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Remote Data Engineer — Build Scalable Pipelines
Job summary
A tech-driven analytics firm is seeking a Data Engineer to enhance their data systems. This role involves building scalable data pipelines, collaborating with cross-functional teams, and ensuring data reliability. Ideal candidates possess 2–5 years of experience, proficient Python skills, and familiarity with data tools like Airflow and Spark. The position is initially remote, but candidates should reside in Calgary or be open to relocation. This is an opportunity to grow technically in a collaborative environment.
Qualifications
- 2–5 years of experience in data engineering or related role.
- Comfortable with SQL and relational databases.
- Exposure to modern data engineering tooling.
Responsibilities
- Build and improve scalable data pipelines and ETL/ELT workflows.
- Collaborate with teams to deliver high-quality data.
- Monitor data pipelines for reliability and performance.
Skills
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.