Top Data & Analytics Jobs

As a Data Engineer, you'll develop data architectures and pipelines, manage scalable data processing, automate workflows, and ensure data quality within the Data Platform organization.

The Data Engineer will migrate ad hoc data flows to AWS, automate data processes with Python, and manage data systems using Maven and Palantir tools.

Lead Data Engineer responsible for organizing data from diverse sources, building technology solutions, and mentoring a team in a fast-paced environment.

The Data Engineer will develop data pipelines and integrations, focusing on healthcare data to enhance financial operations, ensuring efficient data handling and driving impactful solutions.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

Lead data integration strategies, ensure data quality, develop BI improvements, and manage junior analysts to meet customer analytics needs.

The Principal Data Engineer designs, implements, and maintains database systems, ensuring performance and security while mentoring junior staff and defining system architecture.

The role involves structuring and ingesting customer data, setting up ETL pipelines, and providing solutions for data export and import.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Data Engineer will build and operationalize data solutions, analyze data sources, ensure data governance and quality, and support analytics across teams.

As a Data Engineer, you will develop and optimize data solutions, manage data pipelines, and support analytics needs through collaboration and problem-solving.

As a Data Engineer at MAI, you will develop and maintain data platforms, design ETL/ELT processes, ensure data quality, and collaborate with teams to optimize data utilization for analytics and ML applications.

The Data Engineer will design and maintain ETL pipelines on Databricks, ensuring data quality and performance for banking applications, while mentoring junior engineers.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.

The Enterprise Analytics Data Engineer II will build data pipelines, optimize data platforms, ensure data quality, and collaborate with teams to create actionable insights from healthcare data.

The Technical Consultant will design and maintain ELT pipelines using Snowflake and DBT, optimize Snowflake performance, and collaborate with stakeholders for data solutions.

The Specialist, Data Engineering will design and develop data solutions, integrate data sources, and build data pipelines to support analytics and product offerings.

The Data Engineer III will lead the development and maintenance of data infrastructure and tools, ensuring data integrity while driving strategic data initiatives.

As a Data Engineer at Booz Allen, you will drive data exploration, analysis, and visualization using advanced methods, while leading teams and collaborating with clients to unlock insights from complex datasets.

As a Data Engineer, you will support the Department of State by analyzing data, developing data pipelines, and ensuring data management aligns with client needs.

Responsible for designing, developing, and maintaining databases and ETL systems, collaborating with stakeholders, and optimizing data integration processes.

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

As a Data Engineer, you'll design and optimize data pipelines, collaborate with teams for analytics and machine learning, and enforce data governance standards.