Data Engineer Intern - Onsite ETL & Data Integration

Vermeer

Pella (IA)

Hybrid

USD 17,000 - 23,000

Full time

5 days ago
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Job summary

Vermeer is seeking an IT Data Engineer Intern in Pella, IA to support data integration efforts on a first-shift schedule. You will analyze data workflows, engage with developers, and ensure data quality and security across ETL processes.

You will work as part of a team that values learning, agility, and a strong attention to detail while supporting data integration projects in a corporate IT environment.

Qualifications

  • High School diploma or equivalent required.
  • Currently pursuing a bachelor's degree in Computer Science, Data Engineering, Data Science, Informatics or related field.
  • Ability to validate data from various web services and integration technologies (REST, XML/JSON, SOAP, ETL).
  • Knowledge of relational databases, SQL, data modeling and data warehouses.
  • Strong attention to detail.

Responsibilities

  • Analyze data ingestion, transformation, and loading (ETL) techniques for accuracy.
  • Understand business requirements and collaborate with integration developers using Agile.
  • Follow data security standards and protect personally identifiable information.
  • Ensure data activities meet requirements and data integrity best practices.
  • Test and diagnose developed integrations for defects.
  • Participate in project planning and review functional specs.

Skills

ETL techniques
SQL queries
REST
XML/JSON/SOAP
Relational databases
Data modeling
Data warehouses
Agile methodologies
Data validation
Attention to detail

Education

Bachelor's degree in Computer Science or related field

Job description

Vermeer is seeking an IT Data Engineer Intern in Pella, IA to support data integration efforts on a first-shift schedule. You will analyze data workflows, engage with developers, and ensure data quality and security across ETL processes.

You will work as part of a team that values learning, agility, and a strong attention to detail while supporting data integration projects in a corporate IT environment.

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