Data Engineer - Business Analytics

Primoris Services Corporation is hiring a Data Engineer - Business Analytics for a Texas (remote) role. You will design and optimize analytics-ready datasets in a modern Azure + Databricks data platform, with the curated semantic layer delivered in Databricks as part of a medallion architecture (Silver and Gold).

What you’ll do

• Design, build, and maintain scalable data pipelines and curated datasets in the Databricks Lakehouse using Silver and Gold layers.
• Develop and manage analytics-ready data models and semantic structures in Databricks that align to enterprise reporting needs.
• Transform raw data into business-consumable datasets with standardized definitions, KPIs, and metrics.
• Apply dimensional modeling and other modeling techniques within a distributed data environment.
• Own the semantic layer within Databricks to support consistent definitions across reporting and analytics use cases.
• Enable downstream consumption by visualization and analytics tools such as Power BI, with no reliance on embedded semantic modeling.
• Partner with business analysts and reporting teams to improve usability, performance, and scalability of datasets.
• Optimize data models and datasets for performance, including query efficiency for enterprise reporting workloads.
• Ensure data quality, integrity, and consistency throughout the full data lifecycle.
• Implement and enforce data governance including data security, masking, access controls, and cost controls.
• Translate business requirements into scalable data solutions and align structures to the enterprise data dictionary and KPI definitions.
• Communicate dataset structures and data model designs clearly to both technical and non-technical stakeholders.
• Support the evolution of the enterprise analytics platform within Azure and Databricks.
• Advance best practices for CI/CD, deployment automation, and data engineering standards.
• Support advancing data capabilities, including AI/ML use cases where applicable.

What you bring

• Bachelor’s degree in Information Technology, Computer Science, Business Analytics, or a related field.
• 6+ years of experience in data engineering, data modeling, or analytics engineering roles.
• Strong expertise in Databricks Unity Catalog, SQL, and Python for transformation and pipeline development.
• Proven experience designing and implementing data models within modern data platforms such as a Lakehouse architecture.
• Experience with medallion architecture (Bronze/Silver/Gold layers).
• Understanding of BI tools like Power BI, emphasizing dataset consumption rather than ownership of the semantic layer.
• Experience with CI/CD pipelines, version control, and deployment processes.
• Familiarity with Agile/Scrum delivery methodologies.

Tools you’ll work with

• Databricks, Databricks Lakehouse, Databricks Unity Catalog
• SQL, Python
• Azure, Power BI
• CI/CD pipelines, Agile/Scrum

Compensation & benefits

• Pay range: USD 135,000 - 155,000 per year
• Health/Dental/Vision insurance plans
• 401k with employer match
• Paid time off
• 10 paid holidays
• Stock purchase plan
• Pay equity compensation range: USD 135,000 - 155,000

Working conditions

• Occasional travel may be required.
• Flexible work hours may be necessary to meet project deadlines.