Top Analytics Engineer Jobs

As a Senior Analytics Engineer, you will build and manage the semantic layer of data for business insights, maintain data quality, and collaborate across teams to enhance data-driven culture.

The Solution Engineer - Analytics will design and develop analytics solutions, build SQL queries, and collaborate with business stakeholders and data teams while supporting the delivery of analytics systems.

In this role, the Senior Data Systems Analyst will master the data pipeline architecture, contribute to infrastructure improvements, solve complex data challenges, and build partnerships within the company to enhance data systems.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

As a Software Engineer in Test III, you will design and implement tests for data pipelines, enhance data quality, and collaborate with cross-functional teams to validate analytics solutions.

As a Senior Analytics Engineer, you will design, develop, and implement analytics solutions, focusing on data modeling, ETL processes, and system integration while mentoring and collaborating with cross-functional teams.

Design and operate data platforms using Databricks and Palantir on Azure, focusing on automation, CI/CD, and reliability practices.

Design and operate scalable data platforms using Databricks and Palantir, ensuring high-quality data engineering and product delivery through CI/CD and Infrastructure-as-Code principles.

The Senior Analytics Engineer designs and maintains analytics-ready data models, manages SQL-based transformations, partners with stakeholders, and ensures data quality for reporting and decision-making.

This role requires designing and developing data integration frameworks, managing data pipelines, and collaborating with teams to drive product-led growth using data insights.

The Full Stack Analytics DevOps Engineer will architect, automate, and operate enterprise analytics platforms, focusing on Infrastructure as Code and ensuring security in cloud environments. This role involves improving CI/CD workflows, collaborating with IT architecture, and developing reusable modules for analytics solutions.

The role involves managing digital data collection, implementing tracking solutions, developing tagging systems, ensuring data accuracy, and collaborating across teams for optimal data utilization.

The Analytics Product Developer develops and deploys analytics for fleet stability, collaborates with various teams, and creates data visualizations to support decision-making.

As a Staff Software Engineer, you'll lead the development of analytics features, overseeing project delivery, performance optimization, and mentoring teammates.

Develop and apply data analytics and predictive methods to improve system performance and manufacturability in semiconductor manufacturing. Engage in system integration, collaborate with teams, and support production ramp using analytical insights.

The role involves data analysis, scripting automation with MATLAB/Python, technical reporting, communication of findings, and collaboration with teams to refine data workflows.

The Senior Analytics Engineer will design, build, and maintain data models, reports, and dashboards to support GTM teams, leveraging data to drive business insights and efficiencies while integrating AI solutions.

Develop and maintain software applications, communicate with users, and implement flexible solutions while improving processes.

The Senior Software Engineer will develop AI-powered workflows and internal tools, ensuring integration with sales and operational systems, while collaborating with various teams to enhance efficiency and automation.

Design, develop, and monitor large-scale cloud-native data solutions and ETL pipelines; support ML model deployment, ensure code hygiene and CI/CD, mentor engineers, produce documentation and runbooks, and engage with clients to deliver analytics-driven solutions.

The role involves developing and improving data processing frameworks using Airflow and AWS, collaborating with cross-functional teams, and enhancing system observability for analytics platforms.

The Principal Analytics & ML Engineer will architect scalable analytics and ML solutions, build data models and pipelines, and mentor teams on best practices. Responsibilities include developing analytical models, collaborating across teams, and driving impactful analytics projects.

The Senior Software Engineer will design, build, and maintain data platforms within the EDW, collaborating on architectural patterns and guiding junior engineers while focusing on performance and cost efficiency.

The Engineer, Systems Integration and Analytics will integrate subsystems, perform data analytics using SQL, and collaborate with teams to enhance robotic surgical solutions. Responsibilities include designing tools, leading testing phases, and troubleshooting systems.

The senior Data Engineer will drive technical excellence in analytics and visualization, focusing on building trusted dashboards from telemetry and business data, optimizing data pipelines, and maintaining high data quality standards.