Harrington Starr
Senior Data Engineer
Skills
9 days ago
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Important information
Contract type:
Permanent
Location:
Boston, MA, USA
Work mode:
Onsite
Published on:
16 October 2026
What they need
Data Engineer | Boston, MA | Hybrid | $150,000
Get in on the ground floor of a greenfield Snowflake Cortex AI build at a global private equity firm, joining a growing close-knit data engineering team.
Why this role stands out:
- Greenfield AI, not legacy maintenance. Build AI agents and semantic views in Snowflake Cortex on the firm’s enterprise data lake, at the cutting edge of what the platform can do.
- Your work gets used. You’ll sit at the centre of the firm, supporting the Data Management, AI and Software Engineering teams directly.
- High-value data, real stakes. Build the pipelines that connect internal OMS/PMS systems with Bloomberg and MSCI, the data investment decisions run on.
- Small team, big visibility. A tight-knit group with a seat at the table, plenty of ownership, and room to grow as the team expands.
A typical week
- Designing and building data pipelines (ADF, Python, MySQL).
- Transforming data in Snowflake.
- Building AI agents and semantic views in Snowflake Cortex.
- Collaborating in all scrum ceremonies with a team that has your back.
Core stack: Snowflake, Python, SQL, ETL/API integration
What you’ll bring
- 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.
- A track record building complex data warehouses, with strong data modeling and star schema skills.
- Agile/Scrum experience.
- A degree in Computer Science or a related technical field.
- Curiosity, logical thinking, and the habit of clarifying rather than assuming.
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