Data Engineer Jobs in Oakland, CA

The Staff Data Engineer will develop and maintain data processing pipelines, support marketing operations, and mentor junior engineers while ensuring data quality and accessibility.

As a Data Infrastructure Engineer, you will design and maintain scalable data platforms for R&D and applied ML workloads, collaborating with teams to optimize systems and improve data quality.

As a Staff Software Engineer, you'll lead the architecture and implementation of core systems and data platforms, ensuring adaptability and planning technical strategies.

Design, build, and maintain ETL/ELT pipelines and cloud data infrastructure, ensuring data integrity and collaborating with data teams on analytics and ML use cases.

Network Engineers needed to label and structure data for autonomous systems by reviewing real-world data and defining schemas for data pipelines.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Design, build, and maintain data pipelines while ensuring data quality and collaboration with data teams. Troubleshoot issues and improve performance.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

The Staff Data Engineer leads the design and implementation of data ingestion and modeling layers, optimizing data pipelines and mentoring a small team to deliver analytics-ready datasets.

As a Senior Data Engineer, you will lead projects, design and maintain scalable data architectures using cloud technologies, and collaborate with stakeholders to enhance data solutions and business intelligence capabilities.

Design and develop backend services, APIs, and frameworks for Unity's data platform, mentor engineers, and drive architectural decisions.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

As an Intermediate Python Developer, you'll build SDKs and APIs, automate data workflows, and develop ETL/ELT pipelines to enhance customer onboarding and experience.

As a Staff Software Data Engineer, you'll design and manage scalable reconciliation systems, ensure data integrity, integrate with financial systems, and mentor junior engineers.

The Staff DataOps Engineer applies DevOps principles to data platforms, automating pipelines, leading initiatives to improve data system reliability and scalability, and mentoring teams.

Design and improve data pipelines, maintain data flows, apply ML techniques for data curation, and collaborate across teams.

The Network Engineer will label, annotate, and structure data from networks, supporting the development of AI-driven infrastructure solutions.

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

Lead the architecture and scaling of core API infrastructure, developing APIs for internal and external users while optimizing for performance and reliability. Mentor team members and ensure engineering excellence in a fast-paced, high-output environment.

Join Numeral as a Data Software Engineer to design and scale data systems, pipelines, and infrastructure while collaborating with cross-functional teams.

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.

Lead the architecture and execution of AI and data platform, mentoring engineers and driving technical excellence in ML infrastructure.

As a Principal Engineer, you will lead the Data Infra team in building scalable data processing systems for millions of users while ensuring compliance with data regulations.