Data Engineer Intern

CORPORATE OVERVIEW

Headquartered in St.

Louis, Missouri with more than 1,200 employees and $1.5B in revenue, Alberici is a diversified construction company that partners with leading organizations throughout North America to build their most challenging and important projects.

Since our founding in 1918, Alberici earned a reputation for executing with quality, safety and trust.

Combined with our 100+ years of experience, we provide construction solutions to the automotive, commercial, civil, energy, food & beverage, healthcare, heavy industrial, industrial process, and water industries.

We build the critical structures that improve lives and strengthen communities.

Our mission is simple — and our approach to delivering on it is equally straightforward.

We are as open and honest with our employees and partners as we are with our clients.

We are here to work together to do the best work possible to bring this mission to life.

When it comes to our team, Alberici employees are built differently.

We seek the best and brightest and are committed to investing in our people and providing the training and resources they need to learn, grow, and advance.

Our Values:


* Working Safely


* Valuing Diversity


* Serving Humbly


* Executing with Integrity


* Solving Creatively


* Engaging Fully

POSITION SUMMARY

Essential Duties and Responsibilities include the following; however, other duties may be assigned.  The Company provides reasonable accommodations to qualified individuals with a disability, unless doing so poses an undue hardship on the Company.

To be a qualified individual, an employee must be able to perform each of the essential functions of his or her job with or without a reasonable accommodation.


* Assist with Data Pipelines: Help design, test, and maintain basic data pipelines that move and clean data for reporting and analytics.


* Work with Data Sets: Support the preparation and curation of medallion data sets (bronze, silver, gold layers) in Microsoft Fabric.


* Analytics Support: Collaborate with team members to ensure data is accurate and usable in dashboards, reports, and analysis.


* Data Quality: Assist with identifying and fixing data quality issues, such as missing values or inconsistent formats.


* Data Science Exposure:
+ Help prepare training datasets for machine learning projects.
+ Experiment with Python notebooks to explore data and build small models (e.g., classification, clustering).
+ Learn how data engineering supports AI/ML workflows.


* Visualization: Contribute to Power BI dashboards or simple visualizations that highlight business insights.


* Documentation: Document data pipelines, processes, and findings in a way that can be shared with the broader team.


* Collaboration: Work with data engineers, data scientists, and business analysts to support project deliverables.


* Travel to Company and subsidiary offices; offs...