[Hiring] Data Engineer @Primoris Services Corporation

Role Description

We are seeking a skilled, execution-focused Data Engineer to join our Data & Analytics team. This role is responsible for designing, building, and maintaining scalable, production-grade data pipelines on the Databricks Lakehouse Platform.

The ideal candidate brings strong hands-on experience with Python, PySpark, SQL, and medallion architecture, along with a proven record of delivering reliable data solutions in enterprise environments.

You will report directly to the Sr. Data Architect and collaborate closely with business analysts, architects, BI developers, and offshore engineering teams to meet enterprise data delivery needs. This role requires deep technical expertise, a strong execution mindset, and the ability to adapt as the platform evolves to support generative AI, agent-based automation, and intelligent orchestration frameworks.

Key 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

Qualifications

• 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
• Experience with Azure-based data platforms preferred
• Databricks certification (Associate Data Engineer or higher) preferred
• Palantir platform knowledge or experience is a plus
• Interest in or exposure to GenAI, agent tooling, and modern orchestration or ML workflows
• Strong written and verbal communication skills

Skills and Competencies

• 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

Working Conditions

• Ability to work remotely
• Occasional travel may be required
• Flexible work hours may be necessary to meet project timelines

Salary Range

$115,000 - $120,000 annually, depending upon experience

Benefits

• 401k w/employer match
• Health/Dental/Vision insurance plans
• Paid time off
• 10 paid holidays
• Stock purchase plan