Data Engineer Jobs in San Jose, CA

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

The role involves designing, optimizing, and extending data pipelines and infrastructure to support healthcare analytics, ensuring compliance and data quality.

The Senior Staff Engineer will architect and build a Data Lakehouse platform, optimize Spark jobs, and mentor the engineering community at GEICO.

The Software Engineer will design and build large-scale data platforms, optimize data processing systems, and improve machine learning infrastructure for AI research.

Build and maintain foundational datasets for data-driven decision-making, creating scalable data pipelines and collaborating across teams to enhance data models and practices.

The Staff Data Engineer will lead efforts in data warehousing, pipeline optimization, product analytics systems, and data quality improvement to support business growth.

The role involves designing and implementing cloud data infrastructure, building data pipelines, and developing dashboards for insights from connected vehicle data.

As a Senior Backend Developer, you will build IoT infrastructure, core cloud systems, and collaborate on API design while ensuring security and reliability for connected electric vehicles.

The Data Visualization Engineer designs user-centric dashboards and reporting interfaces, collaborates with stakeholders for requirements, and ensures optimal performance and visual consistency in BI tools.

Analyze user behavior to identify fraud patterns, utilize data mining, link analysis, and collaborate with stakeholders to communicate findings.

The Staff Data Platform Engineer will design and develop scalable data systems, drive data platform strategy, lead ETL workflows, and mentor teams to enhance data capabilities for machine learning and autonomy.

Design and implement data processing pipelines and systems for aircraft automation, collaborating with teams to enhance data services and governance.

Design and develop scalable software features for Prisma Access, troubleshoot issues, and work collaboratively across teams. Requires strong experience in cloud services and big data technology.

The Staff Software Engineer will develop and optimize financial data reconciliation systems, implement scalable solutions, and collaborate with cross-functional teams to ensure data integrity and compliance.

The role involves contributing to distributed data systems, managing real-time and batch data processing pipelines, and enhancing internal processes and products.

Responsible for designing, building, and maintaining data pipelines and applications to support financial reporting. Collaborate with cross-functional teams to optimize data systems and enhance blockchain reporting infrastructure.

The role involves building data processing systems, managing workloads in cloud clusters, and preparing datasets for AI training.

As a Software Engineer in Data Acquisition and Web Crawling, you'll design large-scale systems for processing data and manage cloud computing workloads.

As a Data Science Engineer at Adobe, you will analyze data, develop machine learning models, and provide insights to drive business decisions in the B2B segment. Responsibilities include enhancing M/L models, implementing dashboards, and discovering opportunities for growth.

Contribute to the development of streaming data frameworks, build data pipelines, and monitor data ingestion for TigerGraph's graph database.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

The Lead Data Systems Engineer will optimize data-driven manufacturing processes, develop full-stack applications, implement automation scripts, and collaborate with engineering teams.

Build next generation distributed data storage and processing systems, including projects like Apache Spark and Delta Lake, while focusing on customer value and handling complex data engineering pipelines.

As a Senior Software Engineer at Databricks, you will design and build advanced distributed data storage and processing systems focusing on optimizing performance and supporting various data workloads.

Design and build robust data pipelines for real-time analytics and support robotic systems, ensuring data quality and reliability.