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7 дней назад

Intern - Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Intern - Data Engineer (AWS/Databricks): Building and maintaining data pipelines and transforming data for analytics and application development with an accent on cloud technologies, data architecture, and scalable data solutions. Focus on contributing to AWS and Databricks workflows, automating manual processes, and collaborating on enterprise data needs.

Location: Hybrid from an office in Cedar Rapids, IA; Lake Saint Louis, MO; or Mandan, ND. Minimum three days per week must be worked from an office, with the ability to work up to five days per week onsite.

Company

hirify.global develops enterprise-level and customer-facing software solutions for utilities and broadband providers across North America.

What you will do

  • Assist in building and maintaining data pipelines for analytics and application development.
  • Contribute to data architecture using AWS and Databricks.
  • Gather, clean, and transform data from multiple sources.
  • Collaborate with software developers, data analysts, and product teams to understand data needs.
  • Participate in meetings, code reviews, brainstorming, documentation, and internal knowledge sharing.
  • Explore automation opportunities and use generative AI tools to improve productivity and problem-solving.

Requirements

  • High school diploma or equivalency.
  • Pursuing a bachelor’s degree or post-secondary education in data science or a related computer science field.
  • Familiarity with SQL and at least one programming language, such as Python, Java, or Scala.
  • Interest in AWS and big data technologies such as Spark or Databricks.
  • Strong problem-solving, communication, collaboration, adaptability, and attention-to-detail skills.
  • Ability to maintain professionalism, ethical conduct, confidentiality, and positive interactions with internal and external contacts.

Nice to have

  • Exposure to data pipeline tools such as Airflow or Hevo Data.
  • Experience with AWS S3, Lambda, or EC2.
  • Understanding of data warehousing or lakehouse concepts.
  • Familiarity with Git.

Culture & Benefits

  • Work on projects supporting real customers and enterprise-level data architecture.
  • Learn alongside experienced engineers and mentors.
  • Collaborate in a cooperative, mission-driven environment focused on integrity, innovation, teamwork, and personal development.
  • Potential for future full-time opportunities.

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