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The Data Engineer will design, build, and maintain reliable data ingestion and transformation pipelines using AWS and Databricks. The role involves developing data processing layers, ensuring data quality, and collaborating with cross-functional teams to deliver production-ready data solutions.
The Lead Data Engineer will design and build scalable data platforms and pipelines to support analytics, digital products, and AI/ML workloads. This hands-on leadership role involves mentoring engineers, establishing engineering standards, and leveraging AI-enabled tools to optimize data workflows.
Senior individual-contributor Data Engineer owning the full lifecycle of Bain's Coro B2B analytics data platform — from technical architecture and hands-on Python development through CI/CD deployment and operations, while mentoring junior engineers.
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.
This Senior BI Developer role involves designing and implementing modern data solutions using Microsoft Fabric, Power BI, and Azure. The position focuses on building data pipelines and warehouses while integrating AI-driven applications, automation, and agents into client projects.
A Data Engineer building and modernizing cloud data pipelines, migrating legacy ETL workflows, and implementing Delta Lake medallion architecture using AWS, Databricks, Informatica, PySpark, and SQL.
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.
Design, build, and optimize scalable data products using Azure Databricks and PySpark, collaborating with business and technical teams on end-to-end data solutions, data governance, and CI/CD processes.
Data Engineer building and optimizing scalable ETL pipelines on Azure and Databricks using Python/PySpark and SQL for an enterprise data platform initiative.
Senior Data Engineer building scalable data pipelines and platform components on the Databricks Lakehouse using SQL, Python, and PySpark, with IaC and CI/CD practices for analytics and AI use cases.
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.
The Data Engineer will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
Data Engineer designing, building, and maintaining data pipelines and ETL processes using Databricks, Python/PySpark, SQL, Azure Data Factory, and Delta Live Tables.
The Data Engineer will design and manage data pipelines on the Azure platform, working with technologies like Azure Databricks and PySpark. The role involves collaborating with international teams on advanced data projects in a hybrid or remote environment.
AESYS is seeking a Data Engineer to design and implement data pipelines on Azure using Databricks, PySpark, and ADF. The role involves working with Delta Lake architectures and managing data integration from various sources in a hybrid or remote environment.
Data Engineer III building and maintaining cloud-based data pipelines, lakehouse architectures, and analytics solutions on AWS (S3, Glue, EKS, Lambda) using Python and Spark for JPMorgan's International Consumer Bank.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Be part of a dynamic team where your distinctive skills will contribute to a winning culture and…
Data Engineer & Analyst on RBC's Retail Credit technology team, building ETL pipelines, data models, and climate risk analytics using Python, PySpark, and SQL to support climate risk disclosures and regulatory governance.
Design and implement Azure data pipelines using Databricks, PySpark, and ADF, collaborating with data platform teams on Delta Lake architectures with focus on security, governance, and performance.
Data Engineer designing and managing data pipelines on Azure, working with ETL/ELT, Azure Databricks, and PySpark in an international, hybrid/remote context.
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