Senior Data Engineer: Cloud Platform & AI Analytics

Huxley; Boston (MA); On-site; USD 140,000 - 180,000; Full time

Job summary

Huxley in Boston seeks a Senior Data Engineer to design, build, and optimize cloud-based data platforms that deliver reliable analytics and AI-ready insights. You will shape data architectures, automate pipelines, and develop analytical models to enable reporting and self-serve BI.

The role requires strong SQL, PostgreSQL, and cloud data services experience, plus collaboration with stakeholders across product and engineering to ensure data is accurate and scalable.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/IS/Engineering or related field.
• Proven experience designing and supporting enterprise-scale data platforms.
• Strong SQL expertise and data warehouse design.
• Experience with relational DBs like PostgreSQL, SQL Server, MySQL, or Oracle.
• Experience building large-scale data ingestion and transformation pipelines.
• Knowledge of distributed processing frameworks (e.g., Apache Spark).
• Experience with cloud data services, orchestration tools, storage, and CI/CD.
• Python programming for automation and data integration.
• Excellent communication and collaboration.

Responsibilities

• Design, build, and optimize cloud-based data platforms for analytics and AI.
• Develop automated data ingestion and transformation pipelines.
• Create governed semantic layers and scalable data models.
• Tune performance and manage costs.
• Collaborate with stakeholders and teams.

Skills

SQL

Python

Data modeling

Cloud platforms

Data pipelines

Education

Bachelor's degree in CS/IS/Engineering

Tools

PostgreSQL

Apache Spark

Airflow

CI/CD

Job description

Huxley in Boston seeks a Senior Data Engineer to design, build, and optimize cloud-based data platforms that deliver reliable analytics and AI-ready insights. You will shape data architectures, automate pipelines, and develop analytical models to enable reporting and self-serve BI.

The role requires strong SQL, PostgreSQL, and cloud data services experience, plus collaboration with stakeholders across product and engineering to ensure data is accurate and scalable.