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Manager, Customer Success Management - Public Sector
Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build…



Platform Analytics Engineer
What we're looking for Are you curious about how things work and motivated by uncovering insights hidden in data? As a Platform Analytics Engineer at ARQ , you’ll help us understand our business, customers, and…
Senior Data Engineering & Pre-Sales Consultant
Senior data engineering and pre-sales consultant at Nimbus Intelligence (The Information Lab Italy): leads pre-sales and senior technical consulting, defines data architectures and project estimates for international clients, and mentors junior data engineers. Core stack is Databricks, Snowflake and dbt, in a hybrid role based in Lombardia.
Data Engineer – Categorie Protette L. 68/99
Data Engineer role reserved for candidates in protected categories under Italian L. 68/99, placed by Adecco with an IT consulting client in Bologna, Rome, Cagliari, and Turin. The work centers on Power BI dashboards and semantic models, cloud ETL (Azure/AWS/GCP), Fabric/Databricks, and DWH design.
Data Engineer - QuantumBlack, AI by McKinsey
Builds foundational data infrastructure for AI applications at scale: designing scalable data pipelines, secure data environments, and AI-ready datasets. Works with Python, SQL, data platforms (Databricks, Snowflake, BigQuery) and cloud (AWS/Azure/GCP) within McKinsey's QuantumBlack AI practice.
Manager, GTM Engineering (Professional Services)
ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With…
AI and Data Product Manager
Lead AI-driven transformation of mortgage and market data workflows, defining product strategy and roadmaps for AI-powered applications and data products that deliver verifiable insights to clients.
Senior Manager, Sales Analytics
Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since…
Product Manager, Data
Product Manager, Data at apparel brand SKIMS (Los Angeles HQ): owns the data product roadmap and backlog, translating business needs into reusable data assets, governed metrics, and self-service analytics alongside Data Engineering, Analytics, and Data Science. Requires 4+ years of product management experience, SQL skills, and data warehouse/BI fluency.
Staff Machine Learning Engineer
Staff ML Engineer on Babylist's Discovery team, owning recommendations and personalization end to end — homepage feed, product recs, search, and the AI registry assistant — from fuzzy problem to production model with measurable business impact. Core stack: Python ML tooling (deep learning, retrieval/ranking, SageMaker, MLflow) on a simple Rails/MySQL/AWS setup.
Cloud Data Engineer Databricks Python
Cloud Data Engineer in Toronto designing, building, and maintaining scalable data pipelines with Python, SQL, and Databricks on Azure. Day-to-day involves Spark/PySpark ETL development, Delta Lake, job optimization and monitoring, dimensional data modeling, and data security/governance practices.
Cloud Data Engineer — AI-Ready Pipelines & Impact
Semios, an agriculture technology company, seeks a data engineer in Vancouver to design, build, and maintain scalable cloud data pipelines that turn raw data into trusted, analysis-ready datasets. The role involves optimizing pipelines and integrating diverse data sources with Engineering and Data Science teams using SQL, cloud warehouses (BigQuery, Redshift, Snowflake), and Postgres.
Chief Data Engineering Developer Montreal
Lead data engineering role at National Bank of Canada in Montreal, supporting the Analytics and Data team and evolving the Horizon platform — designing and optimizing data solutions, pipelines, and workflows while providing technical leadership using SQL, Python, and Snowflake in a hybrid work setup.
Data Engineering Technical Lead
Hands-on technical lead for data engineering and analytics at Sanimax in Montréal: designs, builds, and ships production data pipelines and enterprise analytics using SQL, Python, Snowflake, and Power BI, while mentoring engineers and driving data quality, governance, and DataOps.
Senior Data Engineer - Snowflake, Azure & DBT
Senior Data Engineer at PureFacts Financial Solutions in Toronto who builds, maintains, and optimizes data pipelines and infrastructure using Snowflake, Azure, and DBT, collaborating with data scientists and analysts on data governance, security, and performance optimization, with GenAI-assisted development tools.
Chief Data Engineering Developer
National Bank of Canada (BNC) is hiring a Chief Data Engineering Developer in Montreal to act as a data engineering expert on the Analytics and Data team, building and optimizing data pipelines and analytical solutions on the Horizon platform. The core stack includes SQL, Python, Snowflake, and CI/CD/DevOps practices; French is required, with hybrid work.
Lead Snowflake Data Engineer
Next Pathway - The Automated Cloud Migration Company Location: Downtown Toronto, ON (Onsite, Tuesday-Thursday) Company: Next Pathway Next Pathway is seeking an experienced Snowflake Data Engineer with experience…
Data Engineer
Data Engineer at agricultural-technology company Semios designs, builds, and maintains cloud-based data pipelines and warehouses that turn raw field-sensor and partner data into trusted, AI-ready datasets for engineering, analytics, and data science teams. Core stack: SQL, dbt, BigQuery/GCP and AWS, Prefect/Dagster, Python or Node.
Data Engineer
Cloud data engineer role in Toronto: design, build, and optimize scalable data pipelines and enterprise data warehouses in a Databricks/Azure environment. Day to day involves Spark/PySpark processing of large datasets, Python and SQL development, Delta Lake, streaming ingestion, job monitoring/tuning, and data governance.