JobCubby JobCubby
Sign up
Ultimus Fund Solutions

Data Engineer, AI Development

Ultimus Fund Solutions Omaha, Nebraska, United States · $100K–$250K/yr

Financial Services · 1,001-5,000 employees

20 h ago
data-engineer Senior (5-10 yrs) Full-time United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

Applying here? Try the free cover letter tool — paste this posting and your résumé, no account needed.

About the role

You will design and build workflow-specific data pipelines and integrations to support AI solutions, models, and agents. Additionally, you will transform unstructured inputs into structured data and implement data quality checks to ensure accuracy.

What they look for

Data Engineering AI Development Snowflake Data Pipelines Data Modeling Machine Learning Generative AI Intelligent Document Processing Data Quality Integration Python SQL Data Analysis AI Infrastructure

Requirements

The role requires experience in data engineering, specifically building pipelines and data models using Snowflake. You must be able to collaborate within cross-functional AI development teams to redesign workflows and support AI-driven initiatives.

Full description

About the team

Ultimus is investing in AI to transform how fund administration work gets done, from generative AI assistants, intelligent document processing and machine learning to a growing set of agentic AI workflows. Our AI Development teams are small, cross-functional groups of AI engineers, data scientists, data engineers and AI analysts who partner closely with our operations experts to redesign key workflows and build the AI solutions that support them, with AI agents an increasingly important part of that work. They are backed by a dedicated AI Infrastructure team and a shared enterprise AI platform.

About the role

As Data Engineer in an AI Development pod you make sure each workflow's AI solutions, including models, analytics and AI agents, have the right data, in the right shape, at the right time. You work on the specific data each workflow needs, building on the shared platform from the AI Infrastructure team.

What you'll do

  • Map the data each workflow uses today, including systems, files, emails and spreadsheets, and design how AI solutions will get it.
  • Build the workflow-specific pipelines, integrations and data models that AI solutions need, using Snowflake and the shared AI platform.
  • Turn unstructured inputs such as statements, subscription documents and Excel workbooks into structured data that models and agents can use.
  • Set up data quality checks so AI solutions work from accurate, complete data, and fix data issues found during testing.
  • Contribute workflow data back to the shared platform so the next workflow can reuse it.

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

Similar roles