Data Engineer - Databricks (No Sponsorship Available)

Build Your Career at Heritage Construction + Materials! We are seeking a highly skilled Data Engineer to support the design, development, and implementation of our cloud data platform. This role is ideal for a Data Engineer who has experience in Databricks, cloud architecture, advanced data pipeline engineering, and building scalable, production‑ready systems that support analytics, and enterprise‑wide decision intelligence, with a potential to build and support AI/ML in the future. In this role, you will architect cloud data solutions, optimize data operations, and guide the evolution of our modern data ecosystem. You will work closely with cross‑functional partners, including finance and operations, to deliver high‑impact, reliable, and efficient data products and strategic data initiatives. This position requires U.S. work authorization. Essential Functions Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred) Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps Support the implementation of a new cloud‑based data warehouse, defining architecture, governance, and standards Build and automate CI/CD pipelines for data workflows using Azure DevOps Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards Collaborate with business and technical stakeholders to identify high‑value data engineering and analytics opportunities and contribute to data governance initiatives Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company’s core values, competencies, and skills. Education Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field required Experience Qualifications 3+ years of experience in data engineering or cloud data architecture Expertise in Databricks or Snowflake Cloud Data Platformsassistant analysis We need to stop at the last list; there's incomplete tag: ... but missing closing for #J-18808-Ljbffr Heritage Construction + Materials