Data Engineer Intern: Cloud Data & AI Experience

Citizens; Phoenix (AZ); Hybrid; USD 39,000 - 44,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Retirement benefits

Flexible work arrangements

Education reimbursement

Wellness programs

Paid time off above minimum

Job summary

Citizens invites a Data Engineer Intern to join the Enterprise Technology & Security Summer Internship Program. You will work with data engineers to build scalable data pipelines on AWS, learn Spark-based processing, and contribute to data products.

The 10-week program offers mentorship, exposure to senior leadership, and activities to develop professional skills, with potential paths to full-time opportunities after graduation.

Qualifications

• Pursuing a Bachelor’s degree in a technology-related field with a May 2028 graduation.
• Strong interest in data engineering, analytics, and big data concepts.
• Ability to work in a team and communicate effectively.

Responsibilities

• Gain exposure to cloud-native data platforms (AWS) and develop high-scale batch and real-time pipelines.
• Develop understanding of distributed data systems (Spark) and program in Java, Python, and SQL.
• Build knowledge of ETL/ELT pipelines (Snowflake Pipe, Kafka) and data product engineering.
• Understand enterprise AI platforms supporting ML, predictive analytics, and generative workloads.
• Explore LLM-based architectures, RAG, embeddings, vector databases, and multi-agent patterns.
• Contribute to AI solutions through APIs, microservices (FastAPI/Django), observability, and secure integration.

Skills

Spark

Java

Python

SQL

AWS

ETL/ELT

Data modeling

Education

Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or related field

Tools

Snowflake Pipe

Apache Kafka

Spark

Job description

Citizens invites a Data Engineer Intern to join the Enterprise Technology & Security Summer Internship Program. You will work with data engineers to build scalable data pipelines on AWS, learn Spark-based processing, and contribute to data products.

The 10-week program offers mentorship, exposure to senior leadership, and activities to develop professional skills, with potential paths to full-time opportunities after graduation.