Data and Analytics Intern

Estimated compensation is $15 - $20 hourly

This position is required to be on-site, Monday through Friday.

NO STAFFING AGENCY CANDIDATES WILL BE CONSIDERED FOR THIS POSITION

Applicants must be eligible to work in the United States without visa sponsorship now or in the future

Tutor Perini Corporation is seeking a Data and Analytics Intern to join our office in Sylmar, CA.

About Tutor Perini Corporation

Extraordinary Projects, Exceptional Performance

Tutor Perini Corporation is a leading civil, building, and specialty construction company that believes integrity, teamwork, and a collaborative approach are fundamental to our business success.

Extraordinary projects demand a strategic and intelligent approach, finely honed through more than a century of real-world experience. They demand the relentless intensity of people who know the stakes are incredibly high. And they demand a team that understands mutual trust and integrity are necessary to execute massive undertakings on near-impossible deadlines.

From coast to coast, notable projects include The Purple Line (D Line) Extensions in Los Angeles, SR 99 Viaduct replacement tunnel in Seattle, East Side Access projects and the Hudson Yards Platform in New York, Central Subway Third Street Light Rail in San Francisco, and multiple airport expansions and bridge projects.

Extraordinary Projects Need Exceptional Talent

Description

The Data & Analytics Intern will support key initiatives within Tutor Perini’s DART (Data, AI, and Reporting Technologies) program. The intern will be engaged across data engineering, AI, documentation, and Power BI report development efforts. This role offers a hands-on opportunity to work with modern data tools and platforms in a collaborative, real-world environment focused on construction and infrastructure. Interns will work approximately 30 hours per week.

Interns May Be Assigned To One Or More Of The Following Tracks Based On Their Interests And TPC’s Project Needs

Track 1: Data Engineering & AI

• Support the development, testing, and optimization of ETL/ELT data pipelines.
• Assist in integrating datasets into Fabric environments like OneLake for downstream use in Power BI and analytics.
• Design and develop custom data Agents using tools like Microsoft AI Studio.

Track 2: Data Documentation & Metadata

• Catalog priority datasets across business units using TPC’s metadata tools.
• Populate and standardize metadata fields, lineage, glossary entries, and ownership details.
• Support data governance goals by contributing to an enterprise-wide metadata library.

Track 3: Report Design & Visualization

• Create, refine, and document impactful Power BI dashboards aligned with business KPIs.
• Work with business users to gather requirements, test visualizations, and iterate on design.
• Promote self-service analytics through clean, intuitive, and well-documented reporting solutions.

Requirements

• Currently pursuing a Bachelor’s degree in Data Analytics, Computer Science, Mathematics, or a related field.
• Basic proficiency one of the following: Python, Spark, or similar scripting language.
• Some familiarity with tools like Power BI, Excel, and/or data visualization principles.
• Strong analytical mindset and attention to detail; ability to manage tasks with minimal supervision.
• Interest in or exposure to cloud platforms like Microsoft Fabric, including tools such as Data Factory, Synapse, or Fabric.
• Strong written and verbal communication skills.
• A collaborative and curious mindset — eager to learn and contribute across projects.

Preferred Skills

• Experience or coursework related to data lakehouse architecture.
• Exposure to metadata tools such as Microsoft Purview, Alation, or Collibra.
• SQL and Power BI proficiency including DAX, M-Query, data modeling, and report UX best practices.
• Interest in construction technologies, infrastructure systems, or large-scale project management.

Tutor Perini builds extraordinary projects, and we need exceptional talent. Join us, and together we will build the future.

Equal Opportunity Employer