Financeit: Provides point-of-sale consumer financing solutions for retail businesses.
2+ YOEUniversity degree in Engineering, Math, or Computer Science; 2+ years of Data Engineer or Data Analyst experience; SQL, Python, dbt, Apache Airflow, AWS, Redshift, and Glue experience.
Clio: Cloud-based legal practice management software and AI solutions.
Experience in software development and data engineering; AWS cloud infrastructure; Python, Scala, or Ruby and SQL; Spark, Kafka, Airflow; Databricks or similar data warehousing; and data pipeline development.
ODAIA: AI commercial intelligence software for life sciences companies.
3+ YOERequires 3+ years in data engineering, production data pipelines, AWS, Snowflake, Python, Dagster or Airflow, dbt, SQL, data modeling, CI/CD, and healthcare or CRM integration experience preferred.
LyftNASDAQ: LYFT: Provides an on-demand ride-hailing and multimodal transportation platform.
4+ YOEBachelor's degree in a relevant quantitative or technical field and 4+ years of data engineering experience. Requires Spark, Python, SQL tuning, AWS, Hadoop/S3, Hive, Presto, Airflow, ETL, and data warehousing.
MorningstarNASDAQ: MORN: Provides independent investment research, data, and analytics.
5+ YOE5+ years data engineering experience with Snowflake, Python, Informatica, advanced SQL, Git/Bitbucket, AWS, CI/CD knowledge, and experience building end-to-end data pipelines and data models.
Bridgenext: Global consultancy providing digital strategy and technical engineering services.
8+ YOEBachelor's degree,8+ years data engineering/modeling experience,Databricks on Azure/AWS,ERwin/PowerDesigner,CI/CD for data platforms,strong communication skills.
Azure Data Factory, Azure Databricks, PySpark, Azure Data Lake, Azure SQL, Microsoft Power BI, ERwin, PowerDesigner, Azure DevOps, GitHub, Jenkins, AWS
High Tech Genesis: A technology delivering data engineering and cloud solutions.
5+ YOE5+ years data engineering experience with hands-on Snowflake, Snowpark, Snowpipe, Streams & Tasks, SQL, Python, dbt; knowledge of Terraform, CI/CD, and AWS/Azure/GCP.
BMOTSX: BMO: Provides personal and commercial banking, investment, and wealth services.
2+ YOE2-5 years IT experience; ETL/ELT and data warehousing; SQL, NoSQL, Python, Spark/PySpark, Scala; cloud (AWS/Azure), SSIS, Glue, Hadoop, Netezza; data modeling and profiling; Agile experience.
Confluence: Software for investment management data and regulatory reporting.
Proven data engineering experience with Python, advanced SQL and Snowflake; building production ETL pipelines; exposure to AWS/Azure/GCP; ownership from design to deployment; mentoring experience preferred.
DentsuTokyo Stock Exchange: 4324: Providing global advertising, digital marketing, and media communications services.
3+ YOE3–5 years data engineering, SQL and Python, cloud data warehouse experience (BigQuery/Redshift/Snowflake), API integrations, advertising data, data modeling, and pipeline development.
Kumaran Systems: Global provider of digital transformation and legacy modernization solutions.
5+ YOE5+ years building Databricks/Spark ETL pipelines, SQL, cloud (Azure/AWS/GCP), Delta Lake, Unity Catalog, CDC/SCD, data modelling and performance tuning.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
3+ YOE3+ years data engineering experience; strong Python/PySpark and SQL skills; experience with AWS, Snowflake, dbt, and data orchestration; strong problem-solving and independent ownership.
Euna Solutions: Provides purpose-built cloud software for public sector organizations.
6+ YOE6+ years building production data pipelines; strong SQL and Python; experience with dbt and managed AWS data services; expertise in governed, reproducible data products, testing, lineage, and documentation.
Slalom: Provides business and technology consulting and software engineering services.
4+ YOE4+ years designing, building, and optimizing production data engineering solutions with modern cloud platforms, big data, streaming, orchestration, databases, containers, and Python/Java.
Amazon Web Services, Microsoft Azure, Google Cloud Platform, Amazon Redshift, Snowflake, GoogleBigQuery, Azure Synapse Analytics, Amazon EMR, Apache Spark, Presto, Databricks, Amazon Kinesis, Apache Kafka, Apache Airflow, dbt, Dagster, Azure Data Factory, DynamoDB, Cosmos DB, MongoDB, Kubernetes, Amazon ECS, Amazon SageMaker, Azure ML Studio, Python, Java
Prophix: Provides financial performance and corporate performance management software.
4+ YOE4+ years production data engineering experience; deep Snowflake and Snowpark expertise, strong Python and advanced SQL, experience with AWS data tooling, Git, Salesforce integrations, Tableau knowledge, and bachelor's degree or equivalent.
ScotiabankToronto Stock Exchange: BNS: Provides global personal, commercial, and investment banking services.
12+ YOE12+ years data engineering experience (8+ designing data platforms), technical leadership, cloud (GCP/AWS/Azure), data warehousing, pipeline design for analytics and ML, CI/CD/DevOps familiarity, security and vendor experience.
ShyftLabs: Builds custom AI and data platforms for enterprise digital transformation.
8+ YOE8+ years building enterprise data platforms with Databricks/Spark, Python and SQL; experience with cloud (AWS/Azure/GCP), Terraform, CI/CD, data governance, and client-facing leadership.
Databricks, Apache Spark, Python, SQL, Delta Lake, Delta Live Tables, Databricks SQL, MLflow, Unity Catalog, Kafka, Kinesis, Event Hubs, Snowflake, dbt, Airflow, Terraform, Kubernetes, Docker, AWS, Azure, Google Cloud Platform
Sun LifeToronto Stock Exchange: SLF: Provides insurance, retirement, and asset management services globally.
5+ YOE5+ years experience with relational databases and data engineering; hands-on with AWS, Python, PySpark, SQL, Snowflake; strong communication and data governance skills; Canadian reliability clearance required.
ZS: Global management consulting and technology firm for healthcare and life sciences.
5+ YOEBachelors in computer/data science, 5+ years data engineering experience, proficiency in SQL and Python, experience with cloud platforms and big data technologies, ETL and data modeling expertise, leadership and travel readiness.