Data Engineer Intern

2026 Data Engineer Summer Internship - Lazard Data Analytics Group Location   New York Business Unit   Corporate Program Type   Summer Internship Description   Lazard is one of the world’s preeminent financial advisory and asset management firms. Our people and culture make the difference. While global in presence and reach, ours is a close, collaborative community of just over 3,000 professionals. Lazard is a place of continuous knowledge sharing, skill development and relationship building, where professionals grow and succeed together. Our entrepreneurial culture, flat structure and embrace of individual differences, allow creative ideas, original concepts, and unique perspectives to drive our business forward — and for careers to take flight. The Lazard Data Analytics Group, composed of data scientists, AI engineers, and software engineers, drives innovation by developing advanced AI and data science solutions that enhance decision-making across our financial advisory and asset management business lines. This team ensures Lazard stays at the forefront of a data-driven world, delivering insights that support client engagements and strengthen key partnerships, while keeping the firm competitive and efficient in an evolving financial landscape.The Data Engineer Summer Intern will work within the Data Services Team. The primary responsibility is to design, prototype, test, and deploy AI-driven applications and data products that leverage machine learning, natural language processing, and generative AI. The Data Engineer Intern will have the opportunity to work closely with AI engineers, data scientists, software engineers, investment bankers, and senior management across the Firm. We’re all-in on the cloud and are a leader in the adoption of open source, RESTful APIs, microservices, and containerized deployments.Successful candidates should have a strong programming, machine learning, and problem-solving background. You’ll need to have:A bachelor’s or advanced degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.Strong programming skills in Python. Experience with object-oriented or functional programming.Understanding of large language model (LLM) frameworks such as LangChain, LlamaIndex, and VectorDBs.Interest in and exposure to agentic workflows, autonomous AI systems, and MCP (Model Context Protocol) agent development.Experience building and maintaining data pipelines and working with large-scale structured and unstructured data.Exposure to cloud platforms such as AWS, Azure, or GCP.Familiarity with APIs and microservices frameworks like FastAPI or Flask.Experience with relational and NoSQL databases (PostgreSQL, MongoDB, ElasticSearch, Redis).Comfortable working with Git, CI/CD tools, and modern development workflows. Exposure to containerization and orchestration tools (Docker, Kubernetes).A passion for building innovative, high-quality AI applications.The ability to work both independently and collaboratively as a team player. It is a bonus to have:Experience with Databricks/ Snowflake for large-scale data processing and analytics. Does this sound like you?Apply! We’ll get in touch and let you know the next steps.We expect the prorated salary for this role to be approximately $100,000 USD for the duration of the duration of the internship. The internship will be approximately 10 weeks starting in June of 2026 and concluding in August 2026. Representation at LazardLazard is an intellectual capital business committed to delivering the best advice and solutions to clients. To achieve these objectives, we focus on attracting, developing and retaining the best talent. We believe that a workforce comprised of people who represent a wide array of backgrounds, experiences and perspectives creates a rich variety of thought that empowers us to challenge conventional wisdom, solve problems creatively and make better decisions.Lazard was built on the premise that a multicultural firm can best serve a global clientele. As a global firm that has grown organically from local roots in different countries, we have a deep tradition of respecting and appreciating individual differences. Doing so has been core to our success for over 175 years. We are committed to sustaining an environment where every colleague is supported in their professional pursuits, can maximize their individual potential and contribute to our collective success.