Senior Data Engineer

Job Summary

Owning and evolving data pipelines on GCP, the full-time Senior Data Engineer will design and build batch and streaming pipelines, ensuring clean and trustworthy data is available for analytics and ML products in a fully remote environment.

Key responsibilities

• Design and implement ELT/ETL processes on BigQuery and ClickHouse, and build real-time pipelines using Pub/Sub and Kafka
• Partner with ML engineers to develop feature pipelines and monitor data quality and model retraining workflows
• Continuously improve data quality, reliability, and cost efficiency while migrating from legacy systems to a GCP-native stack

Required qualifications

• Strong experience with GCP data services, particularly BigQuery, and familiarity with Pub/Sub, Dataflow, and Bigtable
• Production experience with streaming pipelines using Dataflow/Beam, Flink, or Spark
• Proficient in SQL and Python, with a track record of writing production-quality code
• Experience with workflow orchestration tools like Airflow and transformation frameworks such as dbt
• Knowledge of ML processes, including feature engineering and model deployment