Top Data Engineer Jobs

As a Data Engineer Apprentice, you will maintain data pipelines, automate workflows, and collaborate on projects while completing the AI and Machine Learning bootcamp.

The Data Engineer will design and implement data architectures, manage data ingestion and transformation, and support the data ecosystem for investment strategies.

The Data Analytics Engineer will manage data integration, create dashboards, analyze healthcare data, and support decision-making in a collaborative environment.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

As the first Data Engineer, design and implement a scalable data platform, build data pipelines, and establish data modeling standards. Enable BI accessibility and document core metrics.

Design and build data pipelines using AWS services and Python. Collaborate with data teams to ensure data quality and optimize performance.

Engage in full data engineering life cycle including analysis, design, pipeline engineering, and production support. Collaborate with teams for data solutions and insights.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

As a Data Engineer, design and maintain data pipelines, ensure data quality, and support AI workflows using modern tools and cloud environments.

The Data Engineer will support NIH operations, managing complex data environments, utilizing SQL, Python, and cloud technologies, with a focus on troubleshooting and team collaboration.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Data Engineer will enhance the enterprise Data Lake by integrating data sources, ensuring data accessibility, and supporting analytical teams through data ingestion, transformation, and governance in both cloud and on-prem environments.

The Sr. Data Engineer is responsible for application development, database performance monitoring, data analytics, and ensuring compliance with quality standards.

The Analytics Engineer will enhance the People Data Warehouse, model data, partner with stakeholders, and ensure data integrity for decision-making.

Lead a team of Data Engineers in developing and implementing data solutions. Collaborate with Agile teams and mentor peers in modern data technologies and practices.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

As a Data Engineer, you will develop and manage the data infrastructure that supports HTS Media's advertising business, build ETL/ELT pipelines, and enable data-driven insights for advertisers and internal analytics.

The Data Engineer will develop dashboards, manage datasets, conduct data analysis, ensure data quality, and collaborate with stakeholders.

As a Data Engineer, you will create efficient data models, pipelines, and analytics frameworks, collaborating with various departments to transform raw data into actionable insights.