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6 дней назад

Tech & Data Program Summer 2027 – Data Engineer Intern (Charlotte)

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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TL;DR
Tech & Data Program Summer 2027 – Data Engineer Intern (Charlotte) (Python/SQL/Data Platforms): Building and supporting data pipelines and reliable data assets for analytics, reporting, automation, and AI-driven solutions with an accent on ETL/ELT, data quality, cloud platforms, and scalable data workflows. Focus on transforming structured and unstructured data, validating and monitoring pipeline performance, and developing data foundations for machine learning and generative AI use cases.

Location: Hybrid in Charlotte, NC, United States. Candidates must be authorized to work in the US without company sponsorship now or in the future.

Company

hirify.global is an insurance company investing in technology, data engineering, AI, analytics, and automation.

What you will do

  • Build and support data pipelines that ingest, transform, and prepare data for business and analytical use.
  • Work with structured and unstructured data for analytics, reporting, and AI-driven solutions.
  • Apply Python, SQL, ETL processes, and cloud technologies to develop reliable data assets.
  • Ensure data quality, consistency, and performance through profiling, validation, and monitoring.
  • Collaborate with cross-functional teams to deliver scalable data solutions.
  • Use AI tools such as Copilot to improve productivity and support advanced analytics and machine learning solutions.

Requirements

  • Undergraduate or graduate student graduating in May 2028 with a Bachelor's or Master's degree and a GPA of 3.0 or higher.
  • Degree in Computer Science, Engineering, IT, Management Information Systems, Data Analytics, Applied Mathematics, or another STEM-related field.
  • Strong analytical, problem-solving, critical-thinking, communication, collaboration, and interpersonal skills.
  • Ability to analyze complex problems using structured thinking and logical reasoning.
  • Commitment to ethical judgment and responsible data use.
  • US work authorization without current or future company sponsorship is required.

Nice to have

  • Exposure to Python, SQL, PL/SQL, ETL/ELT, data transformation, data profiling, data quality, and data modeling.
  • Familiarity with Snowflake, GitHub, relational databases, and data warehouse concepts.
  • Exposure to AWS, Azure, or Google Cloud.
  • Familiarity with Tableau, dashboards, reporting, data mining, business intelligence, AI/ML concepts, generative AI tools, LLMs, or NLP.
  • Exposure to Agile teams, sprint delivery, or collaborative product-based work.

Culture & Benefits

  • Inclusive and collaborative environment centered on integrity, innovation, and customer focus.
  • Mentorship, coaching, feedback, continuous learning, and self-directed development opportunities.
  • Networking, volunteerism, and employee engagement activities with peers and organizational leaders.
  • Hands-on experience supporting data solutions in the insurance industry.
  • High-performing interns may be considered for future full-time opportunities in Technology and Data.

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