Snowflake Data Engineer: Cloud ETL & Analytics

Cognizant; Denver (CO); On-site; USD 116,000 - 136,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays plus Paid Time Off

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a skilled Data Engineer to support Life Sciences data initiatives. You will design and maintain scalable data pipelines using Snowflake, AWS, DBT, Python, and PySpark to enable data integration and analytics across complex environments.

Ideal candidates will implement ETL/ELT processes, optimize data models, and ensure data quality and governance while collaborating with analysts and application teams. This role focuses on cloud-based data workflows and modernization efforts.

Qualifications

• Hands-on experience with Snowflake Data Warehouse.
• Strong AWS cloud services knowledge and data architecture.
• Experience with DBT for data transformation and modeling.
• Proficiency in Python and PySpark for data processing.
• Solid understanding of ETL/ELT and data integration.
• Familiarity with CI/CD and version control (Git).
• Unix/Linux scripting and environment management.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, AWS, Python, and PySpark.
• Build and optimize ETL/ELT processes across multiple source systems.
• Develop data transformation models with DBT and enforce data quality standards.
• Leverage AWS services (S3, Glue, Lambda, EMR, Redshift) for data workflows.
• Design Snowflake schemas, tune performance, and optimize warehousing.
• Monitor data workflows for reliability and timely delivery.
• Collaborate with stakeholders to translate data requirements into solutions.
• Support data migration and modernization in Life Sciences environments.

Skills

ETL/ELT frameworks

Data integration

Pipeline orchestration

SQL optimization

Data modeling

Git

CI/CD practices

Tools

Snowflake

AWS

DBT

Python

PySpark

Unix/Linux

Git

CI/CD

Job description

Cognizant is seeking a skilled Data Engineer to support Life Sciences data initiatives. You will design and maintain scalable data pipelines using Snowflake, AWS, DBT, Python, and PySpark to enable data integration and analytics across complex environments.

Ideal candidates will implement ETL/ELT processes, optimize data models, and ensure data quality and governance while collaborating with analysts and application teams. This role focuses on cloud-based data workflows and modernization efforts.