Associate, Data Engineer
New York, New York, United States
- Pay
USD 145,000–165,000/year · BaseAnnual period assumed — pay source
Base Salary Range $145,000—$165,000 USD KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingOwn the AI-assisted data reconciliation system and ETL
Manage complex data projects with the 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
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Bachelor's or master's degree in top universities with concentrations in computer science, data science, statistics, or any other related quantitative fields
- Strong knowledge in database design and operation, data structure
- 3-5 years of industry work experience as data engineer or data scientist
- Proficient in developing and maintaining software and data infrastructure using Claude Code or any other substitutes
- Knowledge in high performance computing and big-data tools are plus
Qualification wording
Bachelor's or master's degree in top universities with concentrations in computer science, data science, statistics, or any other related quantitative fields
Strong knowledge in database design and operation, data structure
3-5 years of industry work experience as data engineer or data scientist
Proficient in developing and maintaining software and data infrastructure using Claude Code or any other substitutes
Knowledge in high performance computing and big-data tools are plus
Education & alternatives
QUALIFICATIONS - 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
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 13 days ago
- Recorded sightings
- 30
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.kkr.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
COMPANY OVERVIEW
KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
POSITION OVERVIEW
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.
RESPONSIBILITIES
- 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
QUALIFICATIONS
- 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
KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email Benefits@kkr.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to Benefits@kkr.com. Only emails left for this purpose will be returned.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Base Salary Range $145,000—$165,000 USD KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
- Location & working pattern
New York, New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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