Principal Data Engineer (Snowflake/Sagemaker)

Description:
Our leading financial services client is looking to hire a skilled Data Engineer to help launch a new Machine Learning Data team. This individual will play a key role in shaping how our client serves data to power model development and deployment across their Data Science space.

This role will require someone to work on site in Cincinnati, Ohio on a hybrid basis

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80-90/ hr. w2

Responsibilities:

• We're looking for someone with deep experience in modern data engineering - ideally with a strong command of SQL, Snowflake, and dbt . You should be comfortable navigating ambiguity, curious about new ways to solve old problems, and energized by the opportunity to work cross-functionally with data scientists, product owners, and business teams.
• A successful candidate will be self-directed, thoughtful, and collaborative - someone who's just as comfortable designing a scalable architecture as they are jumping in to troubleshoot a failing job. Experience with machine learning pipelines, feature engineering, or feature stores is a huge plus . Experience in highly regulated industries like banking, finance, or healthcare is preferred.
• This is a hands-on role with high visibility and high impact. We're looking for someone who can inject fuel into this new team - bringing energy, expertise, and momentum to help us move fast and build with intention.

Experience Requirements:
Must Have

• Adaptability
• Communication
• Cross-Functional Collaboration
• DBT
• Leadership
• Snowflake
• SQL

Nice To Have

• AWS Sagemaker
• Feature Store
• ML Flow
• Python

Education Requirements:
Bachelor's Degree or high in Computer Science or related field