Talent Acquisition Data Engineering & Analytics Graduate Intern

Solidigm; United States; On-site; USD 34,440,000 - 48,216,000; Full time

Job summary

Solidigm is seeking a graduate-level Talent Acquisition Data Engineering & Analytics Intern in the United States. You will build a production reporting layer, establish Snowflake connections, and develop a full Power BI dashboard suite for TA metrics.

You will work with leadership and cross-functional teams including Snowflake, Workday, and Jira. The internship focuses on data engineering, data modeling, dashboard development, and reporting automation, offering hands-on experience from raw data

Qualifications

• Graduate student in data analytics, data science, data engineering, CS, or related field.
• Strong SQL skills with joins, aggregations, window functions, and optimization.
• Experience building dashboards in Power BI with DAX and data modeling.
• Experience with Python or R for data extraction, transformation, and analysis.
• Knowledge of dimensional data modeling and dataset design principles.
• Familiarity with ETL/ELT concepts and data pipelines.
• Ability to translate ambiguous business questions into structured analytics requirements.

Responsibilities

• Establish Snowflake connections to TA source systems with Data Engineering and IT.
• Configure Power BI connectivity and scheduled refresh for automated dashboards.
• Implement data quality checks and monitoring to surface issues early.
• Build a query-ready dimensional model in Snowflake for TA analytics.
• Write SQL transformations to produce analysis-ready tables with history and snapshots.
• Develop a full Power BI dashboard suite covering TA metrics and governance.
• Create end-user guides and enablement sessions for TA Operations and HR leadership.

Skills

SQL proficiency

Power BI dashboards

Python or R

Dimensional data modeling

ETL/ELT concepts

translating analytics requirements

Education

Graduate degree in data analytics / data science / data engineering / CS / information systems

Tools

Snowflake

dbt

Airflow

Azure Data Factory

Power BI Service

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 SmartRecruiters, Workday, Jira, ServiceNow, 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 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.

Example Internship Deliverables

• Operational Snowflake data pipeline supporting Talent Acquisition reporting.
• Dimensional data model deployed in Snowflake.
• Complete Power BI dashboard suite covering the Talent Acquisition metrics framework.
• Governed semantic model with certified, documented measures.
• Automated refresh configuration with monitoring and data quality validation.
• Technical documentation, refresh runbook, and end-user enablement materials.
• Recommended roadmap for future Talent Acquisition analytics development.

Qualifications

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.

Preferred Qualifications

• 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.

Applicants must be authorized to work in the United States without