Top Data & Analytics Jobs

As a Data Engineer, you will transform raw healthcare data into quality intelligence products, lead product development, and mentor junior engineers while collaborating cross-functionally.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

The Principal Data Engineer will lead technical consulting efforts, manage data engineering projects, ensure quality control, and mentor team members while focusing on clinical data software and analytics solutions.

Lead the design of scalable data architectures, optimize data processing workloads, and mentor talent while promoting modern technologies and engineering excellence.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

This role involves overseeing data engineering applications, mentoring junior staff, analyzing complex issues, and fostering collaboration with stakeholders to achieve business insights and optimize data processes.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

As a Distinguished Data Engineer, you will lead the technical strategy for data pipelines, driving innovation and best engineering practices while mentoring internal teams and influencing stakeholders across the enterprise.

The Data Engineer II role involves optimizing data architecture, developing data pipelines, and supporting analytics initiatives for cross-functional teams.

As a Data Engineer, you'll lead data engineering projects, develop data transformations, build workflows with Apache Airflow, and ensure data quality and integrity while collaborating with stakeholders.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

Designs and implements data ingestion and transformation processes, automates quality checks, and maintains data pipeline reliability while supporting cloud integrations and Agile practices.

Design and implement data patterns, automate quality checks, and improve pipeline reliability. Develop streaming data applications and maintain infrastructure as code.

Designs and implements data patterns, automates quality checks, and ensures pipeline reliability. Collaborates on data ingestion, develops streaming applications, and maintains infrastructure as code while supporting user needs.

Design and implement reusable data patterns, automate quality checks, and enhance pipeline reliability, while developing streaming data applications and overseeing data integration.

Design and optimize database architecture and data models, implement data pipelines, develop solutions on cloud platforms, ensure data quality, manage projects and mentor junior engineers.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

The Data Engineer II will build and maintain data pipelines and warehouses, ensure data quality, and collaborate with cross-functional teams to support business intelligence and machine learning efforts.

The Solutions Data Engineer will manage data integrations end-to-end, utilizing FloQast's Data Platform and Data Studio to connect source systems and transform data for reliable outputs across applications.

Create and maintain data capabilities across the Advisor360° platform, building scalable data pipelines, updating integration capabilities, and troubleshooting systems.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.