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# Associate, Data Engineer New

- **Company:** Kohlberg Kravis Roberts & Co.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $145,000 - $165,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Mobile Application Development, Computer Programming, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Database Design, Python (Programming Language), Machine Learning, Software Maintenance, SQL Databases, High Performance Computing, Claude Code, Information Technology, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b102f27eae8df2a0

## About the Role

* Bachelor's or master's degree in top universities with concentrations in computer science, data science, statistics, or any other related quantitative fields
 * 3-5 years of industry work experience as data engineer or data scientist
 * Strong programming skills in Python and SQL with or without AI tools
 * Strong knowledge in database design and operation, data structure
 * Proficient in developing and maintaining software and data infrastructure using Claude Code or any other substitutes
 * Extraordinary analytical, organizational, and communication (written and verbal) skills are required
 * Pro-active, detail oriented, and deadline driven
 * Tracking record of building and deploying agentic AI application into production is plus
 * Knowledge in high performance computing and big-data tools are plus
 * Insurance industry work experience, especially with annuities is plus

## Description

The Insurance Data Science team reports through the Chief Risk Officer and uses AI and machine learning techniques to develop predictive models for policy-level transactions and human behavior. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and assist in forecasting and financial reporting. The group has a unique vantage point in nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. The successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with other teams with functions mentioned above.

The team is heavily invested in developing agentic AI tools to solve company-wide problems and boost efficiency of all aspects of work., * Owning AI-assisted data reconciliation system and ETL

 * Manage complicated data projects partnered enterprise data engineering team
 * Use AI tools to develop new data pipelines and validation tools
 * Build AI-native applications to solve data problems
 * Perform ad hoc data analysis
 * Potentially building advanced machine learning models leverage big data and high-performance computing tools