AWS Data Engineer
Lead the design and development of cloud-native data engineering frameworks on AWS. Architect and optimize end-to-end batch and streaming data pipelines for scalability and performance.
- Hybrid
- Toronto, ON
- Posted Aug 26, 2026
- Apply by Sep 25, 2026
- 1 position
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Job summary
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.
What you’ll do
Lead the design and development of cloud-native data engineering frameworks on AWS. Architect and optimize end-to-end batch and streaming data pipelines for scalability and performance.
Requirements
Requires over 10 years of experience in data or software engineering with 4-5 years of dedicated AWS hands-on experience. Expertise in ETL/ELT frameworks, data modeling, and CI/CD practices is essential.
Listed skills
- Amazon Web ServicesPreferred
- JavaPreferred
- TerraformPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS
- Data Engineering
- Python
- Scala
- Java
- Amazon S3
- AWS Glue
- Redshift
- EMR
- Step Functions
- Kinesis
- MSK
- Airflow
- Terraform
- AWS CDK
- CloudFormation
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Finance & Accounting
Additional details
- Minimum experience
- 10+ years
- Apply by
- Sep 25, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 2 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available