Data Engineer (No Sponsorship Available)

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., * 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.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field required, * 3+ years of experience in data engineering or cloud data architecture
• Expertise in Databricks or Snowflake Cloud Data Platforms
• Expertise with programming languages such as Python and/or SQL
• Experience with Python Data Science Libraries (PySpark, Pandas, etc.)
• Experience with Test Drive Development (TDD)
• Automated CI/CD Pipelines
• Linux / Bash / Docker
• Database Schema Design and Optimization
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines)

Skills and Abilities

• Strong analytical and problem-solving skills
• Experience with programming languages such as Python, Java, R, or SQL
• Experience with Databricks or Snowflake Cloud Data Platforms
• Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau
• Proficient in Microsoft Office

Heritage Construction + Materials (HC+M) is part of The Heritage Group, a privately held, family-owned business headquartered in Indianapolis. HC+M has core capabilities in infrastructure building. Its collection of companies provides innovative road construction and materials services across the Midwest. HC+M companies, including Asphalt Materials, Inc., Evergreen Roadworks, Milestone Contractors and US Aggregates, proudly employ 3,000 people at 68 locations across seven states. Learn more at www.heritagebuilds.com.