Senior Data Engineer
Summary
The Senior Data Engineer will design and build scalable cloud-native data pipelines on AWS for a BFSI client. The role requires extensive experience with AWS data services, ETL frameworks, and infrastructure-as-code tools in a hybrid work environment.
Job Title: AWS Data Engineer (10+ years exp.)
Location: Toronto, ON
Work Arrangement: Hybrid (2 days a week in office)
Employment Type: Contract
Duration: 06-12 Months
Pay Rate: CAD 70-80/hour Incorporated
Domain: BFSI
Application Deadline: Aug. 30th, 2026
SKILLS REQUIRED:
10+ years of experience in Data Engineering or Software Engineering.
Lead the design, development, and enhancement of cloud-native data engineering frameworks on AWS.
Architect, build, and optimize end-to-end batch and streaming data pipelines for scalability, reliability, and performance.
4-5 years of dedicated hands-on experience with AWS.
Proven experience designing and implementing large-scale, production-grade data platforms.
Expertise with AWS data services, including: Amazon S3, AWS Glue, Redshift, EMR, Step functions, Kinesis, MSK etc.
Strong programming skills in Python, Scala, or Java.
Deep experience with ETL/ELT frameworks and data pipeline orchestration tools, including Airflow and AWS-native orchestration services.
Strong understanding of data modeling, distributed systems, and performance tuning.
Experience with CI/CD practices and Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation.
Experience working within Agile frameworks.
AWS certifications such as:
- AWS Certified Data Analytics – Specialty
- AWS Certified Solutions Architect
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.