Senior Data Science Engineer

We're seeking a highly skilled Senior Data Engineer to join our Doc Cloud Product & Business Analytics organization. The role involves building and operating large-scale analytical data pipelines and analytics-ready data tables using Azure Databricks.

Requirements

• Design, build, and maintain large-scale, production-grade data pipelines on Azure Databricks using Apache Spark and Python
• Write and optimize complex, high-performance SQL for data transformation, aggregation, and analytics workloads at scale
• Develop and maintain analytics-ready data models (fact tables, dimensions, rollups, metric layers, and gold layer tables) used for dashboards and reporting
• Optimize Databricks workloads for performance, reliability, and cost efficiency, including tuning Spark jobs and Delta Lake tables
• Establish and apply Delta Lake best practices, including incremental and idempotent processing, MERGE patterns, partitioning, and table optimization
• Partner closely with product analysts, business analysts, data scientists, and product managers to enable reliable, self-serve analytics, supporting product-led growth use cases
• Implement data quality checks, validation frameworks, and monitoring to ensure accurate and trusted analytics metrics
• Apply strong Data engineering best practices, including version control and documentation
• Contribute to solutions that integrate structured and unstructured data, including selective use of GenAI / LLM-based capabilities where relevant

Benefits

• Comprehensive benefits programs