Data Engineer Intern: Cloud Analytics (Hybrid)

National-Information-Solutions-Cooperative-

St. Louis (MO)

Hybrid

USD 25,000 - 36,000

Part time

4 days ago
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Job summary

National Information Solutions Cooperative (NISC) seeks a Data Engineer Intern to join our Data Engineering team. You will gain hands-on experience building scalable data pipelines and working with AWS and Databricks on real projects supporting our enterprise software and data strategy.

The role is hybrid with offices in Cedar Rapids, IA and Lake Saint Louis, MO, requiring three days per week in the office and offering mentorship and collaboration across engineering, data analytics, and product

Qualifications

  • Familiarity with SQL and at least one programming language (Python, Java, or Scala).
  • Interest in cloud platforms (AWS) and big data tools like Spark or Databricks.
  • Exposure to data pipeline tools (Airflow, Hevo Data) preferred.
  • Experience with AWS services (S3, Lambda, EC2) preferred.
  • Understanding of data warehousing or lakehouse concepts preferred.
  • Familiarity with Git and version control preferred.

Responsibilities

  • Assist in building and maintaining data pipelines for analytics and app development.
  • Learn data architecture using AWS and Databricks.
  • Gather, clean, and transform data from various sources.
  • Collaborate with engineers, data analysts, and product teams.
  • Participate in code reviews, meetings, and brainstorming sessions.
  • Explore automating data workflows and documenting processes.

Skills

SQL
Python
Java
Scala
AWS

Education

Pursuing bachelor’s degree in data science or computer science

Tools

Databricks
Airflow
Git
AWS S3
Lambda
EC2

Job description

National Information Solutions Cooperative (NISC) seeks a Data Engineer Intern to join our Data Engineering team. You will gain hands-on experience building scalable data pipelines and working with AWS and Databricks on real projects supporting our enterprise software and data strategy.

The role is hybrid with offices in Cedar Rapids, IA and Lake Saint Louis, MO, requiring three days per week in the office and offering mentorship and collaboration across engineering, data analytics, and product

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