Talent Acquisition Data Engineering & Analytics Intern

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $50 / hour

⏱ Part Time

⚪️ Entry-level

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Solidigm

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2021

🏭 Manufacturing

💼 Consulting

🔧 Hardware

Manufacturing • Consulting • Hardware

Solidigm is a leading provider of high-performance data storage solutions, tailored for the AI era. The company specializes in developing ultra-fast storage solutions designed to tackle demanding workloads and enhance AI data pipelines. Solidigm's portfolio includes products like data center SSDs, PCIe SSDs, and innovative storage technologies optimized for both edge and core applications. Their storage solutions are aimed at revolutionizing data management, allowing for instantaneous data movement and improved computational efficiency. As a trademark of SK hynix NAND Product Solutions Corp. , Solidigm is committed to advancing the limits of storage technology and aiding businesses in deploying their critical data more effectively.

📋 Description

• Establish and validate connections between Talent Acquisition source systems and Snowflake with Data Engineering and IT • Configure Power BI connectivity and scheduled refreshes • Implement data quality checks and refresh monitoring • Build a query-ready dimensional data model in Snowflake for requisition, funnel, and hiring activity analytics • Write and optimize SQL transformations for analysis-ready tables and historical or point-in-time reporting • Develop a comprehensive Power BI dashboard suite covering executive summaries, requisition and pipeline health, funnel conversion, time-to-fill, time-in-stage, offer metrics, sourcing effectiveness, recruiter workload, and operational SLA metrics • Build a governed semantic model with certified DAX measures • Implement row-level security and optimize model performance at full data volume • Produce documentation covering pipeline architecture, data lineage, model diagrams, measure definitions, and refresh/troubleshooting procedures • 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 metrics, and present dashboard walkthroughs and insights • Deliver an operational Snowflake data pipeline, dimensional data model, Power BI dashboard suite, governed semantic model, automated refresh monitoring, documentation, enablement materials, and an analytics roadmap

🎯 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 • Comfortable working with confidential candidate and employee data in accordance with Solidigm data privacy and handling standards • Preferred: hands-on experience with Snowflake or a comparable cloud data warehouse • Preferred: experience configuring automated refresh, scheduled jobs, or orchestration tooling such as dbt, Airflow, or Azure Data Factory • Preferred: experience with Power BI Service administration, including workspaces, gateways, deployment pipelines, or row-level security • Preferred: experience with APIs or system-to-system data integrations • Preferred: experience with large datasets in Azure, AWS, or GCP • Preferred: exposure to Git and analytics engineering practices • Preferred: familiarity with AI/ML techniques and interest in applying them to workforce data • Preferred: passion for HR, Talent Acquisition, or workforce analytics

🏖️ Benefits

• Remote work eligibility • Flexible remote or hybrid arrangement if local to a Solidigm worksite • Part-time schedule of 20 hours per week • Six-month internship • Opportunity for hands-on experience with global Talent Acquisition data engineering and analytics • Enablement and professional development through documentation and training sessions