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Lead the design and delivery of end-to-end Microsoft Fabric data solutions (Lakehouse, Warehouse, Pipelines, semantic models) for multiple consulting clients, combining hands-on T-SQL/PySpark/Python engineering with architecture, CI/CD via Azure DevOps/GitHub Actions, and mentoring.
The Azure Data Engineer will design and implement data pipelines for data lakes to support analytics and machine learning models. The role involves collaborating with architects and analysts while leading mid-sized teams using Azure and Spark/Databricks technologies.
NTT DATA Italia is seeking an AWS Data Engineer to design and manage data pipelines, including acquisition, transformation, and loading into data lakes for analytics and machine learning applications.
The Cloud Data Engineer will design and manage scalable cloud-native data pipelines and platforms to support Big Data, Machine Learning, and Business Intelligence initiatives. The role involves working with various cloud technologies to process structured and unstructured data while providing advisory services to clients.
Who We Are We are a venture-backed manufacturing startup building the most advanced automated production facilities in the United States. We are on a mission to make American manufacturing economically viable — through…
Senior Azure Data Engineer to assess, design, and potentially build a modern Microsoft-based lakehouse data platform for a pharmaceutical CDMO, starting with a 6-week discovery phase using Azure Data Factory, Microsoft Fabric, and Databricks.
This role involves building and maintaining full-stack cloud applications for Generative AI, primarily using Python or .NET on Microsoft Azure. The developer will own the full lifecycle of AI-powered solutions, including RAG and agent-based architectures, while occasionally contributing to React/Next.js frontends.
The Senior Data Engineer will design, build, and optimize complex distributed data architectures and pipelines using AWS, Python, and SQL. The role involves automating infrastructure via IaC, ensuring data quality and security, and providing technical mentorship.
The Staff Data Engineer will design, build, and optimize robust data infrastructure and pipelines to support MACH's data operations. The role involves implementing data governance, enabling AI initiatives, and ensuring platform observability using AWS and modern data engineering practices.
The Azure Data Platform Engineer will design and maintain a secure, scalable data lake and reporting platform using Azure Data Factory and ADLS Gen2. The role focuses on integrating SAP data to support global financial reporting while ensuring data governance and performance optimization.
Data Engineer on the Azure cloud team at NTT Data Argentina, designing data ingestion and processing solutions and collaborating with business areas to deliver results.
Design, develop, and optimize scalable Azure data platforms and pipelines (Data Lake Gen2, Blob Storage, Spark, SQL) supporting analytics and BI across the organization.
Data Engineer designing and building ETL/ELT processes on Azure using SQL and Python for a global IT services firm.
Principal Data Engineer architecting and deploying scalable big data systems, ETL/ELT pipelines, and AI infrastructure foundations using distributed computing frameworks (Spark, Flink), streaming platforms (Kafka), cloud data warehouses, and data lake architectures.
Design and implement an end-to-end AWS Data Lake and Lakehouse solution, define standards, govern metadata, and build scalable ingestion pipelines using AWS services, SQL, and Python or Scala.
The Cloud Data Engineer will design and operate scalable data pipelines on AWS using PySpark, Python, and modern orchestration tools. The role focuses on building ETL/ELT workflows, serverless solutions, and implementing IaC practices for data lake architectures.
Mid-level Data Engineer building and maintaining scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and cloud platforms (Azure/AWS/GCP) at an engineering services firm.
Data Engineers will focus on the design and build out of data models, codification of business rules, mapping of data sources to the data models (structured and unstructured), engineering of scalable ETL pipelines,…
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines within a Databricks Lakehouse environment to support BI and AI initiatives. This hybrid role requires expertise in Python, SQL, and Azure cloud services, emphasizing software engineering best practices like CI/CD and Infrastructure as Code.
The Lead Data Engineer will guide a team in designing and implementing scalable data solutions on the Azure cloud platform. The role involves mentoring developers, overseeing architecture, and ensuring high-quality data pipelines using Python, SQL, and Pyspark.
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