Top Data Engineer Jobs

The Data Engineer will design and implement data pipelines, optimize data models, and collaborate with teams on data needs and analytics solutions.

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.

The Data Engineer will provide automated data sets, implement reporting dashboards, perform data analytics, and collaborate with teams on data-related initiatives. This role focuses on advancing a data-driven culture in the Neurovascular business.

As a Data Engineer, you will design and optimize data platforms using Microsoft technologies, develop ingestion pipelines, and implement data architectures to support analytics needs.

Design and implement scalable database solutions, collaborate with teams, configure database environments, ensure performance and security, and provide technical guidance.

This role involves designing and implementing database solutions, collaborating with teams, and ensuring data security and performance for customer projects.

The Data Engineer will automate reporting, support data analytics for quality systems, and drive a data-driven culture within the Neurovascular team.

The Data Engineer II will design, build, and deploy data solutions that enable organization-wide access to data, supporting AI, Machine Learning, and business intelligence. Responsibilities include creating data pipelines, ensuring data quality, and collaborating with teams to enhance data products.

Intern will gain hands-on experience in data engineering by working with technologies like Databricks, SQL, and Azure. Responsibilities include technical proficiency development and participation in AI projects.

The Data Engineer II is responsible for designing, building, and maintaining data processing architectures, working with SQL in Azure cloud environments, and transforming data into actionable insights.

The Data Engineer will design, build, and maintain data pipelines, ensure data quality, and collaborate with teams to support analytics and business decisions.

As a Data Engineer, you will build and maintain data pipelines, ensure data reliability, collaborate with teams, and drive improvements in data platforms while supporting analytics and decision-making.

The Sr Data Engineer, AVP will analyze complex problems, develop applications, manage projects, ensure compliance, and coach junior analysts while working with various data technologies.

Design, build, and operationalize data and ML pipelines on Databricks. Implement CI/CD and infrastructure-as-code, ensure data quality/governance, troubleshoot incidents, and collaborate cross-functionally to enable reproducible ML lifecycle and deployments.

Lead data engineering teams, oversee data architecture and pipelines, implement data governance, and partner with cross-functional teams to drive business outcomes and enhance data management practices.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

The Principal Data Engineer will lead the Data Resolution team, focusing on complex data challenges using Spark, system architecture, and mentorship, to optimize graph data pipelines.

The Data Engineer will perform ETL/ELT operations, develop data solutions, maintain data structures in a data warehouse, and resolve data issues while collaborating with teams on projects.

The Data Engineer will design, develop, and optimize data pipelines, ensuring data quality and reliability while collaborating with plant teams to meet business needs.

The Data Engineer will develop data analytics for visual applications, analyze relational data using advanced techniques, and create actionable intelligence from structured data.

The Data Engineer Senior will develop an advanced visual analytic application, analyze relational data, and utilize high-performance computing for actionable intelligence.

As a Data Engineer I, you'll design and optimize scalable data pipelines, ensuring accuracy and performance while managing healthcare data integration and customer-focused data products.

The Data Developer II designs, develops, and maintains data products, supporting data acquisition and modeling to enhance business operations.

Design and develop ETL workflows, process Kafka streams, and implement data transformation to generate insights and compliance reports.

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architectures. Automate ingestion, transform and validate data, enforce data governance, optimize queries, troubleshoot production issues, and collaborate with stakeholders to deliver timely BI and analytics solutions.