Data Engineer | Enterprise Technology & Security Development Program

Citizens Bank•United States,

1h•Onsite

About The Position

Get ready to make your mark! Jumpstart your career through hands-on, impactful work, comprehensive training and development, and exposure to executive leadership, paving the way for a robust career at Citizens. We know that everything is driven by technology. At Citizens, we invest in the humans who build the logic, ideas and innovations that bring new technologies to life. It’s why we’ve made a substantial investment to build and support our in-house tech firm. In our Enterprise Technology & Security Development Program (ETSDP), you will help build next-generation services and collaborate with fintech partners on innovative solutions. Bring your whole self to work, including your passion for what’s possible and your critical thinking skills. Joining us on our transformation journey means you’ll get to reinvent what banking looks and feels like for millions of people! This program has a Start Date of June 28, 2027, and will be based out of one of our headquarters in Johnston, RI, Phoenix, AZ, or Plano, TX.

Requirements

Successfully complete a video interview assessment within 4 days of receiving the link.
Recently completed a bachelor’s degree in computer science, mathematics, statistics, engineering, or other technology-related degree.
Graduation date of Spring 2027
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

Previous professional exposure to data engineering.
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

Complete three different Data Engineer rotations across various teams within the business line.
Participate in meaningful, hands-on projects.
Leverage advanced analytics and big data techniques to derive valuable insights from enterprise data and deliver those insights back to stakeholders.
Filter, tag, join, parse, and normalize data sets.
Design ingestion mechanisms.
Create integrated views based on customer requirements.
Deepen expertise in modern cloud-native data platforms (AWS) and building high-scale batch and real-time data pipelines.
Advance skills in distributed data systems (Spark) and programming languages including Java, Python, and SQL.
Strengthen knowledge of data modeling, ETL/ELT pipelines (Snowflake Pipe, Kafka streaming, etc.), and data product engineering for structured and unstructured data.
Develop the ability to design and scale enterprise AI platforms supporting machine learning, predictive analytics, and generative/agentic AI workloads.
Gain hands-on expertise in LLM-based architectures, RAG, embeddings, vector databases, and agentic AI systems, including autonomous workflows, orchestration, and multi-agent patterns with real-world production deployment experience.
Increase capability to build and operate AI solutions at scale through APIs, microservices (FastAPI/Django), observability, and secure platform integration.
Spend the first 5 weeks together for onboarding, orientation, and our in-house Tech Made Ready Academy.
Participate in the Early Career Development Program (ECDP).
Experience a 4-day in-person event with bank-wide development program colleagues.
Participate in professional development workshops (including Presence & Presentation).
Engage in networking opportunities with senior leadership across all areas of Citizens.
Participate in dedicated community service activities to include direct service or skills-based volunteering to local organizations across our footprint.
Upon successful completion of the ETS Development Program, be placed on a team where you will continue to develop your Data Engineering career.