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# Senior Data Engineer

- **Company:** Huxley Associates
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Computing, Information Engineering, Data Transformation, DevOps, Python (Programming Language), Performance Tuning, Standard Sql, TypeScript, ReactJS, Large Language Models, Snowflake, Data Management, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.huxley.com/en-gb/job/senior-data-engineer/4063480

## About the Role

* 10+ years of data engineering experience in complex, data-intensive environments
 * Deep expertise with Snowflake, including data modeling, performance optimization, and platform architecture
 * Strong SQL and modern data engineering fundamentals
 * Experience building data platforms in Azure, AWS, or GCP environments
 * Proficiency with Python and modern engineering practices
 * Excellent communication and stakeholder management skills, with the ability to work directly with senior business and technology leaders
 * Experience operating in highly collaborative, fast-paced environments undergoing technology transformation

Technology Environment

 * Snowflake
 * Python
 * SQL
 * Azure (AWS and GCP experience also valued)
 * React / TypeScript ecosystem
 * AI / GenAI / LLM initiatives

## Description

* Design, build, and scale enterprise data platforms that support critical investment and business workflows
 * Lead the development of modern data pipelines and data products within a cloud-based ecosystem
 * Drive Snowflake architecture, optimization, and best practices across the organization
 * Partner closely with engineering, data, business, and investment stakeholders to translate complex requirements into scalable solutions
 * Mentor engineers and help establish standards across a growing internal technology organization
 * Contribute to greenfield initiatives involving cloud technologies, data modernization, and AI-driven capabilities