Lead Data Engineer

Become a part of our caring community and contribute to an organization focused on continuously improving consumer experiences as a Lead Data Engineer in RASA (Risk Adjustment and Stars Analytics).

Requirements

• 7+ years of experience in data engineering, with a focus on building scalable data pipelines and architectures.
• Strong aptitude and motivation to grow into enterprise cloud platforms and technology as part of analytic modernization and enterprise alignment.
• Experience working in Databricks.
• Ability to analyze data to solve a wide variety of business problems, design and develop appropriate data movement and orchestration tools, and code to support strategic direction.
• Extensive understanding of star schema, snowflake schema, data architecture, and design principles.
• Strong SQL database design, optimization, ETL design, and execution (or similar orchestration).
• Ability to develop modular, reusable code and tools.
• Expertise in T-SQL, Python, PySpark, and pySQL languages.
• Ability to thoroughly test and clearly document code.
• Review the work of and advocate best practices to other engineers by influencing through demonstration, empathy, and data-driven persuasion.

Benefits

• Medical, dental and vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• Short-term and long-term disability
• Life insurance