Vulcan Materials Company · 16 hours ago
Applied Analytics Engineer
Irving, TX
Full-time
Onsite
Mid, Senior Level
3+ years expVulcan Materials Company is the nation’s largest producer of construction aggregates and a major producer of aggregates-based construction materials. The Applied Analytics Engineer will be responsible for building, optimizing, and maintaining data pipelines and developing machine learning models to drive strategic decision-making and business outcomes.
ChemicalConstructionManufacturingMineralMining TechnologyProperty DevelopmentReal EstateRenewable Energy
Responsibilities
Design, build, and rigorously validate machine learning and statistical models (including regression, classification, clustering, and ensemble methods) for predictive and prescriptive analytics
Use deep analytical skills and data science knowledge to address complex, real-world business challenges and drive measurable impact
Analyze large amounts of information to discover critical trends and patterns. Apply the scientific method to design experiments, formulate hypotheses, and conduct rigorous testing
Apply expertise in natural language processing (NLP) and text mining techniques where applicable
Design, build, and maintain robust and scalable data pipelines to process, transform, and organize large, complex datasets from disparate sources. Identify, assess, and integrate valuable data sources, developing automated processes for continuous data collection and ingestion
Undertake meticulous preprocessing, cleansing, and transformation of large structured and unstructured datasets to ensure data quality, usability, and accuracy for modeling
Apply understanding of data management and data engineering principles to maintain scalable data architecture
Design dimensional data models using methodologies to ensure enterprise data consistency
Contribute to team efforts, including taking on new tasks as assigned by the supervisor
Assist with special projects as needed to support departmental goals
Handle cross-functional support duties, such as helping other departments with specific projects when required
Qualification
Required
3–5 years of demonstrable experience in a data-focused role encompassing data exploration, data cleaning, and data visualization
5 years of experience with statistical and programming languages for data analysis, specifically Python (including PySpark, NumPy, Pandas, Scikit-learn) and SQL
Practical experience with big data processing frameworks such as Spark or similar distributed computing environments
Extensive experience developing predictive data models, quantitative analyses, and visualization of large data sources, including both structured and unstructured data
Experience leading or significantly contributing to the development of complex data solutions
Basic idea or hands on with Tableau or similar data visualization tools/stacks
Design, build, and rigorously validate machine learning and statistical models (including regression, classification, clustering, and ensemble methods) for predictive and prescriptive analytics
Use deep analytical skills and data science knowledge to address complex, real-world business challenges and drive measurable impact
Analyze large amounts of information to discover critical trends and patterns
Apply the scientific method to design experiments, formulate hypotheses, and conduct rigorous testing
Apply expertise in natural language processing (NLP) and text mining techniques where applicable
Design, build, and maintain robust and scalable data pipelines to process, transform, and organize large, complex datasets from disparate sources
Identify, assess, and integrate valuable data sources, developing automated processes for continuous data collection and ingestion
Hands-on expertise in data management, programming, and processing large data volumes using technologies such as Python, SQL, and PySpark
Undertake meticulous preprocessing, cleansing, and transformation of large structured and unstructured datasets to ensure data quality, usability, and accuracy for modeling
Apply understanding of data management and data engineering principles to maintain scalable data architecture
Design dimensional data models using methodologies to ensure enterprise data consistency
Contribute to team efforts, including taking on new tasks as assigned by the supervisor
Assist with special projects as needed to support departmental goals
Handle cross-functional support duties, such as helping other departments with specific projects when required
Preferred
Hands-on experience with MLOps, Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, and release management processes
Hands-on experience with Snowflake, JIRA or ServiceNow
Design and implement data-grounded AI agents using large language models (LLMs) and specialized toolkits (e.g., LangChain, agent frameworks) to automate complex decision-making and data querying workflows
Familiarity with project management principles and best practices
Benefits
Health Benefits. Medical, Dental, Vision programs, plus much more.
Rest and Relaxation. Paid vacation, personal floating days, and paid holidays.
Prepare for the Future. 401(k) with company match and contribution.
Training and Development. We see our development programs and helping our employees meet their goals as a key part of our business.
Company
Vulcan Materials Company
Vulcan Materials Company is a producer of construction aggregates, primarily crushed stone, sand and gravel.
5001-10000 employees
H1B Sponsorship
Vulcan Materials Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (3)
2023 (6)
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-31IPO
Leadership Team
Ronnie Pruitt
Chief Executive Officer
Jerry Perkins Jr.
Senior Vice President - Southwest and Southern & Gulf Coast Divisions
Recent News
2025-11-03
2025-10-31
PR Newswire
2025-10-31
Company data provided by crunchbase