Top Data Engineer Jobs

The Data Engineer, Specialist designs and maintains scalable data pipelines, builds ETL processes, optimizes data storage, and collaborates with stakeholders to support analytics efforts.

Responsible for designing, developing, and maintaining databases and ETL systems to support business applications and business intelligence. Collaborates with stakeholders to align business requirements and leads the design of automated solutions for operational efficiency.

As a Data Engineer and Application Developer, you will build technology solutions, develop data pipelines, and manage scalable data platforms for various missions, collaborating closely with a multidisciplinary team.

As a Data Engineer, you'll build technology solutions, deploy data pipelines, and collaborate with teams to transform data into insights that drive important missions.

As a Data Engineer and Application Developer, you will create scalable data solutions, manage data pipelines, and collaborate with teams to analyze data across various industries.

As a Data Engineer, you'll build advanced technology solutions, develop data pipelines, and support scalable platforms for data analysis across various projects.

As a Data Engineer, you will design, build, and maintain scalable data platforms, working on mission-driven projects that analyze big data to derive insights. You will collaborate with multi-disciplinary teams in a fast-paced environment.

As a Data Engineer at Booz Allen, you will develop data pipelines, maintain data stores, and support the analysis of large datasets to provide meaningful insights for mission-driven projects.

The Data Engineer is responsible for designing, developing, and maintaining automated data quality validation and data pipelines within a DevSecOps framework.

The Data Engineer will design and develop data pipelines for quality monitoring, assess data integrity, and build web applications supporting user validation and analysis.

The Lead Data Engineer will test data pipelines, oversee quality control in data warehousing, analyze data, and collaborate with teams to enhance processes and resolve issues.

The Senior Data Engineer will develop scalable data pipelines, drive automation, enforce standards in Big Data, and collaborate with stakeholders on data solutions.

The Senior Data Engineer will develop and maintain data pipelines and products, collaborating with various teams to integrate data sources for analytics and reporting.

The Portfolio Chief Engineer will lead design and implementation of Data and Analytics Systems, working with customers and engineering teams to generate innovative solutions, engage in business development, and ensure technical excellence in large-scale information management.

The Data Solutions Engineer at AcuityMD will drive business results by engaging with customers on data products, showcasing their value, and addressing data-related challenges during the sales process.

The Lead Data Engineer delivers end-to-end data solutions, mentoring engineers, designing data architecture, and enhancing data pipelines across the organization.

As a Lead Data Engineer, you will collaborate with Agile teams, develop technical solutions, and enhance cloud-based data warehousing to empower financial services for customers.

Design and implement scalable ETL/ELT pipelines for structured and unstructured data, ensure data quality for bot training and real-time decisions, integrate data with conversational AI platforms, monitor and maintain voice bot systems, implement logging/monitoring, optimize data flows, and collaborate with AI/ML, DevOps, and compliance teams.

The Principal Data Engineer will manage the analytics data architecture, engage cross-functionally, and create reliable data systems using Snowflake and Python on AWS.

The Data Engineer will lead the development of scalable data pipelines, optimize data architecture on Azure and Snowflake, and mentor junior engineers while implementing innovative data solutions.

Build and maintain scalable data, model training, and inference pipelines for large multimodal 3D/4D microscopy datasets; implement multi-node GPU training/inference, ensure data provenance and quality, collaborate with scientists, document workflows, and support model deployment and public data release.

Design, build, and maintain data infrastructure, client integrations, and data models to support analytics and AI at Trovo Health.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

As a Data Engineer, you will develop data-driven decision analysis products for the DoD, ensuring effective stakeholder engagement, and leveraging advanced analytics and machine learning techniques.

The Data Engineer will develop data-driven decision analysis products, provide analytic consulting, support stakeholders with tools, and optimize defense systems for national security.