Top Remote Data Engineer Jobs in San Francisco Bay Area, CA
Seeking a highly skilled and motivated Big Data Engineer to join the data engineering organization at Basis Technologies. Responsibilities include integrating data sources, automating ETL deployment tasks, designing scalable data pipelines, and monitoring pipeline performance.
Looking for a Senior Applied Scientist to improve targeting and optimization products by building production-level ML and data products, using machine learning models, and communicating effectively with various teams.
Seeking a collaborative Senior Data Engineer with strong experience in data modeling, SQL, Python, DBT, and Snowflake. Responsibilities include mentoring junior data engineers, building data transformations, and optimizing ETL jobs for processing large amounts of data. Must have 6+ years of experience in data engineering, a Bachelor’s degree in computer science, and proficiency in cloud native infrastructure (Azure), Docker, and object-oriented programming.
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Prominence is seeking a Data Architect/Cloud Data Architect with expertise in SQL and cloud technologies to build and deploy analytics solutions for healthcare providers. The ideal candidate must demonstrate the ability to tackle new technical challenges and design scalable data models at both data and architectural levels.
Join Prominence as a Data Visualization Consultant in healthcare technology strategy and implementation. Design and develop analytics applications in BI platforms like Tableau, QlikSense, Qlik View, and PowerBI. Work closely with healthcare customers to understand visualization requirements and provide best practice recommendations. Troubleshoot technical visualization build issues and refine visualization best practices. Full-time position with benefits and no relocation required.
Prominence is seeking a Data Engineer with 5+ years of experience to assist with dimensional data modeling development for a healthcare data architecture project. Responsibilities include implementing and optimizing EMR workflows, mentoring customers, translating business requirements into system configuration, and leading project coordination. Desired qualifications include active certification in Cogito Data Model, Caboodle Developer, and 5+ years of experience as an Epic BI Developer or Data Engineer.
Partner with stakeholders to translate business problems into actionable machine learning solutions, develop data pipelines, write clean, production-ready code, design and conduct experiments to evaluate models' performance
Lead strategic execution around ML systems, training infrastructure, and deploying large models in the AI Foundations organization at Cruise. Collaborate with ML teams, define execution processes, analyze modeling results, and own technical projects from start to finish.
Lead the implementation of Master Data Management solutions using Oracle technologies. Collaborate with teams to address various business requirements and drive success through data and analytics. Provide thought leadership and guidance in MDM implementations across different sectors.
Lead Oracle Master Data Management Director role at PwC, overseeing the implementation of MDM solutions across sectors like finance, supply chain, marketing, and operations. Responsibilities include leading technical and functional teams, implementing data quality rules, and utilizing agile methodologies. Collaborate with clients to drive profitable growth, reduce operational costs, and empower employees through data and analytics strategies.
As a Senior Business Intelligence Engineer at Cash App, you will be responsible for creating and optimizing data models, standardizing metrics, building data pipelines, and promoting best practices in data and analytics. You will work with a data-driven team to analyze large datasets and drive impactful business decisions.
Senior BI Engineer role at Cash App working on data architecture, modeling, and ETLs for impactful business decisions. Collaborate with cross-functional teams to analyze large datasets and drive product development through data insights.
The Senior Business Intelligence Engineer at Cash App will be responsible for creating and optimizing data models, standardizing metrics, building data pipelines, and promoting best practices in data and analytics. The role requires at least 5 years of experience in building complex, scalable ETLs and proficiency in SQL, Airflow, Python, and Java.
As a Senior BI Engineer at Cash App, you will build and optimize data models for Customer Support, create reusable frameworks for ETLs, mentor team members, and promote data best practices. Requires 7+ years of industry experience in ETL development and a background in Computer Science or related field.
Lead the Data Science & Engineering department to foster a data-centric culture, make data-informed decisions, and build data products for Democratic and progressive grass-roots fundraising. Collaborate with leaders, oversee data teams, guide data systems evolution, and build machine learning infrastructure.
Top remote Companies in San Francisco, CA Hiring Data + Analytics Roles
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