AWS Data Engineer Lead

Cognizant; Remote; CAD 150,000 - 185,000; Full time

Job summary

A leading technology company in Canada is seeking a Lead AWS Data Engineer to design and implement scalable ETL pipelines and develop serverless applications leveraging AWS services. This role requires strong proficiency in AWS Glue, Lambda, and data modeling. The ideal candidate will have expertise in Python and PySpark, with a focus on delivering high-quality data solutions in a remote environment. Competitive salary between $110K-$135K based on experience, along with comprehensive benefits.

Benefits

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

Qualifications

• Strong proficiency in AWS services: Glue, Lambda, S3, Redshift.
• Infrastructure as Code: AWS CDK with TypeScript.
• Programming expertise in Python and PySpark.

Responsibilities

• Design and implement scalable ETL pipelines using AWS Glue and PySpark.
• Develop serverless applications leveraging AWS Lambda.
• Manage and optimize data storage solutions on Amazon S3.
• Build and maintain data warehouses using Amazon Redshift.

Skills

AWS Glue

AWS Lambda

Data Modeling

Python

PySpark

TypeScript

CI/CD

DevOps Practices

Job description

Job Title - Lead AWS Data Engineer

***Unfortunately no Visa transfer available for this role**

Remote

Responsibilities

• Design and implement scalable ETL pipelines using AWS Glue and PySpark.
• Develop serverless applications leveraging AWS Lambda.
• Manage and optimize data storage solutions on Amazon S3.
• Build and maintain data warehouses using Amazon Redshift.
• Implement infrastructure as code using AWS CDK with TypeScript.
• Collaborate with data scientists and analysts to deliver high-quality datasets.
• Ensure data security, compliance, and best practices in cloud environments.
• Optimize performance and cost efficiency across AWS services.
• Explore and integrate LLM-based solutions for advanced data processing and analytics.

Required Skills & Qualifications

• Strong proficiency in AWS services: Glue, Lambda, S3, Redshift.
• Infrastructure as Code: AWS CDK with TypeScript.
• Programming expertise: Python and PySpark.
• Hands-on experience in building and deploying data pipelines.
• Solid understanding of data modeling, warehousing, and performance tuning.
• Familiarity with CI/CD processes and DevOps practices.
• Excellent problem-solving and communication skills.

Preferred / Added Advantage

• Experience with Large Language Models (LLMs) and their integration into data workflows.
• Knowledge of modern data architectures and AI-driven analytics.

Salary and Other Compensation

Applications will be accepted until March 3rd 2026

The annual salary for this position is between $110K- 135Kdepending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• 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

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.