Data Engineer jobs in Canada
Data Engineer: Scale Pipelines with Airflow, Python & SQL
Ace1Media
Senior Software Engineer, Data Ecosystem & AI
Menlo Ventures
Senior Applications Consultant - Snowflake Data Engineer: Snowflake Developer with Pyspark/Airflow
Capgemini
Data Engineer, Pretraining Data — Remote-Friendly
Cohere
Discover more opportunities than anywhere else. Find more jobs nowData Engineer: Snowflake DW & ELT Visionary
Tiger Analytics
Connect with headhunters to apply for similar jobsRemote Data Engineer: Pipelines, Cloud & Big Data
Two95 International Inc.
Senior Data Engineer - Scalable Pipelines & AI-Ready Data
North American Search Group
AI Automation Engineer: Data Products Architect
Software International
Senior Data Engineer: Spark, Python/Scala & Snowflake
Capgemini
Senior Backend Data Engineer - Nutrition AI & Pipelines
Cronometer Software Inc
Staff Data Engineer — Remote Data Pipeline Leader
NerdWallet
Senior Data Engineer — Corporate Analytics (Hybrid, AWS)
Lyft
Senior Data Engineer — Hybrid Role: Scale Data Pipelines
Lyft
Data Engineer: Lakehouse Pipelines & BI Analytics
Telesat
GCP Senior Data Engineer – Real-time Pipelines & AI/ML
Scotiabank
Senior Data Engineer / Data Scientist (remote)
North American Search Group
Naval Project Engineer | Data & Parts Lead (In-Office)
J.D. Irving
Senior Data Engineer - Hybrid Toronto | Cloud & Data Pipelines
CG Consulting Group
Data Engineer: Scale Pipelines with Airflow, Python & SQL
Job summary
A dynamic media company in Vancouver is seeking a motivated Data Engineer to build and maintain data pipelines and develop ETL processes. The ideal candidate will possess a strong foundation in data engineering concepts, with proficiency in Python and SQL. This role involves ensuring data quality, managing workflows with Apache Airflow, and collaborating with a dynamic team. Attractive benefits and growth opportunities are provided.
Benefits
Qualifications
- Bachelor's degree or equivalent work experience required.
- Familiarity with ETL processes and data modeling concepts.
- Basic experience with programming languages such as Python and SQL.
- Strong understanding of relational databases.
Responsibilities
- Design, build, and maintain scalable data pipelines.
- Implement and manage data workflows using Apache Airflow.
- Develop reusable code in Python and SQL for data processing.
- Ensure data quality, integrity, and consistency.
- Manage version control processes using Git.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.