Top Data Engineer Jobs

Build scalable pipelines and infrastructure to collect, validate, curate, and publish large multimodal 3D/4D microscopy datasets; collaborate with labs and engineers, document provenance, apply statistical analysis and visualization, and support ML research and open-data access.

Build and maintain scalable data, model training, and inference pipelines for large multimodal 3D/4D microscopy datasets; implement multi-node GPU training/inference, ensure data provenance and quality, collaborate with scientists, document workflows, and support model deployment and public data release.

Design and maintain data pipelines and cloud-based platforms for analytics and machine learning workloads, collaborating with AI/ML engineers and ensuring data quality and governance.

The Data Engineer will build and maintain data models for reporting, automate workflows, and develop AI-powered tools to enhance organizational efficiency.

The Data Engineer III will design and implement scalable data pipelines, ensuring data quality and integrity, while mentoring junior engineers and collaborating on data solutions across an academic healthcare environment.

The role involves architecting cloud solutions, designing data pipelines, and ensuring data governance with a focus on performance and security. The engineer provides mentorship and collaborates on complex projects, utilizing Python and SQL.

The Senior Cloud Data Engineer will design, build, and maintain scalable data pipelines while collaborating with teams to translate business needs into technical solutions, ensuring high-quality data architecture and continuous improvement in a consulting environment.

Design and implement data engineering solutions using Google Cloud Platform, focusing on data ingestion, processing, storage, and governance while collaborating with stakeholders to meet business objectives.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Data Engineer will design, develop, and deploy data pipelines and infrastructure, ensuring data quality and collaborating with cross-functional teams to support analytics efforts.

The Cloud Data Engineer will design and develop data ingestion pipelines, manage GCP infrastructure, and ensure data availability for operational systems, leveraging AI tools and collaborating closely with data specialists.

The Data Engineer will implement data structures and workflows, manage data pipelines, ensure data integrity, support analytics, and adhere to HIPAA regulations.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

As a Data Engineer II, you will design and operationalize complex data solutions, focusing on data transformation, governance, and collaboration across teams to enhance analytics capabilities.

Design, build, and maintain data pipelines and infrastructure for machine learning and analytics. Collaborate with teams to support data quality and reporting.

The Data Engineer will design, build, and scale data infrastructures, manage data workflows, optimize performance, and mentor junior engineers. Responsibilities include driving technical efforts, ensuring reliability, and documentation.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

The Data Engineer is responsible for designing and implementing methods to improve data quality and reliability, and developing pipelines for data extraction, transformation, and analyzing to support business intelligence tools.

The Data Engineer III is responsible for designing and implementing BI solutions, managing data governance activities, and collaborating on data quality initiatives while ensuring stakeholder satisfaction.

The Principal Data Engineer leads data engineering efforts, establishing standards, overseeing architecture, and mentoring teams to build enterprise-scale data platforms using Microsoft Fabric and Azure services.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

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.

As a Data Engineer, you will develop data-driven decision analysis products for the DoD, ensuring effective stakeholder engagement, and leveraging advanced analytics and machine learning techniques.

The Data Engineer will develop data-driven decision analysis products, provide analytic consulting, support stakeholders with tools, and optimize defense systems for national security.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.