Data Engineer - Business Analytics

The Data Engineer - Business Analytics role designs, builds, and optimizes analytics-ready datasets within a modern Databricks-based data platform. The work centers on curated Silver and Gold assets in a medallion architecture, with the semantic layer implemented in Databricks.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and curated datasets within the Databricks Lakehouse, including the Silver and Gold layers.
• Develop and manage analytics-ready data models and semantic structures in Databricks aligned to enterprise reporting requirements.
• Transform raw data into business-consumable datasets using standardized definitions, KPIs, and metrics.
• Apply dimensional modeling and other data modeling techniques in 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, including Power BI, without relying on embedded semantic modeling.
• Partner with business analysts and reporting teams to improve dataset usability, performance, and scalability.
• Optimize datasets and data models for performance, including query efficiency and scalability for enterprise reporting workloads.
• Ensure data quality, integrity, and consistency across the full data lifecycle.
• Implement and enforce data governance standards, including data security, masking, access controls, and cost controls.
• Translate business requirements into scalable data solutions by working with business leaders and stakeholders.
• Align data structures to the enterprise data dictionary and KPI definitions.
• Communicate dataset structures and data model designs clearly to technical and non-technical stakeholders.
• Support the evolution of the enterprise analytics platform within Azure and Databricks.
• Contribute to CI/CD and deployment automation best practices, along with data engineering standards.
• Support advancement of data capabilities, including assistance with AI/ML use cases where applicable.

Required Qualifications

• 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 data transformation and pipeline development.
• Proven experience designing and implementing data models within modern data platforms, including Lakehouse architecture.
• Experience working with medallion architecture (Bronze/Silver/Gold layers).
• Understanding of BI tools such as Power BI, with an emphasis on dataset consumption rather than semantic layer ownership.
• Experience with CI/CD pipelines, version control, and deployment processes.
• Familiarity with Agile/Scrum delivery methodologies.

Technology Stack

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

Compensation and Benefits

Salary: USD 135,000 - 155,000 per year.

Pay equity compensation range: USD 135,000 - 155,000.

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

Location and Working Conditions

• Location: Texas (remote)
• Occasional travel may be required.
• Flexible work hours may be necessary to meet project deadlines.