Top Hybrid Data Engineering Jobs

The Senior Data Engineer will design and build data pipelines for usage and revenue reporting, manage Snowflake as the enterprise data warehouse, and collaborate with Finance to ensure data accuracy and quality.

As an Analytics Engineer at Retool, you'll build and maintain ETL pipelines, design analytics architecture, support data governance, and develop dashboards to empower stakeholders while enhancing their data-driven culture.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Analytics Engineer will build and optimize data systems, analyze catalog performance, and collaborate across teams to enhance decision-making processes.

The Manager of Technology Strategy will implement data solutions, analyze datasets, and engage with clients to drive business decisions by leveraging data analytics and engineering.

Lead the design, delivery, and improvement of data infrastructure, ensuring operational excellence and empowering data teams with secure, self-service platforms.

Join a 3-month immersive program to work on automation and data engineering projects, with mentorship and potential for a full-time role.

Lead a team of data scientists to solve complex problems in finance using AI and ML. Drive innovative analytical frameworks and mentor staff.

The Data Engineer will build and optimize data pipelines and infrastructure, ensuring data quality for analytics and machine learning initiatives while collaborating with teams to develop data solutions.