Senior Full Stack Engineer - Data & Analytics

Cartesian•Boston, MA

2d•$100,000 - $150,000

About The Position

About Cartesian Cartesian is a specialist consulting firm with over 35 years of experience serving the global telecommunications, media, and technology (TMT) sectors. We partner with clients worldwide to design and implement practical strategies, data-driven transformations, and technology solutions that drive growth and operational efficiency. Our expertise spans analytics, strategy, technical services, content security, and management consulting. Our Technology & Innovation team owns the cloud-based infrastructure powering Cartesian's analytics initiatives. We build secure portals and modern data pipelines—transitioning legacy workflows into scalable SQL platforms. In partnership with our Strategy & Analytics practice, we integrate applied AI and optimized ETL workflows to deliver high-impact production solutions for our clients. Role Overview We are seeking a Senior Full Stack Engineer to take end-to-end ownership of our analytics portals and the data pipelines that power them. In this role, you will build and maintain the entire technical stack—leading the design, migration, and SQL-based transformation of complex workflows while architecting the robust, cloud-based systems that surface insights to our users. With deep analytics DNA, you will leverage React, Python, and AWS serverless to translate high-level stakeholder requirements into discrete technical tasks. This role is ideal for an autonomous builder who values the impact of owning long-lived systems, enjoys mastering both the user experience and the data engine behind it—architecting net-new assets and applying AI capabilities to solve real-world problems.

Requirements

Expert SQL and cloud data architecture skills, with a proven ability to scope and justify complex technical solutions
Experience owning and migrating ETL / ELT data pipelines, including transitions from legacy or visual ETL tools into SQL-based workflows
Experience developing modern web applications using JavaScript, React, and Python
Hands-on experience deploying and operating applications on AWS (Amplify, Lambda, API Gateway, CloudFormation)
Experience with RESTful APIs, cloud deployment practices, and automated build pipelines
Ability to work autonomously, take ownership of complex systems, and lead technical workstreams
Strong communication skills with the ability to translate requirements into technical solutions for stakeholders

Nice To Haves

Experience integrating AI or LLM-based tools (OpenAI API, AWS Bedrock, LangChain)
Experience with Alteryx or other visual ETL tools
Background in analytics engineering
Experience building internal tools or analytics portals

Responsibilities

Lead Data Pipeline Design & Migration
Own the migration of existing data pipelines into performant, scalable SQL-based workflows in Snowflake
Document and refactor legacy processes into maintainable code, ensuring data integrity, accuracy, and reliability
Design and implement new data pipelines and integrations as new data feeds and business requirements evolve
Own the Analytics Platform & Portal
Architect and maintain secure portal-based web applications that deliver data products and actionable insights to users
Develop modern experiences using React and JavaScript with Python-based backend services on AWS (Lambda, API Gateway)
Manage authentication, deployments, monitoring, and CI/CD using AWS services such as Cognito, Amplify, CloudFormation, CodeBuild, and CloudWatch
Enable Applied AI & Data Interaction
Integrate emerging AI and LLM capabilities into the portal, allowing users to interact with sales and analytics data
Prepare and structure data to ensure AI-driven features are accurate, trustworthy, practical, and deliver real business value
Act as a Technical Owner & Partner
Lead the development of new features and AI integrations while maintaining core systems.
Scope ambiguous stakeholder needs into discrete technical tasks and milestones.
Influence the technical direction and long-term evolution of platforms
Establish best practices around documentation, testing, and maintainability