Data Engineer Intern — Cloud & Big Data (Hybrid)

NISC; Lake Saint Louis (MO); Hybrid; USD 28,000 - 48,000; Full time

Benefits offered by this job

Mentorship

Hands-on project experience

Job summary

NISC is seeking a Data Engineer Intern to join our dynamic Data Engineering team in a hybrid role. You will build and maintain data pipelines, learn data architecture on AWS, and collaborate across product teams to transform data into usable insights.

Ideal candidates are pursuing a bachelor’s in data science or computer science, comfortable with SQL and Python, and eager to work with cloud services, Databricks, and Spark in a real-world setting while contributing to documentation and process

Qualifications

• Familiarity with SQL and one programming language (Python/Java/Scala).
• Interest in cloud platforms (especially AWS) and big data tools like Spark or Databricks.
• Exposure to data pipeline tools (Airflow, Hevo Data), preferred.
• Experience with cloud services like AWS S3, Lambda or EC2, preferred.

Responsibilities

• Assist in building and maintaining data pipelines that support analytics and application development.
• Learn about and contribute to data architecture using AWS and Databricks.
• Help gather, clean, and transform data from various sources into usable formats.
• Collaborate with software developers, data analysts, and product teams to understand data needs.
• Participate in team meetings, code reviews, and brainstorming sessions.
• Explore opportunities to automate manual processes and improve data workflows.
• Contribute to documentation and internal knowledge sharing.
• Ensure information is entered and utilized in Confluence and/or the iVUE Support tool.
• Leverage generative AI tools to enhance productivity and problem-solving within the role.

Skills

SQL

Python/Java/Scala

AWS

Databricks/Spark

Airflow/ETL

Problem solving

Education

High School diploma

Pursuing Bachelor's in Data Science or CS

Tools

Databricks

Airflow

Git

AWS Services

Job description

NISC is seeking a Data Engineer Intern to join our dynamic Data Engineering team in a hybrid role. You will build and maintain data pipelines, learn data architecture on AWS, and collaborate across product teams to transform data into usable insights.

Ideal candidates are pursuing a bachelor’s in data science or computer science, comfortable with SQL and Python, and eager to work with cloud services, Databricks, and Spark in a real-world setting while contributing to documentation and process