Summer Undergraduate Intern, Data Engineering & AI

About the Agency:

The New York City Department of Housing Preservation Development (HPD) promotes quality and affordability in the city's housing, and diversity and strength in the city’s neighborhoods because every New Yorker deserves a safe, affordable place to live in a neighborhood they love.

- We maintain building and resident safety and health
- We create opportunities for New Yorkers through housing affordability
- We engage New Yorkers to build and sustain neighborhood strength and diversity.

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Your Team:

Housing Preservation & Development Technology (HPD Tech) is the IT division within HPD. The Office of HPD
Tech leads the agency’s effort to transform HPD through technology by promoting productivity and eliminating
manual processing, shrinking costs, and increasing the pace of work. HPD Tech works to improve effectiveness of
business processes using core applications for flawless execution. HPD Tech empowers decision makers with access
to quality (complete and accurate) information to anticipate and pro-actively react to building, neighborhood and
market conditions.

The Office of HPDTech is composed of 7 units: CIO (Chief Information Office), CTO (Chief Technology Office),
CPO (Chief Product Office), Budget, Enterprise Architecture, Planning & Compliance, and Information Security.

Your Impact:

As the Data Engineering and Artificial Intelligence Intern for the Division of HPD Tech, you will learn how large-
scale data systems and AI solutions are built and used in real-world environments.

Your Role:

The intern will work alongside experienced engineers and Developers on projects involving data pipelines, analytics,
and introductory AI/ML applications.

Your Responsibilities:

Data Engineering Support
- Assist in building and maintaining basic data pipelines (ETL processes).
- Write and optimize SQL queries to extract and analyze data.
- Help clean, validate, and transform datasets for analytics and reporting.
- Support documentation of data flows and data definitions. AI / Machine Learning Support
- Assist with data preparation and feature engineering for AI/ML models.
- Perform exploratory data analysis using Python.
- Help test and evaluate basic machine learning models.
- Support visualization and reporting of model results.

Preferred skills:

- Currently pursuing a bachelor’s degree in:
o Computer Science
o Data Science
o Information Technology
o Engineering or related field
- Coursework or hands-on experience with:
o Python or another programming language
o SQL
o BI Tools such as Power BI, Tableau, etc.
- Basic understanding of data concepts and databases.
- Interest in data engineering, analytics, and AI/ML.
- Exposure to machine learning concepts through coursework or projects.
- Familiarity with tools such as pandas, NumPy, or scikit-learn.
- Familiarity with BI tools such as Power BI, Tableau
- Experience with Git or other version control tools.
- Understanding of cloud platforms (AWS, Azure, or GCP) is a plus.
- Strong Excel or data visualization skills.
- Strong problem-solving and analytical skills
- Willingness to learn new technologies
- Good communication and teamwork skills
- Attention to detail and data quality
- Ability to manage time and prioritize tasks

Authorization to work in the United States is required for this position. The NYC Department of Housing Preservation and Development does not provide sponsorship for international employees for visa applications, extensions, or status changes, including H-1B visas. Applicants are responsible for ensuring that they meet all qualifying requirements for this position at the time of application.

SUMMER COLLEGE INTERN - 10234

As of June of the Program year the prospective intern must be a student matriculated in a college or be a recent college graduate (winter/spring term of the Program year).
NOTE: Appointment to this title is only valid for the duration of the Program, June - August each year.

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.