Top Data Engineer Jobs

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.

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 Senior Data Engineer will build and maintain data products and integrations, ensure data privacy, support fundraising CRM migration, and mentor engineers.

The Data Conversion Engineer will manage data migration processes from legacy systems to a modern platform, developing ETL processes and ensuring data quality and reliability.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

As a Data Analytics Platform Engineer, you'll design data pipelines, manage analytics platforms, and leverage technologies for impactful data solutions across various missions in cybersecurity and data analysis.

The Data Analytics Platform Engineer will design, build, and maintain data pipelines and scalable platforms, leveraging technologies to derive insights from gathered data for various mission-driven projects.

The Senior Data Engineer will construct and optimize data pipelines, work with cross-functional teams, ensure data quality and governance, and mentor junior engineers while leading advanced analytics initiatives.

The Staff Data Platform Engineer will develop integrations and data pipelines across multiple enterprise systems, ensure data quality, and support executive analytics and AI capabilities.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.

As a Senior Data Engineer at Orita, you'll design and build scalable data pipelines, unify data processes, and enhance our data infrastructure to support machine learning models, ensuring data quality and security throughout the lifecycle.

As a Senior Data Engineer, you will build scalable data pipelines, analyze data, mentor junior members, and ensure data quality.

As a Data/Analytics Engineer, you will lead data architecture projects, ensure data quality, implement analytics algorithms, and integrate third-party data systems.

As a Data Engineer, you will design, build, and manage data pipelines, improve data architecture, ensure accuracy, and collaborate with various teams.

The Senior IT Big Data Developer will design and optimize data architectures, develop ETL/ELT pipelines, support data integration, and ensure compliance with data governance standards.

The Data Engineer will develop and maintain ETL/ELT data pipelines and infrastructure for analytics, reporting, and AI applications, ensuring data quality and performance optimization.

Design and optimize scalable data pipelines and models at Fabletics, collaborating with teams to enhance data accessibility and performance for business insights.

The Senior Data Infrastructure Engineer will design, build, and operate data systems for Decagon's AI products, managing data pipelines and optimizing performance while ensuring high availability and low latency.

The Senior Data Infrastructure Engineer will design, build, and operate Decagon's data systems, optimizing pipelines and infrastructure, collaborating with teams to enhance performance and reliability of data solutions.

The role involves developing and integrating cloud-native data services and APIs, supporting data transformation, and maintaining backend services using AWS technologies.