Top Data Engineer Jobs

The role involves data extraction and transformation for product managers, supporting claims data reporting and systems transformation. Experience in claims systems and software programming is necessary.

The Data Analytics Engineer will architect and maintain data infrastructure, optimize ETL/ELT pipelines, develop dashboards, automate workflows, and collaborate across teams to enhance data usage.

The Senior Data Engineer designs and maintains data infrastructure, processes data from various sources, optimizes workflows, and collaborates with stakeholders to provide data insights.

The Lead Data Engineer will onboard customers to the data warehouse, analyze data use cases, and implement improvements using modern cloud-native technologies. Responsibilities include collaborating with various teams, ensuring data quality, and automating processes for efficient analytics and infrastructure designs.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

Lead the design and implementation of scalable data infrastructure and products. Collaborate with cross-functional teams to address complex data challenges and drive engineering best practices.

Lead architectural design for Coupang's data ecosystem, drive technical decisions, and collaborate with engineering teams on implementations to enhance data capabilities and operational excellence.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

Lead the Data Platform team, build and maintain scalable data pipelines, mentor engineers, and ensure infrastructure reliability and observability.

The Senior Data Engineer will design and develop data pipelines, ensure data quality, lead cross-functional initiatives, and mentor others while driving impact through efficient infrastructure.

The Senior Data Engineer will build and maintain data systems, collaborating in an Agile environment to optimize data engineering solutions, lead innovation, mentor juniors, and enhance data analytics capabilities.

The Staff Data Engineer will design and implement data warehousing solutions, lead design discussions, mentor engineers, and tackle complex data challenges while ensuring data quality and insights delivery.

As a Data Operations Engineer III, you will ensure data availability, integrity, and accessibility, improve observability, automate tasks, enhance data quality, and support onboarding of new data assets.

The Lead Data Engineer drives business insights through data analysis, collaborates with ML and Data teams, and ensures data quality and integrity.

The Senior Data Engineer will improve data platforms, implement best practices, and lead initiatives across business teams using various cloud and big data technologies.

The Sr Data Engineer will lead the Ceded Reinsurance Integration Initiative, develop scalable data pipelines, mentor junior engineers, and consult with cross-functional teams while utilizing Agile practices.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

The Senior Data Engineer will develop, maintain, and optimize data pipelines and architectures using Snowflake on Azure while ensuring data reliability and performance.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

The Data Integration Developer will create and maintain data integrations, troubleshoot issues, and support data analysis and reporting for internal and external systems.

The Senior Data Engineer leads the development of data services and solutions, designs data models, and implements improvements in data architecture, ensuring high-quality data processing and compliance with business needs.

Design and build optimized data pipelines, develop data models, implement CI/CD pipelines, and lead a team of Data Engineers while integrating with cloud platforms like AWS and GCP.

Lead the design and development of scalable data solutions, improve Ad Relevancy, and mentor junior engineers in a collaborative environment.

As a Data/Analytics Engineer VP, you will manage the lifecycle of data assets, ensure data quality, and create dashboards while collaborating with AI and data science teams.