Data Engineer

Key Responsibilities:

• Design, build, and maintain scalable batch and streaming data pipelines using modern frameworks like Spark, Flink, Kafka, and Airflow.
• Architect robust data models and storage strategies optimized for analytical query performance in cloud data warehouses and data lakes.
• Ensure system quality, reliability, and compliance with security and regulatory standards.

Qualifications:

• Advanced proficiency in Python or Scala with strong SQL and database design skills.
• Deep hands-on experience with cloud infrastructure (AWS/GCP), orchestration platforms (Airflow/Prefect), and stream processing tools (Kafka, Spark Streaming, Flink).
• Strong engineering fundamentals including Git, CI/CD, testing, and ability to work autonomously in a remote-first environment.

Additional Information:

• $500 sign-up bonus available for eligible candidates.
• Cross-functional collaboration with Analytics, Data Science, Product, and Infrastructure teams.