Data Engineer Intern

Alberici • Saint Louis, MO

82d

About The Position

Alberici is seeking a candidate to assist with various data-related tasks within the organization. The role involves supporting the design, testing, and maintenance of data pipelines, working with medallion data sets in Microsoft Fabric, and collaborating with team members to ensure data accuracy for reporting and analytics. The candidate will also assist in identifying and fixing data quality issues, prepare training datasets for machine learning projects, and contribute to data visualizations using Power BI. Regular attendance in person is required, and the role may involve travel to various company and client locations across North America.

Requirements

• Coursework or familiarity with SQL and one programming language (preferably Python).
• Interest in data engineering concepts such as ETL/ELT, data modeling, and cloud data platforms.
• Exposure to or interest in data science methods, including statistics, machine learning, or AI.
• Curiosity about data visualization tools (Power BI, Tableau, or similar).
• Problem-solving mindset and willingness to learn from real-world data challenges.
• Strong communication skills and the ability to work in a collaborative team environment.
• Utilizes Microsoft Office-based applications and project management software systems appropriate for this role.

Responsibilities

• 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 and experiment with Python notebooks to explore data and build small models.
• 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; offsite client, subcontractor, and supplier meetings; and other locations across North America as required.
• Regular and reliable attendance in person as required by your Supervisor, Company guidelines, and/or project and office obligations.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Heavy and Civil Engineering Construction
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees