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.
Are you Built for the Challenge?
Our values:
Working Safely
Valuing Diversity
Serving Humbly
Executing with Integrity
Solving Creatively
Engaging Fully
What We Offer:
- Profit-sharing plan, cash bonus programs and annual cost-of-living adjustments
- Generous salary increases and per diems for qualified out-of-town assignments
- Health, dental and vision insurance eligibility on day one
- Continuing education reimbursement
- Personalized career development and training programs
- Minimum of 29 days of PTO (including holidays) for entry-level roles
- Fitness center for St. Louis office-based team members
- Gym membership reimbursement for project-based team members
- Corporate office cafeteria access
- Employee Resource Group (ERG) opportunities
- Philanthropy opportunities
Summary
The Senior Data Engineer will lead the design, development, and maintenance of scalable data pipelines within our enterprise data lakehouse on Microsoft Fabric. This critical role will be at the forefront of sourcing, transforming, and curating data across the organization to power analytics and insights. The Senior Data Engineer will work closely with stakeholders to translate business requirements into reliable and scalable data solutions, driving key business decisions.
The ideal candidate will have deep expertise in data engineering, experience with advanced analytics, and a track record of building and optimizing data infrastructure to support business intelligence and machine learning initiatives. Strong communication and leadership skills are essential as the Senior Data Engineer will collaborate with cross-functional teams to define data strategies, resolve complex technical issues, and mentor junior engineers.
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.
- Develop & Optimize Pipelines: Lead the implementation of data pipelines and processes that create and maintain enterprise medallion data sets in a data Lakehouse architecture.
- Collaborate with Stakeholders: Work with data consumers (business and technical teams) to gather requirements for new data sets, ensure data products (dashboards, reports, tools) meet evolving needs, and enhance existing pipelines for better efficiency and performance.
- Troubleshoot & Innovate: Diagnose and resolve ETL issues, while proactively identifying opportunities to improve data pipeline monitoring, reliability, and scalability.
- Data Integration: Support the adoption and integration of golden datasets across applications, driving consistency in data usage throughout the organization.
- Data Quality & Governance: Partner with business users and data stewards to define and implement data cleansing rules and resolve quality issues within ETL pipelines.
- Support Analytics & Dashboards: Collaborate on enterprise-level dashboards in Power BI, ensuring high-quality data visualizations that drive decision-making.
- Custom Solutions: Create and maintain solutions for data capture through tools such as PowerApps, Python-based frameworks (Flask, Fast API), and other custom-built applications.
- Machine Learning & AI: Partner with data science project teams to prepare and engineer data for machine learning and AI initiatives, ensuring data availability and quality.
- Leadership & Mentorship: Provide technical guidance to junior team members, champion best practices in data engineering, and contribute to the platform roadmap by offering data-driven insights and innovation.
- Travel to Company and subsidiary offices; offsite client, subcontractor, and supplier meetings; and other locations across North America to fulfill the essential duties of the role as required.
- Regular and reliable attendance in person as required by Supervisor, Company guidelines, and/or project and office obligations.
Additional Duties and Responsibilities
- Models and reinforces safety as a top priority of the organization. Always wears a hard helmet and other appropriate personal protective equipment in the field.
- Ensures client satisfaction, both internally and externally, through efficient handling of issues.
- Performs other duties as assigned by the Supervisor.
Knowledge, Skills, and Abilities
- Technical Proficiency: Strong hands-on experience with SQL and NoSQL databases, Python (or PySpark), data modeling, and ETL frameworks.
- Data Infrastructure Expertise: Proven ability to architect, manage, and optimize data lakehouse environments, preferably within Microsoft Fabric.
- Analytics & Visualization: Experience using tools like Power BI or Tableau for data visualization, and a strong understanding of data-driven decision-making.
- Problem-Solving Mindset: Ability to analyze complex data challenges and design innovative, scalable solutions.
- Stakeholder Engagement: Demonstrated ability to work closely with business leaders and technical teams to deliver impactful data solutions.
- Additional Differentiators: Experience with machine learning pipelines, software development practices, and data capture frameworks like PowerApps, Flask, or FastAPI.
- Utilizes Microsoft Office-based applications and project management software systems appropriate for this role.
Education and Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
Alberici is a North American company with multiple Operating Companies:
Alberici Constructors, Inc., Alberici Constructors, LTD., Alberici Construcciones, BRC,
CAS Constructors, Filanc, Flintco, Hillsdale Fabricators, Kienlen Constructors, and WWPS
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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
