Senior Data Engineer

We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines that power analytics and machine learning across the organization. You will work closely with data scientists, analysts, and product teams to ensure reliable and well-structured data systems. The ideal candidate has strong experience with cloud infrastructure, ETL pipelines, and modern data warehouse technologies. Responsibilities Design and maintain scalable data pipelines and ETL workflows Build and optimize data warehouse schemas Work with engineering teams to integrate product data into analytics systems Implement data quality monitoring and validation Optimize performance of large-scale datasets Collaborate with data scientists to prepare datasets for modeling Maintain documentation of data infrastructure Requirements 5+ years of experience in data engineering or backend engineering Strong experience with Python or Scala Experience building ETL pipelines Experience with SQL and data warehousing Experience with AWS, GCP, or Azure Familiarity with Airflow, dbt, or similar orchestration tools Experience with distributed data systems (Spark, Kafka, etc.) Preferred Qualifications Experience with machine learning pipelines Experience with Snowflake, BigQuery, or Redshift Knowledge of data governance or security best practices Thanks!