Senior Data Engineer: AI-Driven Pipelines & Snowflake

Selby Jennings; Boston (MA); On-site; USD 110,000 - 165,000; Full time

Job summary

Selby Jennings is seeking a skilled Data Engineer to join its Boston-based engineering group, contributing from day one in a fast-growing, collaborative environment. The role focuses on building scalable pipelines, data modeling, and working with Snowflake, Python, and Azure Data Factory, with engagement across governance, AI, and application engineering.

Ideal candidates have 5+ years in data engineering and strong SQL/MySQL skills, plus experience integrating external data sources.

Qualifications

• 5+ years of professional data engineering experience.
• Strong SQL skills and MySQL experience.
• Hands-on Snowflake experience (AI features/semantic modeling advantageous).
• Proficiency with Python for data pipelines.
• Experience APIs and external data integration.
• Experience with cloud data tools and agile development.

Responsibilities

• Develop and maintain scalable data pipelines across internal and external data sources.
• Work with cross-functional teams including governance and AI.
• Design and optimize ETL in cloud environments (Snowflake, Azure Data Factory).
• Collaborate in an agile team, participate in sprint ceremonies.
• Ensure data quality, accuracy, and performance.

Skills

Analytical thinking

Collaboration

Problem solving

Independent working

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Python

MySQL

Azure Data Factory

APIs

Power BI

Job description

Selby Jennings is seeking a skilled Data Engineer to join its Boston-based engineering group, contributing from day one in a fast-growing, collaborative environment. The role focuses on building scalable pipelines, data modeling, and working with Snowflake, Python, and Azure Data Factory, with engagement across governance, AI, and application engineering.

Ideal candidates have 5+ years in data engineering and strong SQL/MySQL skills, plus experience integrating external data sources.