Intern - Data Engineer
NISC•Lake Saint Louis, MO
•Hybrid
About The Position
We’re looking for a Data Engineer Intern to join our dynamic Data Engineering team. This internship is a great opportunity for students who are passionate about data, cloud technologies, and building scalable data solutions. You’ll gain hands-on experience working alongside experienced engineers on real-world projects that support our enterprise software and data strategy. To Learn more about NISC's internships, click HERE. Current applications submitted will be under consideration for Summer 2027 (May - August)
Requirements
- Familiarity with SQL and at least one programming language (e.g., Python, Java, or Scala)
- Interest in cloud platforms (especially AWS) and big data tools like Spark or Databricks
- Strong problem-solving skills and a willingness to learn new technologies
- Ability to work both independently and collaboratively in a team environment
- Strong problem solving skills and attention to detail.
- Strong verbal and written, interpersonal, and communication skills.
- Ability to effectively adapt to change.
- Ability to interact in a positive manner with internal and external contacts.
- Ability to maintain the highest level of professionalism, ethical behavior, and confidentiality.
- Commitment to NISC's Statement of Shared Values.
Nice To Haves
- Exposure to data pipeline tools (e.g., Airflow, Hevo Data), preferred
- Experience with cloud services like AWS S3, Lambda, or EC2, preferred
- Understanding of data warehousing or lakehouse concepts, preferred
- Familiarity with version control systems like Git, 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
- Ensures that all information is appropriately entered and utilized in Confluence and/or the iVUE Support tool
- Leverage generative AI tools and technologies to enhance productivity, creativity, and problem-solving within the scope of the role
Benefits
- Work on meaningful projects that impact real customers
- Learn from experienced engineers and mentors
- Gain exposure to enterprise-level data architecture and tools
- Be part of a collaborative, mission-driven culture
- Potential for future full-time opportunities
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What This Job Offers
Career Level
Intern
Education Level
High school or GED
