Top Remote Data Engineer Jobs in San Luis Obispo, CA
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data, defining and maintaining the data architecture roadmap, ensuring data solutions align with business requirements, and choosing toolsets for data storage facilities within budget. Must have at least 15 years of experience, with a minimum of 3 years in data systems AI and ML. Responsibilities include leading cross-functional teams and translating business requirements into data models.
The Principal Data Architect is responsible 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 appropriate toolsets. They collaborate with stakeholders to deliver secure, available, and accurate data solutions.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and solve technical challenges at scale. Mentor and support fellow engineers for growth in development capabilities.
Seeking an experienced engineer to join Machine Learning Foundations team to build self-service tooling for the model lifecycle and work on the entire machine learning lifecycle. Responsibilities include designing and building tools, collaborating with data science and engineering teams, leading architectural discussions, mentoring teammates, and participating in an oncall rotation. Qualifications include 8+ years of software engineering and machine learning engineering experience, strong technical judgment, and experience with large-scale distributed systems.
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The data specialist is responsible for working alongside the devops, data science and support teams to develop and implement data workflows, manage databases, and provide data-related support to clients. The role involves building complex analyses and reports, requiring proficiency in SQL and experience with Agile teams.
Join Restaurant365 as a Senior Data Engineer and lead the execution of the enterprise data lake, data warehouse, and analytic solutions. Partner with business and technical stakeholders to design, build, and monitor data pipelines and transformations, and ensure data quality and integrity.
The Global Clinical Data Standards Vocabulary Specialist is an expert in CDISC Controlled Terminology, applying terminology to data collection, and ensuring compliance with regulations. Responsibilities include promoting teamwork, leading data standards forums, and staying updated on industry standards and guidelines.
The Global Clinical Data Standards Vocabulary Specialist is a subject matter expert in CDISC Controlled Terminology, responsible for managing and applying clinical data interchange standards. They lead internal forums, participate in standards development, and stay updated on industry regulations.
The Global Clinical Data Standards Vocabulary Specialist is a subject matter expert in CDISC Controlled Terminology and plays a key role in applying terminology and reference data to data collection specifications. Responsibilities include leading internal forums, participating in standards development teams, and staying current with industry standards and regulations. The role requires 5+ years of experience in clinical research, with emphasis on data standards management.
The Business Intelligence Engineer will collaborate with business stakeholders to understand reporting needs and translate them into functional requirements. They will design, develop, and maintain BI reports, dashboards, and data visualizations using BI tools. Strong SQL skills and experience with cloud platforms are required.
Design, architect, and maintain core marketing datasets, and collaborate on building a vision for data integration in marketing at Thumbtack. Help set data architecture and mentor engineers in a collaborative culture. Drive data quality and best practices across marketing areas.
Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.
Zeta Global is seeking a Solutions Consultant to join their Data Cloud division. The role involves supporting new business development, client meetings, analyzing data sets, and project management of Data Cloud deliverables.
Seeking a Solutions Consultant to drive new business development using Zeta's proprietary data assets. Responsibilities include client support, platform demos, data analysis, and project management of deliverables. Ideal candidate has 3+ years of experience in pre-sales, strong understanding of data-driven marketing, and client-facing expertise with executive level stakeholders.
Seeking a Solutions Consultant to join the Data Cloud division at Zeta Global. Responsibilities include supporting new and existing client meetings, analyzing data sets, and managing Data Cloud deliverables. Ideal candidate has 3+ years of pre-sales experience in digital marketing or SaaS, along with client-facing experience with executives.
Seeking a Staff Data Engineer to build data pipelines and applications using emerging technologies like generative AI and large language models. Responsibilities include designing, building, and scaling data pipelines, collaborating with internal stakeholders, and supporting APIs and machine learning services.
Top remote Companies in San Luis Obispo, CA Hiring Data + Analytics Roles
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