Top Staff Data Engineer Jobs

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.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

The Staff Data Engineer will develop scalable data infrastructure, mentor engineers, and collaborate on impactful data solutions to support the Bible App's growth.

The Senior Staff Data Engineer is responsible for enhancing data assets on Snowflake, implementing data integrations, and leading teams in delivering data solutions with a focus on ETL processes.

The Staff Data Engineer will lead projects, mentor engineers, enhance data processes, and collaborate with teams to improve data infrastructure.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The Staff Engineer will design and maintain data products, lead projects, mentor engineers, and optimize data pipelines while collaborating across teams using Agile practices.

The Staff Data Engineer will build and optimize data pipelines, influence architectural decisions, and support data governance for claims data management. They will work with cloud platforms and big data technologies to ensure high-quality data products.

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

The Sr Staff Data Engineer will build and scale data assets on Snowflake and AWS, focusing on data pipeline optimization, AI tools application, and data governance.

The role involves overseeing data engineering activities, improving data governance processes, and mentoring teams while architecting scalable data platforms and solutions.

The Staff Data Engineer will design and maintain data infrastructure using Azure and Databricks, optimize data workflows, ensure data quality, and collaborate with teams for data-driven decisions.

As a Staff Engineer, you will lead the development of data migration tools, collaborating with teams to design scalable solutions and mentor engineers while driving technical excellence and innovation.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Lead data platform architecture and delivery for healthcare-focused Lakehouse/Warehouse solutions. Drive Databricks/AWS design, governance, security (PHI/PII), ETL/Delta Live Tables, APIs, modeling (FHIR/OMOP), IaC (Terraform), pipeline performance, and cross-functional collaboration to deliver scalable, production-grade data products.

The Staff Data Engineer manages data engineering processes, designs ETL jobs, ensures data quality, collaborates on infrastructure, and leads data architecture implementation.

The Director, Staff Data Engineer is responsible for overseeing data engineering activities, building data pipelines and systems, and ensuring data governance and engineering standards. This includes mentoring team members and leading technical challenges.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

The Staff Data Engineer will develop cloud-native data platforms, lead technical strategy, optimize pipelines, ensure data quality, and mentor engineers.

As a Staff Data Platform Engineer, you will oversee the strategy, architecture, and operation of data and AI platforms, mentor teams, and resolve complex challenges using advanced data solutions.

The Staff, Data Center Augmentation Engineer will lead engineering efforts to upgrade data center infrastructure for AI workloads, focusing on power and cooling enhancements and managing complex retrofits.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

The Staff Data Engineer will design and implement frameworks and systems for AI solutions, focusing on data pipelines, deployment automation, and MLOps practices. Responsibilities include deploying ML models, building CI/CD pipelines, and mentoring junior engineers.

The Staff Data Engineer/Scientist will lead teams in developing AI/ML algorithms, implement ETL pipelines, and optimize data processing. Responsibilities include mentoring staff and improving processes to enhance scalability and efficiency.

As a Senior Staff Engineer, Data, you'll lead the design and implementation of FloQast's core data platform, ensuring scalability and reliability. You'll define standards for data ingestion and governance while collaborating with multiple teams and mentoring engineers.