Top Data Engineer Jobs

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.

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.

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 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.

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.

As a Data Engineer I, you will build and operationalize complex data solutions, analyze data sources, and support data governance and quality initiatives.

Design and build scalable data pipelines and architectures for League Studio, ensuring data reliability and supporting analytics across teams while mentoring junior engineers.

As a Data Engineer, you will design database architecture, manage ETL/ELT pipelines, create financial reporting systems, and ensure data quality in collaboration with finance teams.

The Azure AI Data Engineer will develop and support data solutions in Azure, automate data pipelines, and enhance services using AI. Responsibilities include troubleshooting data issues, collaborating with stakeholders, and maintaining documentation.

The Data Engineer will build and maintain scalable data pipelines, optimize data for AI/ML models, and collaborate with engineers to ensure data quality and integration across systems.

As a Data Engineer II (Tech Lead), you will design and build complex data solutions, optimize data transformation processes, and collaborate with teams to enhance analytical capabilities across the organization.

The Data Engineer will design and maintain scalable data pipelines and SQL database solutions, ensuring data quality and documentation across projects.

As a Data Engineer, you will design and implement data pipelines, analyze requirements, and develop software solutions to drive operational efficiency.

The Data Engineer will design and implement data pipelines, develop dashboards, collaborate with military clients, and ensure compliance with federal standards.

The Data Engineer will assist in testing and deploying applications, implementing data quality and warehouse pipelines, and collaborating with various teams.