Data Engineer

Primoris Services Corporation is hiring a Data Engineer to design, build, and maintain production-grade data pipelines on the Databricks Lakehouse Platform. The role supports enterprise data delivery through pipeline development, CI/CD, data quality and governance, and collaboration with business and engineering teams.

Responsibilities:

• Design, build, and maintain ELT pipelines on Databricks using Python, PySpark, and SQL, following medallion architecture patterns (Bronze, Silver, Gold)
• Package, version, and deploy reusable pipeline components using Databricks Asset Bundles (DABs)
• Implement and manage CI/CD workflows across environments using Azure DevOps or GitHub
• Perform code reviews and provide delivery oversight for offshore data engineering teams, ensuring quality, consistency, and adherence to standards
• Participate in sprint planning, technical design reviews, and architecture discussions
• Proactively identify, troubleshoot, and resolve data quality, performance, and reliability issues
• Evaluate and adopt emerging tools and approaches, including LLMs, GenAI, and agent-based workflows, to modernize and automate data delivery
• Support data modeling, lineage, and governance practices using Unity Catalog and related tooling
• Maintain clear technical documentation and communicate effectively with both technical and business stakeholders

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years of hands-on data engineering experience delivering production workloads
• Strong experience with Databricks, Python, PySpark, and SQL
• Experience troubleshooting and debugging Terraform deployments, state management, module configurations, and cloud infrastructure issues
• Solid understanding of Delta Lake and medallion architecture design principles
• Experience using Azure DevOps or GitHub for version control and CI/CD automation
• Proven ability to support or lead offshore engineering teams while maintaining delivery accountability
• Strong written and verbal communication skills
• High attention to detail with a quality-first mindset
• Strong ownership and accountability for deliverables
• Ability to operate effectively in a hybrid onshore and offshore delivery model
• Well-organized, self-directed, and comfortable managing multiple priorities
• Willingness to learn new tools, patterns, and frameworks as the platform evolves
• Comfortable working in a fast-paced, deadline-driven environment
• Experience with Azure-based data platforms
• Databricks certification (Associate Data Engineer or higher)
• Palantir platform knowledge or experience
• Interest in or exposure to GenAI, agent tooling, and modern orchestration or ML workflows