Analytics Engineer

• Design and ship full-stack features across our TypeScript frontend and TypeScript Lambda backends.
• Model data and metrics in Cube.dev; build embedded analytics experiences using Embeddable components.
• Own the production lifecycle of your features: CI/CD, performance, observability, and post-deploy validation.
• Implement your own AWS infrastructure (Lambda, IAM, networking, storage) using Terraform.
• Work day-to-day in Claude Code and contribute to the team's AI context library, prompts, and process improvements.
• Pair with our designer, data engineers, and dashboard configuration lead to land features that hold up against real customer data.

Full Stack Software Engineer – Insight Analytics

• Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations.
• Develop data models for use by analysts and applications from across the business using modern dimensional modeling practices to efficiently serve accurate, consistent data.
• Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns.
• Create efficient, performant data models to support business requirements and analytics needs.
• Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability.
• Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions and on-premises systems.
• Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis.
• Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions.
• Identify and resolve data-related issues and challenges for technical and non-technical stakeholders.
• Support company-wide projects ranging from server migrations to mergers and acquisitions as a data and systems expert.
• Automate data processes to improve efficiency and reduce manual effort.
• Implement modern concepts like metadata-driven pipelines and Infrastructure-as-Code that will play a key role in a scalable, resilient data platform.
• Document data processes, architecture, and workflows.

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Full Stack Software Engineer – Insight Analytics

Analytics Engineer