Top Hybrid Data Engineering Jobs

The Sr. Analyst will develop data pipelines, collaborate across teams, design reporting solutions, conduct data analysis, and maintain data quality to drive business outcomes.

The role involves leading teams to develop AI solutions addressing sustainability challenges, managing client accounts, and upholding ethical standards in technology integration.

As a Staff Analytics Engineer, you'll lead the creation and maintenance of analytics solutions, developing data models and driving insights for decision-making across Zocdoc.

The Data Engineer II will design data models, build ETL pipelines, collaborate with teams, and ensure data flows are efficient and well-monitored. A strong understanding of SQL, Python, and cloud technology is essential.

As a Part-Time Student - Data and Analytics, assist with database management, data integrity, data science techniques, and automation of data tasks while learning about analytics products and reporting.

Design and develop data models and pipelines, optimize data systems, collaborate with teams, enforce data governance, requiring 5-7 years of data engineering experience.

The Data Engineer will support data initiatives, build data pipelines, perform statistical analyses, and develop BI dashboards to drive business decisions.

The role involves managing a team of data scientists to create generative AI solutions and build machine learning models using large datasets, while collaborating with cross-functional teams.

Lead design and engineering of an enterprise graph database platform for fraud and claims. Build graph data models, large-scale pipelines, optimize hybrid/cloud platforms, improve data governance, and consult cross-functionally to resolve high-risk data engineering challenges.

As a Data Migration Engineer, you'll convert client banking data to the Q2 platform, troubleshoot issues, and manage multiple migration projects.