Top Data Engineer Jobs

The Data Engineer will design, develop, and deploy data pipelines and infrastructure, ensuring data quality and collaborating with cross-functional teams to support analytics efforts.

The Data Engineer will implement data structures and workflows, manage data pipelines, ensure data integrity, support analytics, and adhere to HIPAA regulations.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

Design, build, and maintain data pipelines and infrastructure for machine learning and analytics. Collaborate with teams to support data quality and reporting.

The Data Engineer will design, build, and scale data infrastructures, manage data workflows, optimize performance, and mentor junior engineers. Responsibilities include driving technical efforts, ensuring reliability, and documentation.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

The Data Engineer is responsible for designing and implementing methods to improve data quality and reliability, and developing pipelines for data extraction, transformation, and analyzing to support business intelligence tools.

The Data Engineer III is responsible for designing and implementing BI solutions, managing data governance activities, and collaborating on data quality initiatives while ensuring stakeholder satisfaction.

The Principal Data Engineer leads data engineering efforts, establishing standards, overseeing architecture, and mentoring teams to build enterprise-scale data platforms using Microsoft Fabric and Azure services.

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 Sr Data Engineer, AVP will analyze complex problems, develop applications, manage projects, ensure compliance, and coach junior analysts while working with various data technologies.

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.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

The Data Engineer role involves developing and maintaining data pipelines for forecasting in commercial real estate, ensuring data integrity and supporting analytics teams.

Lead the design and development of enterprise data architecture for a federal client, integrating HR and financial data systems with advanced analytics capabilities.

The intern will develop a Python application for synchronizing radar and GPS data, implement algorithms, and create a user interface for data visualization and analysis.

The Data Engineer III will manage large projects within the Analytics department, lead discussions with stakeholders, and mentor junior team members. Responsibilities include ensuring data model efficiency, utilizing SQL and Snowflake, and optimizing data pipelines.

As a Data Engineer at Booz Allen, you will develop and implement data pipelines, work on data management and visualization, and improve processes using Microsoft Power Platform.

As a Data Engineer, you'll develop and maintain data applications, create ETL workflows, and collaborate with cross-functional teams to provide insights from data.

As a Databricks Data Engineer, you will develop pipelines for data processing, maintain scalable data stores, and work within a collaborative team to solve complex data challenges.

The Data Engineer will scale analytics in Finance, manage critical ETL pipelines, and ensure effective data solutions for business needs. Collaboration with stakeholders and leading projects are key responsibilities.

As a Data Engineer Intern, you will design, develop, and test data pipelines while learning about data management in cloud platforms. Responsibilities include maintaining and troubleshooting existing pipelines to ensure data reliability and consistency.

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

The Data Engineer will lead the migration of large datasets from legacy systems to AWS cloud, develop analytic applications, and manage SQL Server and Oracle databases.