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The Data Engineer will design, develop, and optimize data pipelines for a marketing platform using GCP, SQL, and Python. The role focuses on ensuring data quality, building automated monitoring, and managing raw data ingestion within a Medallion architecture.
Senior Data Engineer builds and scales high-performance pipelines and Snowflake-based warehouses that feed ZoomInfo’s AI products, owns production systems, and mentors teams.
Freelance Data Engineer structuring and automating Welleat's entire data chain—building ETL/ELT pipelines, optimizing relational databases, and ensuring data quality for a connected collective-catering startup.
The Data Engineer will design, develop, and optimize data pipelines and architectures using Snowflake, Python, and SQL. The role involves managing the full data lifecycle, from ingestion to transformation, while ensuring data quality and system performance.
GoMind is hiring a Data Engineer to build and maintain robust, scalable data platforms for clients using modern ELT/ETL pipelines and data observability practices. The role involves modeling databases, ensuring data quality, and working across both on-premise and cloud environments.
The Cloud Data Engineer will build and maintain data pipelines and architectures using Microsoft Fabric, Azure, and dbt within a healthcare context. The role focuses on data governance, modeling, and analytics, specifically handling HIPAA-compliant data.
Analytics Engineer About National At National Corporate Housing, we turn complex temporary housing challenges into comfortable, seamless solutions. Since 1999, we’ve delivered customized corporate housing and…
The Data Engineer provides L2/L3 operational support for enterprise data platforms, focusing on troubleshooting Databricks environments, ETL/ELT pipelines, and cloud-native services on AWS or Azure. The role involves incident management, performance monitoring, and automation to ensure the reliability of data processing systems.
Data Engineer designing ETL/ELT pipelines and administering data stores using Azure Data Factory, Databricks, Oracle, and SQL Server to support enterprise reporting and analytics.
The Data Engineer designs, builds, and maintains enterprise data pipelines and integration processes to support analytics, BI, and AI initiatives. The role utilizes technologies such as Microsoft Fabric, SQL, Python, and Spark to ensure reliable and scalable data platform services.
The Junior Data Engineer will assist in developing and maintaining ETL/ELT pipelines, writing complex SQL queries, and ensuring data quality. The role requires strong proficiency in Python and SQL, with a focus on collaborating with cross-functional teams to build robust data architectures.
Build and deploy ETL/ELT pipelines to integrate data from multiple sources into centralized repositories using Python, SQL, and cloud data platforms.
Data Engineer building and optimizing enterprise data pipelines and architecture using Snowflake and Informatica, supporting data scientists, analysts, and developers at a mortgage banking firm.
Data Engineer building and maintaining scalable batch and real-time data pipelines for an IoT-enabled worker safety platform, using AWS data services, Python/SQL/Java/Scala, Kafka, Terraform, and AWS Glue.
The Senior Data Engineer will design, build, and maintain scalable enterprise data pipelines and BI solutions for the Government of Alberta. The role involves working with cloud platforms like Azure, Databricks, and Microsoft Fabric to transform complex datasets into actionable insights.
Data Engineer focused on Master Data Management, building and maintaining ETL/ELT pipelines into Snowflake, enforcing data quality, and managing Golden Records for a fleet management company's enterprise data platform.
Builds and maintains Snowflake-based ETL/ELT pipelines to implement MDM, ensuring data quality and trusted Golden Records for business decision-making.
The Junior Data Engineer will build and maintain ETL/ELT workflows and data models to support marketing analytics and dashboarding. The role involves working with Google BigQuery, SQL, and visualization tools like Tableau to ensure reliable data flows for high-profile clients.
The Data Engineer will design, develop, and maintain data pipelines and platform services using Microsoft Fabric and Apache Spark to support the Canadian Cancer Society's digital transformation. This role involves building scalable data solutions, ensuring data quality and governance, and collaborating with cross-functional teams in a hybrid work environment.
Senior Data Engineer building scalable data architectures and enterprise data products on Azure, Databricks, Delta Lake, Spark/PySpark, SQL, and Python, leading ETL/ELT pipelines, data quality, and governance initiatives while mentoring engineers.
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