Snowflake Architect: Data Pipelines & Cloud ETL

Cognizant; Helena (MT); 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. The role emphasizes building scalable data pipelines, ETL/ELT design, and cloud-native data workflows using Snowflake, AWS, DBT, Python, PySpark, and Unix.

The ideal candidate will design transforms, implement data quality, and collaborate across data analysts and applications teams to enable reliable data-driven decisions.

Qualifications

• Hands-on Snowflake data warehousing experience.
• Strong AWS cloud services experience.
• DBT data transformation and modeling expertise.
• Python and PySpark proficiency.
• Unix/Linux scripting and environment management.
• SQL optimization, data modeling, and schema design.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, AWS, Python, and PySpark.
• Build and optimize ETL/ELT processes from multiple source systems.
• Develop data transformation models using DBT.
• Work with AWS services such as S3, Glue, Lambda, EMR, Redshift.
• Design and support Snowflake data warehousing with schema design and tuning.
• Monitor and troubleshoot data workflows for reliability and timely delivery.
• Collaborate with stakeholders to understand data requirements.

Skills

Snowflake

AWS

DBT

Python

PySpark

Unix/Linux

SQL optimization

Data modeling

Tools

Git

CI/CD practices

Job description

Cognizant is seeking a skilled Data Engineer to support Life Sciences data initiatives. The role emphasizes building scalable data pipelines, ETL/ELT design, and cloud-native data workflows using Snowflake, AWS, DBT, Python, PySpark, and Unix.

The ideal candidate will design transforms, implement data quality, and collaborate across data analysts and applications teams to enable reliable data-driven decisions.