Top Hybrid Data Engineer Jobs

The IT Data/Business Analysis Sr Specialist at CNA will analyze data, create reports, and lead project teams to address business needs. Responsibilities include formulating systems scope, managing project resources, and collaborating with stakeholders to define deliverables. A strong understanding of the insurance industry and data analytics is crucial.

As a Consultant on the Data Integration team, you will implement StrataJazz® for large health systems, communicate integration specifications, solve complex problems using SQL and Excel, and lead client training. You'll also collaborate with technical teams and contribute to strategic growth projects in a hybrid work environment.

As a Data Engineer, you will build and optimize production-grade data solutions on AWS or GCP, develop scalable ETL pipelines, and manage data storage and transformation routines. You will work closely with the Machine Learning and Data Platform team and engage with both technical and business stakeholders.

The Data Engineer III will manage and optimize data pipelines, perform data transformations, support data source identification, and develop data models. The role involves writing and testing code, collaborating with business stakeholders for complex solutions, and contributing to data governance initiatives.

As a Computer Vision Engineer, you will design, train, and deploy AI models, focusing on computer vision algorithms for retail applications. Collaborate with technology groups to enhance customer experiences, ensure model robustness, and contribute to software development. Candidates should have experience in machine learning and relevant programming languages.

The Principal Data Engineer will design and implement data pipelines and ETL processes, develop data infrastructure using open-source technologies, collaborate with data scientists to build machine learning models, ensure data quality and governance, and mentor junior engineers. This role plays a pivotal role in driving innovation in data-driven decision making.

The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.

The Lead Data Engineer will develop and optimize data infrastructure, build and maintain ETL pipelines, manage data warehouses, and collaborate with Data Science teams to support ML model deployment. The role emphasizes data integrity and the performance of data systems.

Seeking a Mainframe Data Engineer to deliver business solutions and projects to the data store team. Responsible for mainframe Database Administration, implementation, maintenance, and data scrambling of Adabas and VSAM within a mainframe environment. Requires 3+ years of experience supporting mainframe data platform on z/OS mainframe operating system.

The Principal Data Engineer will lead code development and manage data engineering solutions utilizing Python and SQL. Responsibilities include developing scalable applications on cloud platforms (AWS/GCP), maintaining databases, implementing search technologies, ensuring adherence to security practices, and training users while collaborating closely with cross-functional teams.

In this role, you will analyze and interpret data to create engaging narratives for media and clients. Responsibilities include producing data-driven articles, managing social media content, collaborating with data scientists, and generating story ideas that align with the company's business priorities.