Top Senior Level Data Engineer Jobs

The Senior Big Data Engineer will lead the modernization of Master Data Management systems, designing and building data solutions across various platforms. Responsibilities include collaborating with cross-functional teams to implement data engineering services, maintaining data quality, and optimizing cloud and big data environments for operational and analytic applications.

The Cloud Data Architect provides technical leadership in cloud computing and automation, focusing on system and service design on cloud platforms. Key responsibilities include developing enterprise data architecture, implementing cloud-based analytical platforms, and supporting data delivery teams. The role ensures critical applications are optimized for business needs and high availability, while maintaining cloud governance and driving best practices.

As a Principal Data Engineer at Lovelytics, you will design and implement data pipelines using Databricks, architect data lakes and warehouses, and ensure project milestones are met. You will also lead technical engagements, translate business requirements into solutions, and collaborate with teams to optimize data governance and security.

As an Engineering Systems Analyst, you will support the Windchill PLM infrastructure, manage engineering applications, consult with cross-functional teams, train users, and enhance systems related to PLM and CAD. You will also drive best practices and address product usage issues.

The Database Engineer 2 will provide technical expertise in database design and development for government clients. Responsibilities include developing relational and object-oriented databases, supporting data flow and analysis, and creating ad hoc queries and scripts. Key focus areas include database architecture that aligns with system requirements and ensuring database optimization and maintenance throughout the project lifecycle.

The Senior Data Engineer will design, build, and maintain ETL pipelines to manage data operations efficiently. Responsibilities include ensuring secure data handling, leveraging cloud systems, and using tools such as SQL, Python, and Spark, while collaborating in an agile environment to meet business requirements.

As a Lead Data Engineer at Nuna, you will help build scalable data engineering solutions and expand the architecture of a Data Platform. You will work closely with interdisciplinary teams to enhance workflows and improve healthcare products, while also establishing best practices in data engineering and mentorship.