R&D Data Analytics, AI & Production Systems Intern

Seagate Technology

Normandale (AL)

On-site

USD 48,000 - 62,000

Full time

3 days ago
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Benefits offered by this job

Medical
Dental
Vision
12 paid holidays
Paid sick leave (minimum 48 hours)

Job summary

Seagate is offering a Summer 2027 Internship in R&D Data Analytics, AI and Production Systems. You will modernize Linux cluster management, build production dashboards, and prototype AI solutions translating natural language to SQL, while collaborating with R&D engineers and data analysts on data quality and observability.

You will work in a cross‑functional, high‑tech R&D environment on-site at Normandale, United States, continuing school into Fall 2027.

Qualifications

  • Programming experience in Python including data processing, automation, APIs or analytics applications.
  • Working knowledge of SQL with relational data concepts and performance‑aware access.
  • Experience using Linux for development, processing, or compute workloads.
  • Familiarity with Git version control, modular design, debugging, testing, and documentation.

Responsibilities

  • Modernize and improve the efficiency of Linux cluster management and data analytics production workflows.
  • Develop monitoring capabilities showing production data volume and flow, status, throughput, and resource use.
  • Analyze production workflows to identify bottlenecks, manual steps, and automation opportunities.
  • Design and implement dashboards, alerts, logs, and metrics for production health and data quality.
  • Prototype frontier AI solutions including LLM applications translating natural language to SQL.

Skills

Python
SQL
Linux
Data pipeline
Production monitoring
Software engineering
Git

Tools

Grafana
Prometheus
Power BI
Streamlit

Job description

Seagate is offering a Summer 2027 Internship in R&D Data Analytics, AI and Production Systems. You will modernize Linux cluster management, build production dashboards, and prototype AI solutions translating natural language to SQL, while collaborating with R&D engineers and data analysts on data quality and observability.

You will work in a cross‑functional, high‑tech R&D environment on-site at Normandale, United States, continuing school into Fall 2027.

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