Talent Acquisition Data Engineering & Analytics Graduate Intern

Solidigm is a global technology company focused on innovative memory and data storage solutions. The company seeks a graduate-level Talent Acquisition Data Engineering & Analytics Intern to build data pipelines, models, automated reporting, and Power BI dashboards for global Talent Acquisition metrics. The role involves partnering with Talent Acquisition leadership, Data Engineering, IT, and HR systems teams to deliver analytics infrastructure and insights.

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 historical and point-in-time reporting such as requisition status history and pipeline snapshots
• Develop a full Power BI dashboard suite covering the Talent Acquisition metrics framework, including executive summary, requisition and pipeline health, funnel conversion, time-to-fill and time-in-stage, offer metrics, sourcing effectiveness, recruiter workload, and TA operational SLA metrics
• Build a governed semantic model with certified DAX measures so metrics are defined once and consumed consistently across all reporting
• Implement row-level security and optimize model performance at full data volume
• Produce implementation-ready documentation covering pipeline architecture, data lineage, model diagrams, measure definitions, and a refresh and troubleshooting runbook
• Create end-user guides and deliver enablement sessions for TA Operations and HR leadership
• Partner with Talent Acquisition leadership to prioritize requirements, translate business questions into measurable metrics, and present dashboard walkthroughs and insights

Requirements:

• • Currently pursuing a graduate degree in Data Analytics, Data Science, Data Engineering, Computer Science, Information Systems, or a related field
• • Strong proficiency in SQL, including joins, aggregations, window functions, and query optimization
• • Hands-on experience building dashboards in Power BI, including DAX measures and data modeling
• • Experience with Python or R for data extraction, transformation, and analysis
• • Working knowledge of dimensional data modeling and dataset design principles
• • Familiarity with ETL/ELT concepts and building or maintaining data pipelines
• • Ability to translate ambiguous business questions into structured, measurable analytics requirements
• • Applicants must be authorized to work in the United States without the need for current or future visa sponsorship
• • Candidates should be comfortable working with confidential candidate and employee data in accordance with Solidigm data privacy and handling standards
• Internship Length = 6 months, part-time basis (20 hours per week)
• • Hands-on experience with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks)
• • Experience configuring automated refresh, scheduled jobs, or orchestration tooling (dbt, Airflow, Azure Data Factory)
• • Experience with Power BI Service administration: workspaces, gateways, deployment pipelines, or row-level security
• • Experience with APIs or system-to-system data integrations
• • Experience with large datasets in cloud environments (Azure, AWS, or GCP)
• • Exposure to version control (Git) and analytics engineering practices
• • Familiarity with AI/ML techniques and interest in applying them to workforce data
• • Passion for HR, Talent Acquisition, or workforce analytics and how data informs business strategy
• • This role is eligible for remote work, with a strong preference for candidates in the Pacific, Mountain, or Central time zone
• Location = Flexible to be remote or hybrid if local to a Solidigm worksite