Pay not posted
Data Engineer, AI Development
Posted by Ultimus Fund Solutions · open on Dayforce as of
Pay not postedOmaha, NE +4
This Data Engineer works within a small, cross-functional AI Development pod to supply workflow-specific data for AI models, analytics, and agents used in fund administration.
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At a glance
Posted base pay
Not posted
Median $180K
Not stated FDE postings50 postings · middle 50% of posted pay$151K–$204KThe work
Builds for teams inside the company
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations (not covered)
- Coding
- Writes production code
- Builds for
- Internal teams
- Role
- Individual contributor
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More like this
$86,600–$144,400
Pay not posted
The job description from Ultimus Fund Solutions
Posted by Ultimus Fund Solutions on
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.
View posting at Ultimus Fund Solutions
About Ultimus Fund Solutions
Provides fund administration, accounting, investor servicing, and investment operations technology to fund and asset managers.
Late-stage private · 1000–2000 people
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