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We are seeking a Data Science Consultant to support our Army Client. This is a hybrid position and the candidate will be required to work from the client location in Crystal City, Arlington VA at least 2 days a week.…
Staff and Lead Data Engineers for a bootstrapped Canadian ad-exchange company (~600 staff) processing hundreds of billions of daily auctions. Day to day: building petabyte-scale batch and streaming pipelines and low-latency analytical APIs using Spark, Kafka, Flink, Go/Java, and Kubernetes, with Lead roles also managing a distributed team.
Senior Data Engineer building and operating the pipelines behind daily reporting, attribution, and LTV: ingesting marketing, payments, and product data into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Core stack: Python, SQL, Spark, Databricks, Airflow, GCP.
Location: Hybrid Division: Engineering Reports to: Chief Architect - Data and Insights ABOUT US Agilisys is at the forefront of digital transformation and innovation in the public services sector. With over two decades…
Zorg dat de techniek achter de Betuweroute altijd draait. Word SCADA data engineer en maak impact op het spoor. Werk om trots op te zijn Bij ProRail zoeken we een enthousiaste SCADA data engineer die zich vastbijt in…
A lead data engineering role building a manufacturing data platform from scratch: a real-time Unified Namespace (UNS), a canonical Manufacturing Information Model (MIM), and standards for metrics like OEE. Day to day involves architecting time-series/event-stream pipelines (PostgreSQL, TimescaleDB, Kafka), defining event contracts, and technically leading the team while defending decisions to stak
Build and maintain large-scale data pipelines using a medallion architecture with Python, SQL, Dagster, dbt, and Databricks for an OSINT and AI platform serving government clients.
Advises clients on data strategy, pipelines, and governance for AI/LLM projects, reviewing architecture and recommending solutions using Python, SQL, and cloud platforms.
Senior Data Engineer Job Description We are looking for a Senior Data Engineer to join our technology organization. As a Senior Data Engineer, you will lead strategies for modernizing and remediating legacy data…
Staff Data Engineer at Katalyze AI who owns data architecture standards and builds customer data integrations, scalable streaming infrastructure, and ETL/ELT pipelines supporting the company's biotech/pharma AI operations. Core tech includes Python, SQL, cloud data platforms, Flink, and Kinesis.
RBC is hiring a Senior Data Engineering Architect in Toronto to lead end-to-end engineering of enterprise data applications, architect the Semantic Layer, and set standards for APIs, data contracts, and pipeline testing. Core work involves Python/Java/Go, CI/CD, cloud services, and Agentic AI system deployment with a focus on security, observability, and data governance.
Leads finance data engineering at Scotiabank in Toronto: building enterprise-grade data solutions, driver-based forecasting, semantic layers, and automated financial reporting pipelines. Core focus on data modeling, cloud environments, and regulatory compliance for finance analytics.
A hybrid, full-time Solutions Architect role in Toronto focused on data engineering with Snowflake. The person delivers end-to-end data solutions — migrations, integrations (Snowpipe, Streams), governance, and AI/ML support via Snowpark — on cloud platforms such as AWS, Azure, or GCP.
Senior Data Engineer on Lyft's Mapping team (hybrid in Toronto), owning data pipeline architecture that powers routing and travel estimations. Day-to-day involves technical design leadership, evolving data models, building AI tools for ETL/schema optimization, and code reviews using Kafka, Kubernetes, SQL, and cloud infrastructure.
Data engineer at Loblaw Digital in Toronto designing scalable data pipelines and architectures on GCP, adding monitoring/validation for reliability, contributing to backend/API design for reporting, and collaborating with AI teams. Core stack includes PySpark, SQL, Python or Java, cloud data services, and orchestration tools.
Senior data engineer/architect (hybrid, Oshawa) leading the design of scalable, modular data pipelines and data architecture standards, running proofs-of-concept for new technologies, and partnering with cyber teams on data security. Core stack is the Azure Data Stack plus big data and low-latency, event-driven processing.
As a Generative AI Data Engineer at Riverside Natural Foods (maker of MadeGood snacks), you build foundational data architectures, ELT/ETL pipelines, and ML/AI-ready datasets while ensuring data quality and observability. Core stack: SQL, Python, SAP integration, and cloud/hybrid platforms.
RAZR is hiring an on-site Senior Data Platform Engineer in Vancouver to guide data infrastructure architecture, design and maintain pipelines, own the Snowflake warehouse, and mentor engineers. Core stack includes Kafka, Flink, Snowflake, SQL, and Pulumi infrastructure-as-code.
Lead Data Engineer at Hive.co building and scaling a cloud-native data platform that powers marketing for major North American events. Day to day: architect the data platform, take ML infrastructure from experimentation to production, deliver data products, and build agentic/LLM systems. Core stack: Python, Django, various data stores, distributed systems, MLOps.
Director-level engineering leadership role at Chainalysis: owning the technical architecture and delivery roadmap for business systems and data integrations, directly managing platform engineering, data engineering, and systems administration teams, and delivering AI-enabled, API-driven solutions.
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