Top Staff Data Engineer Jobs

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

As a Data Platform Engineer, you will build and maintain self-service platforms for data processing and analytics using cloud technologies and automation tools.

As Staff Engineer, you will lead a data engineering team, architect data pipelines, mentor engineers, and optimize performance while ensuring system reliability and adherence to standards.

Lead the Data Engineering team at Docker, architecting scalable data infrastructures and systems. Mentor engineers, collaborate with cross-functional teams, and ensure data reliability and performance while driving technical strategy and best practices.

The Staff Data Platform Engineer will lead the design and scaling of data storage systems and caching solutions to petabyte capacity, improving data access and reliability for mission-critical applications.

The Data Platform Engineer leads the architecture of large-scale systems, developing scalable microservices and APIs, ensuring data quality, and mentoring engineers.

Design and develop scalable data processing systems and pipelines, create storage solutions, and ensure data integrity through testing and monitoring.

Design and develop scalable data pipelines and storage systems for machine learning evaluation, and create tools for data annotation and monitoring.

The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.

Design, develop, deploy and maintain Spotfire dashboards and visual analytics. Translate business requirements into visualizations and user stories, collaborate with cross-functional teams in Agile processes, perform data mapping and modeling, and provide daily dashboard support and administration.

Design and enhance large-scale data pipelines for machine learning teams, ensuring high-quality dataset delivery and facilitating new model deployments.

As a Senior/Staff Software Engineer, you will scale data infrastructure, design systems, mentor engineers, and improve data usage across teams.

Lead architecture and implementation of scalable ML data pipelines and tooling to turn autonomy data into training datasets. Build data selection, active learning, inference-at-scale, vector DB management, labeling integration, QC automation, and introspection tools while partnering with ML researchers and infra teams.

As a Staff Software Engineer on the Data Platform team, you'll architect and develop cloud-native SaaS services, lead distributed systems design, and mentor engineering teams to drive innovative data solutions.

Design, build, and operate a scalable, resilient Data Lakehouse. Lead architecture, evaluate open-source tooling, ensure performance and usability, mentor engineers, collaborate across teams, and drive DevOps and cloud best practices.

The Data Engineer Consultant will develop scalable data infrastructure, optimize SQL queries, design dimensional models, create visual dashboards, and collaborate with clients to meet data needs.

The Staff Data Platform Engineer will design and build cloud services for AI applications, lead distributed systems implementations, and improve operational metrics, all while mentoring a growing engineering team.

As a Staff Software Engineer, you will design and implement high-volume ETL pipelines, optimize streaming performance, and mentor the engineering team, ensuring robust data infrastructure.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

Seeking a Data Engineer to design, build, and maintain data pipelines using Python, AWS, Databricks, and SQL, ensuring data reliability.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

Lead the design and development of scalable data solutions and architectures, collaborating with cross-functional teams and mentoring junior members.