Senior Data Engineer - Snowflake & Cortex AI, Hybrid Boston

Harrington Starr; Boston (MA); Hybrid; USD 135,000 - 165,000; Full time

Job summary

Harrington Starr is seeking a Data Engineer in Boston, offering a hybrid work arrangement. The role focuses on building data pipelines, transforming data in Snowflake, and contributing to Cortex AI initiatives within a small, growth-oriented team.

The candidate will work on integrating OMS/PMS systems with external vendors, leverage Python and SQL, and participate in all Scrum ceremonies to support Data Management, AI, and Software Engineering functions.

Qualifications

• 5+ years as a data engineer.
• 3+ years in Snowflake, including Cortex AI and semantic views.
• 3+ years in Python 3, including data manipulation and API connectivity.
• Experience building complex data warehouses and proficient in data modelling and star schema.
• Experience working in an agile/Scrum setup.
• Degree in Computer Science or related technical field.
• You will understand data modelling/warehousing at a working level, but not design a warehouse from scratch.
• AI/Snowflake Cortex experience is advantageous with a genuine passion and self-study.
• Must possess soft-skills of logical thinking, inquisitiveness, and clear communication.

Responsibilities

• Design and build data pipelines (ADF, Python, MySQL).
• Transform data in Snowflake for analytics and reporting.
• Build AI agents and semantic views in Snowflake Cortex.
• Participate in all Scrum ceremonies within the data engineering team.

Skills

Data pipelines

Python

SQL

Data modeling

Agile/Scrum

Team collaboration

Education

Bachelor's in Computer Science

Tools

Snowflake Cortex AI

Snowflake

Python

MySQL

API integration

Job description

Harrington Starr is seeking a Data Engineer in Boston, offering a hybrid work arrangement. The role focuses on building data pipelines, transforming data in Snowflake, and contributing to Cortex AI initiatives within a small, growth-oriented team.

The candidate will work on integrating OMS/PMS systems with external vendors, leverage Python and SQL, and participate in all Scrum ceremonies to support Data Management, AI, and Software Engineering functions.