Applied Analytics Engineer

Vulcan Materials Company-posted 25 days ago
Full-time • Mid Level
Birmingham, AL
5,001-10,000 employees
Mining (except Oil and Gas)
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We are seeking a highly analytical professional with 3-5 years of demonstrable experience to join our team as an Applied Analytics Engineer. The successful candidate will be responsible for the full-spectrum of technical work, with a primary emphasis on building, optimizing, and maintaining robust data pipelines that ingest, clean, and transform large, complex datasets for analytical readiness, and developing, rigorously testing, and deploying high-impact Machine Learning models into production systems for live use. The ideal candidate will translate complex business problems into measurable, scalable data solutions that drive strategic decision-making and business outcomes.

  • 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.
  • 5 years of experience with statistical and programming languages for data analysis, specifically Python (including PySpark, NumPy, Pandas, Scikit-learn) and SQL.
  • 5 years of demonstrable experience in a data-focused role encompassing data exploration, data cleaning, and data visualization. Experience with cloud platforms (AWS, Azure, GCP)
  • 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.
  • 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.
  • Great Company Culture. Our people share a competitive drive for excellence in an environment of trust, teamwork, open-mindedness and communication.
  • Safe. Industry leader in health and safety standards. We are committed to creating a safe work environment and protecting all employees and customers.
  • Meaningful Work. What sets up apart is the work we do impacts daily lives - and every employee contributes. Our aggregates produced are used to build roads, schools, hospitals, airports, and housing throughout the United States.
  • 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.
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