Data Engineer 4

Pay Range : $95.61 - $99.13

Notes : This is a Hybrid role. 3 days a week in San Jose office.

Duties :

• Design, develop, and maintain scalable and reliable data pipelines to support large-scale data processing.
• Build and optimize data workflows using orchestration tools like Apache Airflow and Spark to support scheduled and event-driven ETL / ELT processes.
• Implement complex parsing, cleansing, and transformation logic to normalize data from a variety of structured and unstructured sources.
• Collaborate with data scientists, analysts, and application teams to integrate, test, and validate data products and pipelines.
• Operate and maintain pipelines running on cloud platforms (AWS) and distributed compute environments (e.g., Databricks).
• Monitor pipeline performance, perform root cause analysis, and troubleshoot failures to ensure high data quality and uptime.
• Ensure proper security, compliance, and governance of data across systems and environments.
• Contribute to the automation and standardization of data engineering processes to improve development velocity and operational efficiency.

Skills :

Education : 9-12 YOE