Top Data Engineer Jobs

As a Data & Analytics Engineer, you will collaborate with teams to develop and optimize data solutions, build ETL pipelines, and deliver actionable insights for clients.

As a Senior Big Data Developer, you will implement scalable data solutions, oversee feature development, and collaborate with stakeholders to enhance the data infrastructure.

As a Data Engineer, you'll build scalable data pipelines, enhance data workflows, and ensure data quality while collaborating with the team.

The Senior Data Engineer will design and implement data solutions for marketing analytics, manage data models, and collaborate with various teams to enhance data accessibility and insights.

The Lead Data Engineer will design and build data pipelines using various technologies, working closely with data science and engineering teams to manage large datasets and build applications for data orchestration and monitoring.

The role involves supporting data migration from GCP to Azure, focusing on ETL processes, data quality assurance, and environment management.

As a Lead Data Engineer, you will design and implement scalable data solutions and collaborate with teams to refine data products effectively.

The Developer in Test designs and maintains automation frameworks, conducts quality assurance tasks, and ensures data integrity for Azure data engineering projects.

The Senior Data Engineer will develop data pipelines and architecture for big data solutions, utilizing AWS and various data technologies, while collaborating within an Agile team.

The Senior Data Engineer at CVS Health will develop and manage data systems, analyze logs, communicate requirements, and ensure scalable data processes.

Design, develop, and maintain data infrastructure for clients, focusing on Python, PySpark, ETL processes, and CI/CD pipelines.

Lead data observability initiatives, develop frameworks, mentor teams, create metrics, engage clients, enhance data health, and adopt new technologies.

The Senior Data Engineer designs and maintains data pipeline architectures, oversees junior engineers, improves internal processes, and collaborates with stakeholders on data initiatives.

The role involves designing scalable data platforms, collaborating with hardware engineers, defining standards, and ensuring effective data processing and analytics.

Lead the design and delivery of data solutions using Azure and Databricks. Champion data architecture, collaborate with teams, and engage with clients across all levels.

The Market Data Recording Lead will develop tools for managing and ensuring the quality of vast amounts of market data, identifying quality issues in real-time, guiding best practices for recording stacks, and debugging processes across languages like Python and C++. They will lead a dedicated team to improve data management strategies.

As a Senior Data Engineer, you will develop and maintain scalable data pipelines, enhance data models, and provide expertise in data acquisition and consumption using Azure and related technologies.