Data Engineer Summer 2027 Intern | Enterprise Technology & Security Summer Internship Program

Citizens•Johnston, RI

6h•Onsite

About The Position

The Enterprise Technology & Security Summer Internship Program is a critical program within Enterprise Technology & Security Services that helps passionate early career professionals gain real-world exposure to groundbreaking technology. Data Engineer Interns work collaboratively with Data Engineers to pursue a broad range of initiatives. By using technical skills and a thirst for innovation, interns will leverage advanced analytics and big data techniques to derive valuable insights from enterprise data and deliver those insights back to stakeholders. This 10-week program provides mentorship, exposure to senior leadership, and participation in a variety of activities to further develop professional skills. High-performing interns interested in pursuing a career within Enterprise Technology & Security may be extended an offer to return as a Full-time colleague in our Enterprise Technology & Security Development Program (ETSDP) upon graduation.

Requirements

Successfully complete a video interview assessment within 4 days of receiving the link. If not completed within the timeframe, your application will be automatically withdrawn from consideration.
Currently pursuing a Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or other technology-related degree
Expected graduation date of May 2028
Minimum GPA 3.0
Experience working with raw as well as prepared datasets
Understanding of master data management principles and processes
Demonstrated ability to operate in a team environment, strong interpersonal and communication skills
Permanent work authorization in the United States is required. This position is not eligible for CPT, OPT, or visa sponsorship, now or in the future.

Nice To Haves

Practical experience/exposure to data engineering solutions gained through coursework, internships, or personal projects
Familiarity with ETL, ELT, Star Schema, Hadoop, Apache Spark, Beam, Flink, and/or message brokers/messaging platforms such as Apache Kafka
Understanding of the banking industry, specifically the functions of custodial and consumer banking

Responsibilities

Gain exposure to modern cloud-native data platforms (AWS) and the development of high-scale batch and real-time data pipelines.
Develop an understanding of distributed data systems (Spark) and strengthen programming skills in Java, Python, and SQL.
Build foundational knowledge of data modeling, ETL/ELT pipelines (Snowflake Pipe, Kafka streaming, etc.), and data product engineering for structured and unstructured data.
Develop an understanding of enterprise AI platforms that support machine learning, predictive analytics, and generative/agentic AI workloads.
Gain exposure to LLM-based architectures, RAG, embeddings, vector databases, and agentic AI systems, including autonomous workflows, orchestration, and multi-agent patterns.
Build experience contributing to AI solutions through APIs, microservices (FastAPI/Django), observability, and secure platform integration.