Top Hybrid Data Engineer Jobs

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.

The Data Engineer will join a data modeling team focusing on creating well-architected Data Cloud models for various industries. Responsibilities include designing, developing, and testing data models for analytical applications, collaborating with product teams, and improving data modeling practices. The role requires hands-on experience in data modeling and design.

As a Machine Learning Engineer, you will develop and deploy machine learning models to tackle complex business problems. Responsibilities include collaborating with cross-functional teams, analyzing data, optimizing models, and ensuring production-quality deployments while staying updated on machine learning advancements.

In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.

The Senior Consultant leads clients through transformational data and analytics strategies, collaborates with leaders to address business challenges, and contributes to consulting practice enhancement while managing teams on analytics initiatives.

As a Data and Analytics Senior Consultant, you will lead transformational change by designing and executing data and analytics strategies, collaborating with customers to address business challenges, and contributing to the growth of the consulting practice through exceptional service and business development.