Senior AWS Data Engineer - PySpark, Databricks & Snowflake

Cognizant; Teaneck Township (NJ); Híbrido; USD 100.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/Dental/Vision/Life Insurance

Paid holidays plus Paid Time Off

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Descripción de la vacante

Cognizant is seeking an AWS Data Engineer to design and deliver scalable data platforms using PySpark, Python, AWS, Databricks, and Snowflake. You will lead cloud-based data solutions for healthcare and payer initiatives, ensuring high data quality and compliant governance.

Hybrid work in the US with collaboration across product analytics and operations. Requires 9–12 years of data and cloud experience in enterprise contexts.

Formación

• Extensive experience designing data solutions using PySpark and Python.
• Strong AWS data services and orchestration experience.
• Databricks expertise for shared workspaces and cluster setups.
• Snowflake data modeling and performance optimization.

Responsabilidades

• Lead data engineering initiatives with PySpark and Python.
• Architect cloud-based data solutions on AWS and manage environments.
• Standardize notebooks, jobs, and cluster configurations in Databricks.
• Design Snowflake data models (facts/dimensions) for analytics.
• Migrate legacy processes to cloud and lakehouse architectures.
• Perform data quality checks and robust validation.
• Translate payer domain requirements into robust data transformations.
• Collaborate with product and analytics teams to deliver features.
• Optimize scheduling, resources, and performance across environments.
• Implement secure data access and governance on AWS and Snowflake.
• Document architectures and pipelines for cross-functional teams.
• Support incident analysis and root cause resolution.

Conocimientos

PySpark

Python

AWS

Databricks

Snowflake

Data pipelines

Data quality

Herramientas

AWS

Databricks

Snowflake

Descripción del empleo

Cognizant is seeking an AWS Data Engineer to design and deliver scalable data platforms using PySpark, Python, AWS, Databricks, and Snowflake. You will lead cloud-based data solutions for healthcare and payer initiatives, ensuring high data quality and compliant governance.

Hybrid work in the US with collaboration across product analytics and operations. Requires 9–12 years of data and cloud experience in enterprise contexts.