About The Role

Join our team as a Data Engineer II, where you will design, build, and scale robust data platforms that power analytics and product use cases. You will be responsible for developing data pipelines, optimizing infrastructure, and ensuring high standards of data quality, governance, and performance. This role offers flexible work arrangements, meaningful recognition, and ownership through a stock option plan.

Design, build, and maintain scalable data pipelines for ingesting, transforming, and loading data across batch and real-time systems.
Integrate data from diverse sources while ensuring reliability, scalability, and efficiency, and implement optimized data models for analytics.
Manage and optimize data platforms and infrastructure including Spark, Snowflake, Kafka, Airflow, and Kubernetes, ensuring high availability and performance.
The ideal candidate brings deep hands-on experience with modern data technologies and thrives in a fast-paced, product-driven environment
Strong programming skills in Python, Scala, or Java
Proven experience building both batch and real-time data pipelines
Hands-on experience with:
Snowflake or similar cloud data warehouses
Advanced proficiency in SQL and data modeling concepts
5–8 years of experience in data engineering or a related field
Apache Spark (distributed data processing)
Kafka or other streaming platforms
Airflow or similar orchestration tools
Kubernetes (container orchestration)

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