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Talent Acquisition Data Engineering & Analytics Graduate Intern

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Solidigm
Apprenticeship/Internship position
Listed on 2026-09-16
Job specializations:
  • IT/Tech
    Business Intelligence, Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 20 - 30 USD Hourly USD 20.00 30.00 HOUR
Job Description & How to Apply Below

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas.

Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions.

You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization.

We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Job Description

We are seeking a graduate-level intern to join our Talent Acquisition (TA) team as a Talent Acquisition Data Engineering & Analytics Intern. This role is designed for a highly motivated individual who wants hands‑on experience building and analyzing TA metrics that influence business decisions at a global scale. The intern will learn how to extract, transform, and visualize data from multiple HR and business systems while contributing to the foundation of our global TA reporting function.

The Talent Acquisition Data Engineering & Analytics Intern will build the production reporting layer for Talent Acquisition. This internship is designed for a technically strong graduate student who wants to own the full path from raw recruiting data to automated, leadership‑facing dashboards.

The intern will establish Snowflake connectivity and automated data refresh, build a query‑ready data model, and develop a complete Power BI dashboard suite covering all Talent Acquisition metrics. The intern will work directly with Talent Acquisition leadership and collaborate with the teams responsible for Smart Recruiters, Workday, Jira, Service Now, and Snowflake.

This internship focuses on data engineering, data modeling, dashboard development, and reporting automation, rather than operational recruiting activities.

Key Responsibilities
  • Establish and validate connections between Talent Acquisition source systems and Snowflake, partnering with Data Engineering and IT.
  • Configure Power BI connectivity and scheduled refresh so dashboards update automatically without manual data pulls.
  • Implement data quality checks and refresh monitoring so reporting issues surface before leadership sees them.
  • Build a query‑ready dimensional data model in Snowflake supporting recruiting requisition, funnel, and hiring activity analytics.
  • Write and optimize SQL transformations that turn raw source system data into analysis‑ready tables, including…
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