2027 Data Engineer Summer Internship

Socket.dev; New York (NY); On-site; USD 115,000 - 155,000; Part time

Job summary

Lazard's AI and Data Group seeks a Data Engineer Intern to onboard and model datasets on cloud data platforms, delivering reliable pipelines and high-quality data layers for analytics and ML workloads. You will interact with investment bankers and portfolio managers, contributing to end-to-end data solutions.

The role requires strong Python and SQL skills, Databricks experience, and familiarity with ETL/ELT, cloud platforms (AWS/Azure/GCP), and modern development workflows.

Qualifications

• Bachelor's or advanced degree in Computer Science, Data Engineering, or related field.
• Strong programming skills in Python and SQL.
• Hands-on experience building ETL/ELT pipelines.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with relational and NoSQL databases.
• Familiarity with data quality frameworks and data governance.

Responsibilities

• Onboard and model datasets on modern cloud data platforms.
• Deliver reliable pipelines and high-quality data layers for analytics, reporting, and ML/AI workloads.
• Collaborate with senior stakeholders and engineers to iterate from concept through deployment.
• Engage in end-to-end product development cycles with rapid feedback loops from users and data scientists.

Skills

Python

SQL

ETL/ELT

Databricks/Spark

Cloud platforms (AWS/Azure/GCP)

NoSQL databases

Data quality frameworks

Git

CI/CD

Containerization

Education

Bachelor's or advanced degree in Computer Science / Data Engineering

Tools

Databricks

Spark

Delta formats

Relational databases

NoSQL databases

Git

CI/CD tooling

Docker/Kubernetes

Job 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, collaborativecommunity 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 AI and Data Group brings together data scientists, data engineers, AI engineers, and software engineers to develop advanced AI and data-driven solutions that enhance decision-making across Lazard’s Financial Advisory and Asset Management businesses. The team delivers practical insights and technology that support client engagements, strengthen strategic partnerships, and help the firm remain competitive and efficient in a rapidly evolving financial landscape.

Operating as Lazard’s internal innovation engine, the group identifies opportunities to improve business processes through technology and develops solutions from end to end—from concept development and design through deployment, performance analysis, and continuous iteration.

The Data Engineer Intern will work within the AI & Data Team. The primary responsibility is to onboard and model datasets on modern cloud data platforms, delivering reliable pipelines and high-quality data layers that serve analytics, reporting, and ML/AI workloads. Team members at every level have meaningful agency throughout the product-development cycle, with direct interaction and rapid feedback loops from senior investment bankers in Financial Advisory and portfolio managers in Asset Management.

We’re all-in on the cloud and are a leader in the adoption of new technologies. Successful candidates should have a strong programming, machine learning, and problem-solving background.

Eligibility Criteria:

• Ability to start internship June 7, 2027 and end August 13, 2027
• Ability to be in NYC for the duration of the internship

In addition to above, we will also need to see:

• A Bachelors or advanced degree in Computer Science, Data Engineering, or a related field.
• Strong programming skills in Python and SQL.
• Working knowledge of Databricks (Delta formats, workflows, cataloging) or equivalent Spark platforms.
• Hands-on experience building ETL/ELT.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with relational and NoSQL databases.
• Experience with ‘Database as Code’ tools to version control data models.
• Well-versed with Data Quality check frameworks to ensure business stakeholders are delivered high-quality trustworthy data.
• Comfortable working with Git, CI/CD tools, and modern development workflows. Exposure to containerization and orchestration tools.
• A passion for building innovative, high-quality AI applications.
• The ability to work both independently and collaboratively as a team player.
• Interested in the finance industry, especially the investment banking or asset management divisions.

Does this sound like you?

We expect the prorated salary for this role to be approximately $135,000 USD for the duration of the duration of the internship. The internship will be approximately 10 weeks starting in June of 2027 and concluding in August 2027.

Representation at Lazard

Lazard 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.