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Senior Data Engineer
This Senior Data Engineer role involves building and maintaining large-scale ETL/ELT pipelines for advertising analytics using Snowflake and AWS. The engineer will own data architecture, mentor junior staff, and work with real-time data processing to support AI-driven products.
Principal Data Engineer (m/w/d)
The Principal Data Engineer will design and build scalable Big Data, analytics, and AI platforms while leading engineering projects and client communication. The role involves operationalizing AI models and mentoring teams using cloud-native technologies like Spark, Kafka, and various IaC tools.
Senior Data Engineer
The Senior Data Engineer designs, develops, and maintains scalable data pipelines and models using Databricks and AWS technologies. This role ensures high-performance data integration and platform reliability to support analytics and AI/ML initiatives within a pharmaceutical services environment.
Consultant - Analytics Engineer
Sia Partners is seeking an Analytics Engineer to bridge data analysis and data engineering by building robust data models and ETL/ELT pipelines for clients. The role involves transforming raw data into actionable insights using tools like SQL, cloud platforms, and BI software.
Multiple Data Engineer
Build and maintain Databricks-based Lakehouse architectures using Delta Lake and Medallion patterns to ingest, transform, and monitor environmental and climate data for a government agency.
Data Engineer I, Amazon External Payments
Leads data engineering efforts for Amazon Pay, building high-performance data pipelines and supporting ad-hoc data access using SQL, Redshift, Python, and Spark.
Senior Data Engineer
A Senior Data Engineer builds and maintains scalable data pipelines on Databricks, creating curated data assets, data marts, and BI-ready datasets for analytics. Core work includes ETL/ELT processes, data validation, and optimizing pipeline performance.
Senior Data Engineer
Designs and maintains scalable data pipelines and architectures in Azure/Databricks, focusing on ETL/ELT, data transformation, and cloud-based data processing to support analytics and decision-making.
Data Engineering Consultant with Azure Expertise
Acts as a Data Engineering Consultant developing, optimizing, and governing ETL/ELT pipelines using Azure Databricks, managing data governance with Unity Catalog, and collaborating on data solutions.
Senior Data Engineer Role in Toronto
Lead large-scale data engineering and pipeline maintenance using Python, SQL, and Hadoop to transform datasets and support analytics in an onsite capacity.
Principal Data Engineer
Leads the technical roadmap for Xplore’s data platform, designing a scalable lakehouse architecture (bronze/silver/gold) to unify siloed data from on-prem systems, Salesforce, and telemetry for BI, AI, and analytics. Focuses on governance, security, compliance, and team mentorship.
Data Engineer - Hybrid
The Data Engineer will design, develop, and maintain scalable cloud-based data pipelines and ETL/ELT processes to support enterprise analytics for a regional health insurance provider.
Senior Data Engineer
The Senior Data Engineer will design and manage large-scale ETL/ELT pipelines and lead data migration projects using Python, PostgreSQL, and Oracle.
Data Architect
Design and optimize Azure-based data solutions, pipelines, and models using PowerBI, SQL, and AI technologies to support business intelligence and governance.
Senior Manager, Data Platforms and Engineering
About Pacific Blue Cross Pacific Blue Cross (PBC) is British Columbia’s leading health benefits provider, dedicated to improving the health and wellbeing of members and communities across the province. Guided by values…
Reporting and Analytics Developer / Data Engineer 1026
A Reporting and Analytics Developer/Data Engineer designs and deploys data systems, builds ETL pipelines, and collaborates with cross-functional teams to develop scalable data-driven products, working with data warehouses, lakes, and cloud technologies like AWS and GCP.
Automation Engineer (Data Platform)
Automation Engineer responsible for developing and maintaining automation frameworks for data platforms and pipelines, including validation for data ingestion, transformation, and reporting workflows. Core technologies include Snowflake, Apache Airflow, Python, Java, and CI/CD tools.