2026 Fall Job Fair: Data Science Engineer

We only accept applications/resumes submitted online.  No recruiters.

Interested candidates should submit their resumes and a ½ page cover letter addressing the below topics with examples, in order to be considered for a role with the Company.

1. Do you see yourself as a star or a champion
2. How do you define “meeting expectations”
3. Where do you see yourself in 3-5 years

COMPANY:

For over 20 years, SBI Consultants has been an industry leader in engineering consulting.  The company offers technical, leadership, and advisory solutions, that are grounded in decades of experience.  The company acts as a trusted adviser to investors, non-profit organizations, public-private partnerships, and developers around the globe as they navigate the challenges inherent in complex construction projects. https://www.sbiconsultants.com/ 

JOB DESCRIPTION:

SBI Consultants is currently looking for a Data Science Engineer (DSE) to join our team.  

The Data Science Engineer supports the company’s ongoing data infrastructure transformation by helping implement and maintain a centralized data architecture that enables analytics-driven decision-making across the organization. This role blends technical expertise in data engineering and analytics with practical understanding of business operations, especially within the construction industry. 

The Data Science Engineer works closely with senior team members to design and optimize data systems, develop analytical models, and support AI/ML-driven initiatives.

DUTIES & RESPONSIBILITIES:

Data Architecture & Engineering: 

Assist in the design, implementation, and maintenance of a centralized multimodal database to support organizational business objectives

Build and optimize data pipelines for automated ETL processes across structured and unstructured data sources

Support continuous data ingestion for project lists, metadata, cost data, and schedule information

Contribute to defining and applying data governance frameworks, quality standards, and workflow protocols

Coordinate with project managers and engineers to ensure accurate, timely data collection and updates

Monitor database performance and report findings, issues and opportunities for optimization

AI/ML Development & Advanced Analytics:

Contribute to the development and deployment of AI models and machine learning algorithms for:

Complex querying of scope, quantities, costs, and schedules 

Value engineering optimization

Risk mitigations & predictive analytics

Support the creation of analytical models to evaluate costs, schedules, potential savings, and risk factors

Aid in developing of benchmarking tools segmented by sector and project type

Conduct historical data analysis to identify trends and patterns

Support strategic decision-making through data-driven insights

Business Intelligence & Visualization:

Maintain and enhance existing Power BI dashboards with rigorous quality controls

Support the design and implementation of portfolio-level dashboards with key performance indicators (KPIs)

Train internal staff on data literacy and dashboard utilization

Facilitate data analysis and support cross-functional teams in deriving actionable insights

Ensure timely and accurate project data visualization

Technology Support:

Research emerging data technologies, AI tools, and analytics platforms

Provide part-time support for projects and cost management activities as needed

Other ad hoc assignments

COMPETENCIES:

Ability to align data solutions to business objectives

Strong collaboration skills to work effectively with engineers, project managers, and executives

Problem-solving mindset with attention to data quality and accuracy

Commitment to continuous learning in rapidly evolving data technologies

COMPUTER/TECHNICAL SKILLS:

Data Engineering: 
-    Good understanding of data modeling, pipeline orchestration, and workflow automation 
-    Some Knowledge of relational and non-relational database architecture; structuring of data lakes
-    Understanding of data security and access control 
-    Proficient in data cleaning, transformation and ingestion techniques

Data Science: 
-    Data analysis
-    Visualization: Power BI skills; other Dashboarding experience a plus
-    Exposure to machine learning frameworks and LLM implementation 
-    Interpreting and communicating data insights
Programming languages: Proficiency in Python,  familiarity with C and SQLis desirable
Cloud Platforms: Working knowledge of one or more major cloud platforms (AWS, Azure, or Google Cloud)

QUALIFICATIONS:

Bachelor degree in Data Engineering, Data Science, Computer Science or related field from an accredited university.  Master degree preferred.

2 years of professional experience in data engineering, analytics, and AI/ML.

Experience assisting in AI/ML model development, testing, and deployment in production environments; recent exposure (within past 1-2 yrs) to modern AI technologies including LLMs.  

Experience building or contributing to data pipelines, ETL workflows and data architecture design.  

Demonstrated experience working with large-scale structured and unstructured datasets

Preferred but not required: Familiarity with construction industry data, cost estimating methodologies, and project management systems
Experience with construction-specific software and data structures
Understanding of project lifecycle data from planning through closeout

A Plus: Relevant professional certifications in cloud platforms, data engineering, or machine learning such as AWS Certified Solutions Architect or similar cloud platform certifications;  Microsoft Certified: Azure Data Engineer Associate;  Professional certifications in data science or machine learning (e.g., Google Professional Data Engineer)

COMMUNICATION SKILLS:       

This role requires close collaboration with cross-functional teams including engineering, project management, and executive leadership.  Excellent communication skills to translate complex technical concepts for non-technical stakeholders.  Ability to establish productive interpersonal working relationships and engage across all levels of the organization.

COMPENSATION:

Offered rate of compensation will commensurate with individual education, qualifications, experience, skills and work location.  

BENEFITS PACKAGE:

We strive to provide our employees with hybrid and flexible work environment within projects' constrains. This role requires employee to work from the office at least 4 days per week.

* Annual employee performance bonus & company profit sharing bonus;

* Professional Development allowance;

* Medical (100% paid for employee by company), Dental & Vision insurance;

* FSA/HSA;

* 401K & company profit sharing bonus;

* Commuter pre-tax;

* Life, AD&D, Short-, and Long-Term disability insurances;

* Employee Assistance Program (EAP) & HealthAdvocate;

* Voluntary Benefits - Accident, Critical Illness, Hospital Indemnity; Pet Insurance; Legal Plan;

* Generous Paid Time Off, Volunteer and Holidays package.

While performing the duties of this job, the employee is constantly required to sit and use hands to operate telephone, type and operate computer and mouse. The employee is frequently required to talk, hear and bend and twist neck. The employee may occasionally lift and/to move up to 10lb and rarely lift and/or move up to 25lb. Specific vision abilities required by this job include close and distant vision.