Top Remote Senior Level Data Engineer Jobs

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

The Senior Database Engineer will design, implement, and optimize cloud-based Oracle databases to support enterprise risk management software. Responsibilities include overseeing database architecture, performance monitoring, and administration, as well as mentoring junior team members and ensuring operational seamlessness.

Seeking a CDP Data Engineer with expertise in Adobe Experience Platform Real-Time CDP to extract, transform, and load data for unified customer profiles. Responsibilities include platform expertise, data extraction, transformation, and loading, query writing, and more. Requires 5+ years of experience in data pipeline architecture.

As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

Lead the data engineering team at The Walt Disney Company, developing and maintaining data architecture. Oversee scalable data models and warehouses, streamline workflows, and implement data transformation pipelines. Collaborate across the organization for data-driven decision-making while leading a high-performing team.

The Principal Data Management role involves designing, developing, and implementing a long-term enterprise data management and governance program. The position requires collaboration with internal stakeholders and external vendors to enhance data stewardship, manage metadata, and ensure compliance with data retention policies.