Top Remote Analytics Engineer Jobs

The AV Safety Engineering Analytics Engineer develops data analytics infrastructures, defines metrics for safety assurance, and creates visualizations for automated vehicle technologies, enhancing decision-making through data integration and analysis.

The Staff Analytics Engineer will own the Financial Subledger Data Platform, build dbt models, implement data quality controls, and mentor a junior engineer, ensuring high operational reliability and cross-functional collaboration.

As a Staff Analytics Engineer, you'll lead analytics architecture, ensure data quality, collaborate with stakeholders, and drive AI-powered data insights for business decision-making.

As a Lead Analytics Engineer, you will build data products, collaborate with stakeholders, drive technical excellence, and mentor junior engineers.

The Principal Product Analytics Engineer leads the design and architecture of Toast's product analytics ecosystem, ensuring reliable and scalable data for analysis across various platforms. This role involves creating data frameworks, implementing quality controls, and collaborating with cross-functional teams to support data-driven product development and AI insights.

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The role involves leading the FinOps practice, overseeing cloud cost management across product and platform groups, and ensuring strategic alignment and cost efficiency. Responsibilities include team leadership, collaboration with engineering and finance, and reporting to senior leadership.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The AI/ML Engineer will focus on integrating AI/ML methods into safety assurance analytics for autonomous vehicles, develop data infrastructure, and collaborate across teams to improve vehicle safety performance using large-scale data analysis.

The Engineer will develop data analytics infrastructure for AV safety analytics, integrate simulation data, and collaborate to enhance automated driving systems' validation and performance metrics.

As an Analytics Engineer at Axios, you'll design and maintain data products and visualizations, improving decision-making through actionable insights.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

The Manufacturing Analytics Engineer will manage the analytics pipeline, transforming operational data from OT systems into actionable insights for decision-making, while collaborating with Engineering, IT, and Operations.

As a Staff Analytics Engineer, you'll design and maintain a robust analytics data layer, ensuring accuracy in R&D data and mentoring team members.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

Lead the architecture and development of data ecosystems and analytics capabilities, optimizing data products for customer insights and decision-making.

The RevOps Analytics Engineer is responsible for maintaining data infrastructure, building reliable data systems, and supporting revenue analytics through effective data modeling and ETL/ELT processes.

The Senior Data Analytics Engineer will own the data ecosystem, manage pipelines, support AI/ML initiatives, and translate business goals into technical requirements. They will also ensure data reliability and optimize performance across analytics platforms.

The Analytics Engineer will build and maintain data models and pipelines, optimize data sources, and implement analytics frameworks to improve clinical programs.

The Sr. Analytics Engineer at Philo is responsible for designing data models, governing business metrics, collaborating with stakeholders, and ensuring data quality and documentation for analytics purposes.