高级数据工程师 - PySpark

The Senior Data Engineer will design and develop scalable data pipelines that support analytics, reporting, and AI initiatives across the enterprise data platform. Key Responsibilities: Build and maintain PySpark pipelines in Databricks, Develop scalable data ingestion and transformation workflows, Implement data validation and quality checks, Optimize Spark workloads and processing performance, Work closely with architecture and analytics teams. Core Technical Skills: Strong expertise in Python and SQL, Experience with PySpark, Spark, and Databricks, Experience building ETL/ELT pipelines, Strong understanding of data transformation and performance optimization. Additional Expectations: Strong communication and teamwork skills, Ability to collaborate across engineering and analytics teams, Passion for building scalable data systems. Bonus Qualifications: Databricks certification, AWS or Azure certification. Compensation: Salary Range: $125,000 to $145,000, This role may be eligible for a discretionary annual bonus. Salary offers will vary commensurate with experience, education, skills, and training. What AmeriLife Offers: A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

Strong expertise in Python and SQL, Experience with PySpark, Spark, and Databricks, Experience building ETL/ELT pipelines, Strong understanding of data transformation and performance optimization, Strong communication and teamwork skills, Ability to collaborate across engineering and analytics teams, Passion for building scalable data systems, Databricks certification, AWS or Azure certification.

A comprehensive benefits package that includes PTO, medical, dental, vision, retirement savings, disability insurance, and life insurance.

AmeriLife has been a leader in the development, marketing and distribution of annuity, life and health insurance solutions for those planning for and living in retirement for over 50 years.