Top Data Engineer Jobs

As a Data Engineer, you will design, build, and maintain data infrastructure for a clinical data registry, optimizing data pipelines and analytics for healthcare advancements.

Lead the design and development of scalable data pipelines for geospatial and enterprise data, optimizing for machine learning applications and collaborating across teams.

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.

As a Data Engineer, you'll manage the data lifecycle, improve data processing efficiency, develop architectures, and collaborate on data solutions for Govini's platform.

The Senior Lead Data Engineer will lead a team to develop cloud-based data solutions, collaborate across Agile teams, and mentor other engineers.

The role involves designing and building platforms for new products, developing AI features, ensuring system reliability, and fostering an inclusive culture. Requires full-stack experience and a commitment to improving healthcare.

Data Engineer needed to build and optimize data architectures, focusing on data pipelines, frameworks, and real-time analytics. Responsibilities include building a data warehouse, event stream platforms, and ensuring top security and performance.

As a Data Engineer, you will develop and maintain data pipelines, integrations, and frameworks, enabling data-driven decisions and insightful analytics for operations and customers.

The Data Engineer will design and maintain data pipelines, optimize storage solutions, and collaborate with teams for data processing and analytics.

The Sr Azure Data Engineer will gather data requirements, write complex SQL queries, manage data pipelines in Azure, and implement data solutions using Databricks while optimizing workflows and ensuring data governance.

Manage data warehouse and pipelines, administer OLTP database, utilize ETL solutions, and communicate effectively with teams and clients.

The Sr. Data Engineer will perform data engineering on Hadoop and Greenplum, manage large datasets, utilize Big Data tools, and ensure compliance with IT security and architecture.

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 Principal Data Engineer will design data pipelines, lead architecture initiatives, and implement data solutions utilizing Databricks while collaborating with clients and stakeholders.

The Data Engineer will architect and maintain scalable data pipelines, enhance data quality, and implement innovative data solutions using Python and SQL. Collaboration with IT and business teams is crucial to maximize data resources, while applying software engineering best practices is necessary to improve code quality and efficiency.

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.