Top Data & Analytics Jobs

Design and develop data models, pipelines, and practices to support a digital app, ensuring reliable and scalable data procurement.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

Lead the development of a modern Data Warehouse platform in the cloud, owning data ingestion pipelines, data models, and infrastructure while mentoring junior engineers.

Responsible for designing, building, and maintaining data infrastructure, managing AWS services, and ensuring data reliability for Ecosystem Security.

Responsible for designing and maintaining data infrastructure, building ETL pipelines, managing AWS resources, and collaborating on data services to enhance security.

The Sr. Data Engineer will develop large-scale data structures, manage ETL workflows, collaborate with Data Science teams, and ensure data quality and accessibility.

Develop and manage data structures, pipelines, and ETL workflows; collaborate with Data Science, optimize queries, and ensure data quality.

The Staff Data Engineer will develop and manage data structures, pipelines, and ETL workflows for data analysis in retail and healthcare, collaborating with the Data Science team and optimizing data processing systems.

Develops and manages data structures, pipelines, and ETL workflows to support business applications, collaborating with Data Science teams and integrating data from various sources.

Develop and manage large-scale data structures and ETL workflows, collaborate with data science teams, and enhance data systems for insights.

The Sr Data Engineer will design and manage data pipelines, write ETL processes, collaborate with Data Science, and ensure data quality.

Develop and manage large-scale data structures, pipelines, and ETL workflows, collaborating with data science teams and utilizing cloud technologies.

The Sr. Data Engineer develops and manages data structures and ETL workflows, collaborates with Data Science, and improves systems for analytics.

The Sr Data Engineer designs and manages large-scale data structures and pipelines, develops ETL processes, and collaborates with Data Science teams to optimize data for analytics.

Design and manage data structures and pipelines, develop ETL processes, collaborate with Data Science teams, and maintain data quality standards.

The Sr. Data Engineer will analyze and build large-scale data structures, manage ETL workflows, collaborate with Data Science, and enhance data systems.

Design, build, and manage large scale data structures and ETL workflows while collaborating with data science to generate insights and support reporting needs.

The Sr. Data Engineer will develop and manage data pipelines, perform ETL, collaborate with data science teams, and optimize data systems.

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

The Sr. Data Engineer will develop and manage data pipeline architectures, analyze data from various sources, build analytics tools, and support business users with actionable insights.