Top Data Engineer Jobs

As a Data Engineer, you'll develop scalable data pipelines, build applications, integrate data sources, and support decision-making efforts while collaborating with team members.

As a Senior Clinical Data Science Programmer, you will develop and implement programming solutions, collaborate with scientists, generate datasets, and ensure data accuracy in clinical trials.

As a Senior Data Engineer, you'll analyze data to provide insights for clients in national security, developing methods and visualizations for large datasets, and guiding decision-making across organizations.

Leads data analysis projects, develops ETL/ELT pipelines for data management, and supports Agile/SCRUM methodology for project execution.

As a Data Engineer Intern, you'll develop pipelines for organizing data, support data platforms, and grow skills in analytics and data examination.

The intern will assist in designing and developing data solutions, collaborate with teams for data transformation, and help create models for analytics and reporting.

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.

Develop and optimize data pipelines for reporting and advanced analytics. Ensure data quality and create real-time processing applications. Collaborate with DevSecOps teams and enhance data management procedures.

As a Data Engineer, you will develop and maintain data pipelines, ensuring data quality and collaborating with teams to optimize data strategies and governance.

As a Junior Data Engineer, you'll develop and deploy data pipelines and platforms, organizing data from various sources for insights. You'll work in an agile team to support scalable platforms and learn through collaboration.

The Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

Design and develop scalable data solutions, manage data pipelines, optimize performance, perform production support, and collaborate with stakeholders.

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

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

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

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.

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.

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 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.

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.

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.

The Data Engineer will develop data pipelines, implement analytical solutions, and optimize performance using big data technologies to drive insights and decisions.

The HR Data Engineer designs and maintains data pipelines, transforms HR data into insights, and ensures data accuracy, governance, and security while supporting analytics initiatives.