Top Data Engineer Jobs

Design and manage a modular data layer architecture for scalable data ingestion and transformation. Develop ETL pipelines, implement metadata management, enforce data access policies, and report on performance and optimization.

As a Data Services Engineer, you will support clients by developing data products and solutions, manage projects, and collaborate across departments.

Design and maintain data platforms for DHS, focusing on migrating from Elasticsearch to relational databases, optimizing performance, and ensuring data quality.

The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.

The Staff Data Engineer will design and implement data architectures, manage partner integrations, build scalable data solutions, and mentor team members, ensuring efficient data operations and collaboration across teams.

Lead the design and implementation of scalable data architecture and engineering solutions, manage partner integration, mentor engineers, and ensure best practices in data systems.

The Senior Data Engineer designs, develops, and maintains ETL pipelines and database systems while ensuring data security and compliance with HIPAA. Responsibilities include SQL development, data integration, reporting, and collaborating with teams to support data needs.

The Senior Data Engineer at BeyondTrust designs and manages data infrastructure, creates ETL pipelines, and optimizes database performance while ensuring data governance.

The Sr. Data Engineer will develop data pipelines, automate data processing, collaborate in Agile teams, and ensure data extraction reliability while adhering to engineering principles.

The Sr. Data Engineer will manage data pipelines, develop ETL processes, support continuous automation, ensure data reliability, and work collaboratively in Agile teams to meet client needs.

The Sr Data Engineer will transform and analyze enterprise datasets, build data pipelines, collaborate on models, and present findings to stakeholders.

As a Senior Data Engineer at Nimble, you will own the data platform, build and optimize data pipelines, ensure data compliance, and mentor team members, while collaborating across departments to enhance data accessibility and usage.

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

The Senior Data Engineer will design and implement data processing pipelines using Java and Spark, optimize performance, and mentor junior engineers while ensuring compliance with data governance standards.

The role involves designing and maintaining data infrastructure, developing data pipelines, using IaaC with Terraform, and collaborating across departments to support data needs for the City of San Francisco.

As a Staff Data Engineer, you'll design and manage telemetry data ingestion systems, ensuring high throughput and low latency while applying robust engineering practices to maintain data quality and operational excellence.

The Senior Data Engineer designs and optimizes data pipelines for marketing analytics, ensuring data accuracy and collaborating with teams to meet reporting needs.

As a Senior Data Engineer, you'll design and maintain scalable data pipelines, optimize workflows with dbt and Snowflake, and mentor teams across functions to enhance data reliability and performance.

The Senior Data Developer Tech Lead will design and manage scalable data solutions within Hadoop, lead streaming data architecture, optimize performance, and integrate AI/ML capabilities, while coaching team members and ensuring best practices in the banking domain.

Lead the design and implementation of Hadoop architecture and real-time data solutions. Coach team members, optimize performance, and ensure data governance within a small agile squad, focusing on AI/ML capabilities.

As a Senior Data Engineer, you'll design and implement ETL/ELT pipelines, write Python code for data processing, and optimize SQL models. You'll collaborate with teams and improve data architectures to support AI and marketplace strategies.

The Senior Data Engineer will design and implement data engineering solutions, maintain data pipelines, and ensure data security and governance practices while collaborating with teams to meet business requirements.

Design and implement scalable data pipelines, support data ingestion and quality, collaborate on data models, and maintain data exports, contributing to technology improvements.

The Senior Data Engineer will own the data pipelines, platform architecture, and data modeling for a cloud data warehouse, ensuring data integrity and usability for business functions like Finance and HR.

The Lead Data Engineer will develop and maintain ETL/ELT pipelines, optimize data storage, ensure compliance in a GxP environment, and collaborate with data teams.