Data Engineer Jobs in Winnipeg
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Search Results - Data Engineer Jobs in Winnipeg
Michael PageWinnipegappcast.io
Join a leading company in the industrial sector as a Data Engineer in Winnipeg, specializing in Azure data platforms and scalable solutions. Drive data pipelines and deliver analytics expertise to optimize workflows.
The role demands a professional...
BahWinnipeg
Booz Allen Hamilton is seeking an AWS Streaming Data Engineer to deliver end-to-end streaming solutions in a fast, agile environment. You will apply cloud-first software development and real-time ingestion across distributed environments.
The role...
CrowdStrikeWinnipeg
of cybersecurity starts with you.
About The Role:
CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models (LLMs) and AI platforms to join our growing Data Science Platform Engineering Team. You will be a key leader...
BahWinnipeg
Booz Allen Hamilton is seeking an AWS Streaming Data Engineer to deliver end-to-end streaming solutions in a fast, agile environment. You will apply cloud-first software development and real-time ingestion across distributed environments.
The role...
Michael PageWinnipegmichaelpage.ca
requirements and optimize data workflows.
• Review existing operations data, research open issues, and collaborate with the engineering and operations teams on new and ongoing projects.
• Design tools and infrastructure to analyze large volumes of data...
Arc'teryx EquipmentNorth Vancouver · Remote
Your Opportunity at ARC'TERYX:
As a Senior Data Engineer, you will lead the design and implementation of complex data architectures that drive critical business decisions across the organization. You'll architect scalable data solutions, optimize...
WBM Technologies LPWinnipegappcast.io
position, you will guide WBM's Data Management Services practice, designing data governance frameworks and developing efficient data engineering strategies. Your role involves collaborating closely with clients to ensure effective implementation of data...
ClioToronto · Remote
Clio seeks a Senior Data Engineer to craft data pipelines and warehouses, enabling partner teams with accessible datasets and scalable production code. You will work with state‐of‐the‐art technologies to solve complex data challenges and deliver...
DatabricksWinnipeg
About The Team
The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we...
AffirmWinnipeg · Remote
Affi, a remote-first company, is seeking a Senior Software Engineer to own backend systems at scale and to build data pipelines and measurement foundations for connected growth channels.
You will work with Product, Marketing, Analytics, and Data...
Bison Transport Inc.Winnipegappcast.io
is not:
• Not a BI/dashboard-development role (that's our Reporting function).
• Not a data science / statistical-modeling role (that’s our Data Science function).
• Not data engineering — you consume the warehouse, you don't build the pipelines.
NOTE...
CA004 WEPOINT Canada DéveloppementWinnipeg · Remote
Fabric ou détenir la certification Microsoft Fabric Data Engineer Associate (DP-700); - Posséder HUIT (8) ans d'expérience en ingénierie de données; - Détenir plus de CINQ (5) ans d'expérience en intelligence d'affaires, dont TROIS (3) ans en ingénierie...
WawanesaWinnipegappcast.io
and operationalization of machine learning and AI solutions. The engineer works closely with Business Stakeholders, Data Analysts, Data Scientists, and ML Engineers within Analytics Exploration to transform business opportunities into scalable, production-grade AI...
CA004 WEPOINT Canada DéveloppementWinnipeg
Développez vos compétences en data engineering avec Wepoint comme Conseiller en ingénierie de données intermédiaire. Ce rôle hybride vous permet de concevoir des solutions avancées sur Microsoft Fabric.
Wepoint recherche un(e) professionnel(le)...
Alignerr Corp.Winnipeg · Remote
experience
Nice to Have
• Experience across multiple languages or tech stacks — full‐stack, backend, systems, or data engineering
• Familiarity with AI/ML concepts, LLMs, or prompt engineering
• Background in code review, technical writing, or mentoring...
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