Top Data Engineer Jobs

Lead the implementation and integration of a Data Catalog solution, ensuring data governance, metadata management, and compliance across the organization.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

The Contractor will design and maintain data infrastructure, optimizing data pipelines and implementing best practices for data quality and reliability. Responsibilities include developing API integrations, ETL processes, and documentation, collaborating with stakeholders to translate requirements into technical solutions.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.

Senior Data Engineer responsible for designing and implementing data solutions, ensuring data quality, and optimizing data systems.

The job description is currently labeled as TBD and does not provide specific responsibilities or details.

Design and implement SQL transformations and datasets, manage data models in Databricks, optimize performance, and ensure compliance with data governance standards.

As a Senior Data Engineer at Polymarket, you'll scale the data platform, manage analytics and serving layers, and ensure data correctness across teams.

Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring data integrity and supporting analytics for a nonprofit organization.