Top Senior Level Data Engineer Jobs in San Francisco Bay Area

Responsible for defining and driving data governance within the Finance organization. Partnering with leaders and process owners to implement data policies and standards. Developing strategies to ensure data accuracy and quality through automation and maintenance of data dictionary.

Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team to build and implement cutting-edge AI/ML solutions for enterprise customers globally. Responsible for data acquisition, evaluation metrics, and driving software quality and performance at scale.

As a Senior Data Engineer at Calm, you will work with various data sources to help stakeholders create products and answer business questions. Responsibilities include working with business stakeholders, standardizing data approaches, evangelizing data-driven decision making, ensuring data quality, collaborating on data models, and mentoring data engineers. Past projects include setting up reporting systems, creating user-level feature stores, remodeling critical data pipelines, and integrating data warehouse with third-party applications. Ideal candidates have proficiency in SQL, experience with data pipelines and modeling, and the ability to translate business requirements into technical solutions.

The Software Engineer, Machine Learning will collaborate across machine learning, platform, and product engineering teams to develop scalable solutions using data and machine learning engineering. Responsibilities include training models, contributing to various serving stacks, building ML infrastructure, developing communication devices, and advancing technical approaches to scalable machine learning.