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Associate Data Engineer

80 000 - 88 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Data Engineer (Data Platforms/Cloud): Building data solutions and supporting client projects through AHEAD’s Digital Solutions Group with an accent on programming, SQL and NoSQL data structures, and cloud platforms. Focus on completing technical training, working with platforms such as Spark, Databricks, Hadoop, or Snowflake, and solving complex problems in client-facing consulting engagements.

Location: Chicago, Illinois; hybrid workplace. Willingness to travel 50% or more to support client projects and shadowing opportunities.

Salary: $80,000–$88,000 per year in on-target earnings, including base salary and any applicable target bonus.

Company

hirify.global builds platforms for digital business by combining cloud infrastructure, automation, analytics, and software delivery for enterprise digital transformation.

What you will do

  • Complete a three-month technical training program within the Digital Solutions Group’s Data practice.
  • Contribute to client data projects after completing the LAUNCH program.
  • Collaborate across teams, communicate effectively, and build positive working relationships.
  • Analyze issues, solve complex problems, and recommend innovative technology solutions.
  • Manage competing priorities and deliver project work on schedule.

Requirements

  • Experience with at least one programming language, such as Python, Java, Scala, or Go.
  • Working knowledge of SQL and NoSQL databases and supporting data structures.
  • Existing U.S. work authorization is required; visa sponsorship is not available.
  • Willingness to travel 50% or more for client projects and shadowing opportunities.
  • Technical degree completed by January 11, 2027, a technical bootcamp, or relevant intern, co-op, research, or application development experience.

Nice to have

  • Understanding of Hadoop, Spark, Databricks, Snowflake, or another data platform.
  • Working knowledge of cloud solutions.

Culture & Benefits

  • Three-month LAUNCH development program with technical training, certifications, shadowing, and exposure to different career paths.
  • Opportunities for cross-department training and continued professional development.
  • Medical, dental, and vision insurance.
  • 401(k), paid company holidays, paid time off, and paid parental and caregiver leave.
  • Inclusive workplace focused on diverse perspectives and belonging.

Hiring process

  • Parts of the hiring process may use AI tools to review applications, resumes, interview responses, recordings, or transcripts.
  • Final hiring decisions are made by people, and candidates may opt out of AI-based application or interview analysis.

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