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Part-Time Student - Software Engineering​/Cyber Security - Ames, IA

Job in Ames, Story County, Iowa, 50011, USA
Listing for: Deere
Part Time, Apprenticeship/Internship position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Responsibilities

Design, develop, test and integrate data solution of medium complexity;
Participates in evaluation and implementation of design solutions to improve cost, quality and performance of data applications;
Provides technical direction to team members in order to solve complex design/production problems;
Coaches and Mentors Junior Team members on technical front;
Serve as an advocate for data best practices and data management discipline, policies, and standards;
Demonstrates strong collaboration skills across teams and business stakeholders across products;
Follows Agile software design methodology for software configuration and development;
Maintains system documentation and keeps it relevant as needed.

Qualifications
  • Bachelor s degree in Computer/Software Engineering, Computer Science, or equivalent fields
  • Advanced English: a broad vocabulary, good grammar, and the ability to lead meetings, argue, negotiate, and conduct trainings
  • Experience in developing, testing, and maintaining complex architectures tools such as AWS, Spark and Databricks.
  • Experience in Design and implement data pipelines, ETL processes, and data storage solutions that support data-intensive applications
  • Experience Java/Python, Data structure and Algorithms
  • Experience in cloud development with the AWS platform
  • Implementation experience of engineering practices like TDD, Dev Sec Ops , Software automation, CI/CD.
  • Strong understanding of Agile and XP practices
  • Excellent problem-solving and critical-thinking abilities.
  • Strong communication skills to convey technical concepts to non-technical stakeholders.
  • Ability to work independently and as part of a team in a fast-paced environment.
  • Experience in implementing machine learning models;
    Ability to explore emerging frameworks, technology and tools and plan technical implementation.
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