Top Data Engineer Jobs in San Francisco Bay Area

The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data, defining data architecture roadmap, ensuring alignment with business requirements and data policies, and choosing toolsets for data storage facilities. Responsibilities include working closely with business stakeholders and other data teams to deliver secure, available, and accurate data solutions.

As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving foundational Data services for AI and ML solutions. You will collaborate with AI Product Managers, engineers, and BUs to research, troubleshoot, and resolve data requests. The role requires a deep understanding of the NOW platform and the ability to address issues effectively and timely.

As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will collaborate with AI Product Managers and engineers, troubleshoot data requests and issues, and ensure excellent support to the business units.

GoodRx is hiring a Principal Data Engineer to lead the design and development of enhanced data pipeline services, collaborate with teams to build data pipelines, mentor team members, and architect cloud-based data infrastructure solutions.

GoodRx is seeking a Principal Data Engineer with extensive experience in data engineering on distributed frameworks and cloud technologies. The role involves leading the design and development of enhanced data pipeline services, collaborating with cross-functional teams, and architecting cloud-based data infrastructure solutions.

As a Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data-driven decision-making, enhance customer experiences, and optimize marketing campaigns.

Seeking a Senior Applied Scientist to improve targeting and optimization products by applying machine learning models and collaborating with cross-functional teams. Must have hands-on experience in ML and data products, an MS or PhD in a quantitative discipline, and expertise in data science topics.

The Senior BI Engineer will be responsible for designing and building scalable BI platforms and customizable business-ready datasets. They will empower teams to make data-driven decisions and improve products and services. The engineer should have a deep understanding of big data and experience in creating semantic layers and self-service BI analytics.

The Data Architect will be responsible for developing a cohesive data architecture that supports the organization's long-term vision. They will collaborate with internal departments to define the strategic data architecture vision, establish guidelines and processes, implement security measures, oversee data migration processes, and drive continuous data transformation. The Data Architect will also provide thought leadership, conduct architectural reviews, and communicate the data architectural direction to executives.

Looking for a Senior UI Engineer to build the nextgen data visualization framework, collaborate with product design and UI engineering, and work with large amounts of data and chart visualizations.