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Rockstar
Candidates need proven experience turning ambiguous business problems into actionable insights, hands-on SQL and Python in a professional setting, and experience building data pipelines and warehouses. Strong communication skills and familiarity with visualization tools such as Looker, Power BI or Tableau are also required.
SQL, Python, Airflow, dbt, PostgreSQL, Redshift
act digital
4+ YOECandidates need 4+ years of data engineering experience (7+ for senior), with strong hands-on skills in AWS, Snowflake, DBT, Airflow and Informatica IICS. A degree in computer science or engineering and good English are required, French is an asset.
AWS, Snowflake, DBT, Airflow, Informatica IICS
ML arteka
Candidates need experience designing semantic layers over cloud analytical stores like Athena, BigQuery or Snowflake, and hands-on Power BI skills including DAX and Row Level Security. They also need AWS data stack knowledge, dimensional modeling, and a habit of writing tests for data pipelines and models.
Power BI, Athena, S3, Iceberg, Aurora PostgreSQL, AWS
ML arteka
ML arteka needs strong Python and production-grade data engineering skills, with experience building AWS ingestion pipelines (S3, Glue or similar). Candidates should know Apache Iceberg, orchestration tools and data quality practices in regulated environments.
Python, AWS S3, AWS Glue, Apache Iceberg, CloudWatch, MWAA
Fraser Health Authority
5+ YOECandidates need a bachelor's degree in health information science, computer science, software engineering or a related field, or an equivalent combination of education and experience. They also need five years of recent experience in business and systems analysis, including project management.
Data engineering, Data models, Data modelling, Computer science, Data management, Leadership
Confluence Technologies: Confluence is a global technology solutions provider helping the investment management industry solve complex investment data challenges.
Candidates need solid Python experience in data engineering, advanced SQL and hands-on Snowflake experience, and experience running production ETL pipelines at scale. They also need cloud exposure (AWS, Azure or GCP) and the ability to own work from design through deployment and monitoring.
Python, SQL, Snowflake, Airflow, AWS Step Functions, AWS
Confluence Technologies: Confluence is a global technology solutions provider helping the investment management industry solve complex investment data challenges.
Candidates need solid Python experience in data engineering, advanced SQL and hands-on Snowflake experience, and experience running production ETL pipelines at scale. They also need cloud exposure (AWS, Azure or GCP) and the ability to own work from design through deployment and monitoring.
Python, SQL, Snowflake, Airflow, AWS Step Functions, AWS
ZoomInfo Technologies LLC
4+ YOECandidates need 4+ years as a data engineer with production pipeline ownership, strong SQL and Python, and hands-on Snowflake and dbt experience. Airflow and Fivetran are required, plus Databricks, Spark, AWS and GCP exposure, and good communication skills.
Snowflake, dbt, Airflow, Fivetran, Databricks, Spark
Randstad Canada
5+ YOECandidates need a bachelor's degree in a related field and at least five years as a Data Engineer or Data Analyst. They also need five years of Python, PySpark and SQL experience, four years designing data warehouses or lakehouses, and experience with cloud data platforms such as Databricks or Microsoft Fabric.
Azure Data Factory, SSIS, Power BI, Databricks, Microsoft Fabric, Azure
Randstad Canada
7+ YOECandidates need 7+ years of data engineering experience, deep Google BigQuery and GCP expertise, and advanced Python and SQL skills. They also need experience with big data and orchestration tools such as PySpark, Airflow, Dataflow, or Pub/Sub, and a Bachelor's degree in a quantitative field.
Google BigQuery, Python, SQL, PySpark, Apache Airflow, GCP Dataflow
Randstad Canada
5+ YOECandidates need 5+ years of enterprise database or data engineering experience, hands-on work with SSIS or Azure Data Factory, and experience with Azure Synapse, SQL Server 2016 or later, and Azure DevOps. A university degree in Computer Science or equivalent experience is also required.
SSIS, Azure Data Factory, Azure Synapse, SQL Server, Azure SQL, Azure DevOps
TripleLift
5+ YOECandidates need at least 5 years of production software engineering experience focused on data and ML pipelines, strong SQL, and experience with Spark and Kafka at scale. A bachelor's degree in computer science or equivalent experience is also required.
Spark, Kafka, EMR, SQL, Python, Scala
Movable Ink
6+ YOECandidates need 6+ years in data or backend engineering with a focus on streaming systems. They need strong Elixir or Python, advanced SQL, production columnar database experience, and experience operating data systems on AWS.
Apache Flink, Kafka, Pulsar, Kinesis, Databricks, Terraform
Movable Ink
5+ YOECandidates need 5+ years of data engineering experience, deep expertise in Apache Spark and PySpark, and strong Python development skills. Experience with cloud platforms, data streaming, data storage formats, and CI/CD practices is also required.
Apache Spark, PySpark, GCP Dataproc, Kafka, Parquet, Delta Lake
Movable Ink
Movable Ink needs candidates strong in Elixir and/or Python, advanced SQL, and columnar analytical databases at production scale. They should have stream processing experience with Kafka, Flink, Pulsar or Kinesis, and AWS data system experience.
Apache Flink, Kafka, Pulsar, Kinesis, Databricks, Terraform
Movable Ink
3+ YOECandidates need 3+ years as a Data Engineer, hands-on work with petabyte-scale columnar databases, and experience running production data pipelines with monitoring and automation. Strong Python or SQL skills and familiarity with modern ELT and orchestration tools are expected.
dbt, Airbyte, Flink, Airflow, Dagster, Terraform
Novisto
6+ YOECandidates need 6+ years of data or backend engineering experience, 2+ in a senior or lead role, and a Bachelor's degree in Computer Science or equivalent. Expert SQL, strong Python, and experience with cloud platforms, lakehouses, dbt and orchestrators are required.
dbt, Airflow, Dagster, Prefect, Databricks, Snowflake
15 companies