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Listing evidence and provenance
- Source
- Workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed November 3, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Transmission & Distribution
- Pay provenance
- Employer-provided pay
Job Description
We are seeking a skilled, execution-focused Data Engineer to join our Data & Analytics team.
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
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
- 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
- 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
Benefits & Perks
- 401k w/employer match
- Health/Dental/Vision insurance plans
- Paid time off
- 10 paid holidays
- Stock purchase plan
Ready to Apply?
Apply directly on Primoris's site
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