Senior Data Engineer & ML Pipeline Architect
Allied Technical Services Inc
Toronto
On-site
CAD 100,000 - 170,000
Full time
Job summary
A technology-driven engineering firm in Toronto is seeking a full-time Data Engineer with at least 3 years of experience in data engineering or machine learning. The successful candidate will design and implement scalable data pipelines, modernize ETL processes, and collaborate with cross-functional teams to deliver insights. A strong background in Python, SQL, and AWS is essential, along with knowledge of machine learning workflows. Competitive salary and an excellent benefits package provided.
Benefits
Competitive salary
Dental care
Life insurance
Paid time off
RRSP matching
Gym access
Free parking
Qualifications
- At least 3 years of experience in data engineering, machine learning engineering, or data science.
- Experience in building and maintaining data pipelines using Airflow or dbt.
- Demonstrated knowledge of cloud data ecosystems, preferably AWS.
Responsibilities
- Design and implement automated, scalable data pipelines for data integration.
- Modernize existing ETL processes using Python and cloud technologies.
- Collaborate with Data Analysts and Product teams to provide high-quality insights.
Skills
Python
SQL
Problem-solving
Communication skills
Education
Bachelor's or Master's degree in Computer Science, Data Engineering, or Machine Learning
Tools
Airflow
AWS
Docker
Kubernetes
Power BI
Tableau
Pandas
PySpark
TensorFlow
PyTorch
A technology-driven engineering firm in Toronto is seeking a full-time Data Engineer with at least 3 years of experience in data engineering or machine learning. The successful candidate will design and implement scalable data pipelines, modernize ETL processes, and collaborate with cross-functional teams to deliver insights. A strong background in Python, SQL, and AWS is essential, along with knowledge of machine learning workflows. Competitive salary and an excellent benefits package provided.