160 Analytics Engineer jobs in United States available for remote work from home. Apply for positions such as Staff Software Engineer, Backend (Lake Analytics Platform), Senior Software Engineer, Backend (Lake Analytics Platform) , Senior Power Systems Engineer - Modeling & Analytics (REMOTE) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Define and drive the technical roadmap for Affirm's Lakehouse Platform, focusing on scalability, reliability, and cost-efficiency. Architect and implement secure data access capabilities and governance frameworks across Snowflake and Apache Iceberg.
Build and operate core platform capabilities for Affirm's data infrastructure, focusing on reliability, self-service tooling, and automated provisioning. Design secure data access patterns and develop integrations between the platform and internal systems to support large-scale data applications.
Lead a team of engineers in providing advanced power systems modeling and analytics for electric utility clients. Responsibilities include managing project budgets, mentoring junior staff, and performing complex transmission and distribution engineering analyses.
Improve the reliability, scalability, and performance of large-scale data platforms, ML pipelines, and inference services. Build automation and operational tooling to reduce toil and evolve centralized platform services across the organization.
Build end-to-end full-stack data and analytics features, including data models and user-facing interfaces. Develop AI and LLM-powered workflows to accelerate data transformation and analysis for internal and external stakeholders.
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Lead the design and architecture of Voleon's analytics infrastructure to support research reporting and analysis across strategies. Own critical analytics pipelines and drive the transition toward a standardized, observable, and query-native analytics platform.
Own the end-to-end development of core product features for the Coaching and Analytics team, focusing on scalable backend systems and intuitive user experiences. Collaborate cross-functionally to transform raw call data into actionable AI-driven coaching tools and insights.
You will lead technical discovery and design scalable, high-performance data solutions on Google Cloud Platform to meet client business goals. Additionally, you will build and maintain ETL/ELT pipelines while providing expert technical guidance throughout the project lifecycle.
Lead and manage a team in power systems modeling and analytics while mentoring junior engineers and interacting with utility clients. Oversee project management tasks including budgeting, scheduling, and developing technical scopes of work.
Design, build, and maintain scalable data pipelines that support analytics and reporting. Collaborate with cross-functional teams to define data requirements and deliver actionable insights.
Design, build, and maintain scalable, distributed data pipelines and ETL/ELT workflows to support public health analytics. Collaborate with cross-functional teams to implement data modernization methods and deliver actionable insights through analytical tools and dashboards.
The Principal Data Engineer defines and implements enterprise-scale data architecture and engineering strategies while contributing to solution design and technical delivery. This role develops data pipelines and collaborates with product teams to translate quantitative assessments into actionable insights.
The Lead Data Engineer will design, develop, and optimize production-grade data pipelines and platform capabilities while mentoring engineering team members. They will also serve as a technical liaison and lead technical discussions to ensure scalable, resilient data solutions.
The Principal Data Engineer defines and implements enterprise-scale data architecture and engineering strategies while contributing to solution design and technical delivery. They also provide technical leadership and mentorship to engineering teams while developing data pipelines and analytical models.
The Lead Data Engineer will design, develop, and optimize production-grade data pipelines and platform capabilities while providing technical leadership to engineering teams. They will also facilitate communication across engineering departments and mentor team members on architectural principles and design patterns.
Lead data science and analytics initiatives to drive strategic decision-making and operational efficiency across healthcare domains. Oversee the development of data models and provide actionable insights through comprehensive analysis to optimize revenue and healthcare outcomes.
Implement cost monitoring, alerting, and automation tools to drive sustainable cloud cost management across product and platform groups. Develop cost allocation pipelines and dashboards to ensure accurate attribution and prevent cost overruns.
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The incumbent will implement and maintain infrastructure, tools, and analytical application environments to support the UCI Health enterprise strategic vision. They will work within a team of data specialists to ensure the proper configuration, movement, transformation, and quality of data.
Lead the architecture and implementation of enterprise-scale cloud-native data platforms to support mission-critical workloads. Partner with stakeholders to design scalable data pipelines and drive technical excellence through best practices and mentorship.
The developer will design and maintain dashboards and analytical solutions to transform operational data into actionable insights for the Quality department. They will integrate data from multiple enterprise systems to ensure reliable reporting and support data governance initiatives.
Lead, mentor, and grow a high-performing team of analytics engineers to build and maintain robust data pipelines and analytical models. Partner cross-functionally with product, engineering, and operations teams to deliver scalable data solutions and drive strategic business decisions.
You will lead the roadmap, architecture, and team responsible for the trusted data foundations that power 1Password’s business. This involves setting standards for data modeling, governance, and BI tooling while partnering with cross-functional leaders to support company-wide decision-making and AI initiatives.
The Director of Analytics Engineering will develop a long-term strategic vision for enterprise data architecture and lead a team to build scalable, reliable data foundations. They will also define data modeling standards and partner with cross-functional stakeholders to drive data-informed decision-making.
You will lead and unify the Data and Analytics Engineering teams, overseeing the end-to-end technical roadmap from raw data ingestion to the metrics layer. This role involves direct management of engineers, setting architectural standards, and partnering with business stakeholders to prioritize data needs.
Lead a team of analytics engineers to build a trusted data foundation and semantic metrics layer for company-wide decision-making. Define the analytics engineering roadmap and partner cross-functionally to ensure high-quality, scalable data products.
Lead and develop a team of Analytics Engineers to build a centralized, AI-ready data foundation and semantic layer. This hands-on role involves writing SQL/dbt code and partnering with cross-functional stakeholders to deliver scalable data products.
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Lead and grow the data modeling function by owning the semantic layer and transformation layer that power business decision-making. Manage a team of analytics engineers while partnering with Finance and other stakeholders to translate analytical needs into reusable data assets.
Build and scale GTM functions, data infrastructure, and AI-native products for high-growth startups. Connect with founders and executives to solve hard problems and turn bold ideas into measurable revenue and impact.
The Enterprise Performance Analytics Engineer will support the development and maintenance of analytics infrastructure, focusing on building and maintaining foundational data models and ensuring data quality. This role involves collaborating with data analysts and stakeholders to understand data needs and implement models that support reporting and analysis.
Lead and manage the Data Engineering and Analytics team to deliver accurate, governed, and timely data products while setting the strategic direction for data initiatives. Foster a culture of mentorship and continuous learning while collaborating with cross-functional leaders to align data strategy with company objectives.
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