data governance, and mentors team; requires 5+ years experience and bachelor's in CS or related.
Builds backend services and REST APIs serving data from Snowflake and other sources to internal teams, while supporting data pipelines with Airflow, Airbyte, and dbt. Requires strong Python, SQL, API design experience; preferred fintech background.
Designs and builds scalable batch/streaming data pipelines for identity verification products, owning end-to-end data initiatives using cloud-native tech. Requires 5+ years data engineering with Spark, AWS, Python/SQL; streaming/orchestration experience preferred.
Senior Backend Engineer building and operating distributed data infrastructure for streaming, batch processing, analytical stores, and warehouse exports at scale. Requires 6+ years backend experience with data pipelines, distributed systems, and production ownership (on-call).
Develops and maintains big data applications using Java and distributed systems like Apache Hudi, Spark, and Trino. Collaborates on requirements, ensures scalable code with TDD, and works with storage systems like S3 and ADLS.