As of November 6, 2026, Jobsy lists 8 data engineer jobs in Calgary, AB. The most active employers are Capgemini, Pathlion and Randstad Canada. Skills often requested: data engineering, sql, python and aws.
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BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.
5+ YOECandidates need at least 5 years of data engineering experience, including 3 years with Databricks, Apache Spark and cloud platforms. Strong Python or Scala skills, Azure expertise and CI/CD experience are required, along with excellent communication skills.
Databricks, Apache Spark, Delta Lake, Azure Data Lake, Azure Synapse, Azure DevOps
Candidates need strong, expert-level PySpark and hands-on experience with Databricks, Azure Data Factory or Airflow, and SQL. They also need experience with denormalized data modeling for big data systems.
Databricks, Jupyter Notebooks, Azure Data Factory, Delta Lake
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Candidates need to be enrolled in a post-secondary program and graduating between August 2027 and June 2028. They need programming, database and data-cleaning skills, strong communication and teamwork, and experience with machine learning, NLP, APIs or databases.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Candidates need current enrollment in a post-secondary program graduating between August 2027 and June 2028. They need programming, database and data transformation experience, plus machine learning, NLP, or API development experience.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Candidates need current enrollment in a post-secondary program graduating between August 2027 and June 2028. They need programming, database and data-engineering experience, plus machine learning, NLP, or API experience, and strong communication and teamwork skills.
Research, Collaboration, Teamwork, Critical thinking, Communication skills, Leadership
Candidates need a technical degree or equivalent practical experience, plus proven experience running production data platforms. Expert SQL, strong Python, and hands-on experience with Databricks or Snowflake, Spark and cloud platforms (Azure preferred) are required.
4+ YOECandidates need 4+ years running production data platforms, strong Python, deep AWS experience with S3 and Athena, and workflow orchestration experience. They also need advanced SQL, open table format knowledge (Iceberg, Delta or Hudi) and solid machine learning and computer vision fundamentals.
AWS S3, Parquet, Delta Lake, Airflow, Dagster, Prefect
5+ YOECandidates need 5+ years of data engineering experience, a STEM degree, and strong SQL and Python skills. Experience with cloud platforms, ETL orchestration (Databricks, Airflow), dimensional modeling and Git in Agile teams is also required, along with good business communication skills.
Google BigQuery, GCP Dataflow, Pub/Sub, Cloud Composer, Databricks, Airflow