Data Engineer

Sharp Decisions • New York, NY

36d • Hybrid

About The Position

Role: Data Engineer Location: 2 days onsite (hybrid) Type: Contract-to-Hire or Full-Time Domain: Finance preferred, not mandatory Key Skills & Requirements: Must-have: Strong Python and Informatica experience AI/ML Exposure: Familiarity with building and fine-tuning models; not a heavy AI/ML developer role ETL & Data Engineering: Hands-on experience with ETL pipelines, data modeling, and "data plumbing" Nice-to-have: Snowflake ecosystem experience, HR systems exposure Ability to collaborate with business teams handling Data Science Candidate Profile: Hands-on Data Engineer comfortable building data pipelines and models Exposure to AI/ML concepts without being a full AI specialist Finance domain experience is a plus #LI-NG1

Requirements

• Strong Python experience
• Informatica experience
• Familiarity with building and fine-tuning models
• Hands-on experience with ETL pipelines
• Data modeling experience
• Data plumbing experience

Nice To Haves

• Snowflake ecosystem experience
• HR systems exposure
• Ability to collaborate with business teams handling Data Science
• Finance domain experience

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees