[Hiring] Lead Data Engineer @AmeriLife

Role Description

The Lead Data Engineer will play a key role in engineering the enterprise data platform on Databricks, building scalable pipelines and transformation frameworks that support enterprise analytics and AI initiatives.

Key Responsibilities

• Design and build scalable Databricks data pipelines
• Develop ETL/ELT pipelines using PySpark
• Implement data ingestion and transformation frameworks
• Optimize Spark workloads for performance and scalability
• Establish engineering standards and mentor engineers
• Collaborate with architecture and analytics teams to enable data products

Core Technical Skills

• Strong expertise in Python and SQL
• Deep experience with Databricks, PySpark, and Spark
• Experience building large-scale data pipelines
• Strong understanding of data transformation and distributed processing

Additional Expectations

• Strong communication and collaboration skills
• Ability to mentor engineers and influence engineering best practices
• Passion for building scalable data platforms

Bonus Qualifications

• Databricks certification
• AWS or Azure certification

Compensation

• Salary Range: $150,000 to $175,000
• This role may be eligible for a discretionary annual bonus.
• Salary offers will vary commensurate with experience, education, skills, and training.

Benefits

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