Full Stack Engineer, Data Science
The Carlyle GroupRole Overview
The Carlyle Group is hiring a mid-level Full Stack Engineer, Data Science. This is a full-time role in Washington. Part of The Carlyle Group's Backend hiring. The posted range is $200k to $220k. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Position Summary
Join our team to lead engineering projects for a next-generation generative AI application that supports private equity investment teams, including financial analysts and deal professionals. In this role, you’ll develop full-stack product features from the ground up, including UI components, backend APIs, AI workflow integrations, and data optimization for financial decision-making.
You’ll work alongside product, data, and AI teams to bring advanced intelligence to the tools used by investment professionals—making research, analysis, and deal execution faster and more data-driven.
In-Office Requirement: 4 days per week
Responsibilities
- Design, build and deploy full-stack features using Angular, Python, REST
- Develop robust and scalable backend APIs and services to support AI-powered workflows
- Integrate generative AI models (e.g., LLMs, embeddings) into user-facing tools
- Collaborate closely with product and data teams to translate financial workflows into intuitive, high-performance software
- Implement efficient data storage and retrieval mechanisms for deal and market data
- Write high-quality, maintainable, and well-tested code
- Contribute to architectural decisions and drive continuous improvement across the stack
Requirements
Education & Certificates
- Bachelors Degree, required
- Concentration in a STEM field, preferred
Professional Experience
- 8+ years of overall relevant technical experience, required
- Hands-on experience in full stack software development, required
- Strong proficiency with Angular, Python, and REST
- Experience building backend systems and working with APIs
- Familiarity with AI/ML integration and generative AI models
- Comfortable working with both structured and unstructured data
- Strong product intuition, with the ability to understand the needs of financial professionals
- Experience working on high-impact problems at the intersection of AI, data, and finance - Experience in fintech, private equity, or investment-related domains is a plus
Benefits/Compensation
The compensation range for this role is specific to Washington, DC and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $200,000 to $220,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
Company Information
The Carlyle Group (NASDAQ: CG) is a global investment firm with $477 billion of assets under management, across 678 investment vehicles as of December 31, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle’s purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments – Global Private Equity, Global Credit and Carlyle AlpInvest – and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.
Frequently Asked Questions
How do I apply for the Full Stack Engineer, Data Science position at The Carlyle Group?
Use the Apply button above to submit your application directly to The Carlyle Group. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Full Stack Engineer, Data Science position at The Carlyle Group located?
This position is based in Washington. The Carlyle Group has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
How much does the Full Stack Engineer, Data Science role at The Carlyle Group pay?
The Carlyle Group has posted a compensation range of $200k to $220k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.
When was the Full Stack Engineer, Data Science role at The Carlyle Group posted?
This role was posted on March 16, 2026 (84 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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