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# Data Engineer

- **Company:** Robert Half
- **Location:** St. Petersburg, FL, United States
- **Contract:** Temporary to permanent
- **Skills:** Adaptable Database Systems, Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Business Intelligence Development, Data as a Services, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Digital Assets, Python (Programming Language), SQL Azure, Power BI, Azure Data Lake, Enterprise Data Management, Apache Spark, Data Lakes, Data Pipelines, Databricks
- **Published:** October 30, 2026
- **Apply:** https://www.dice.com/job-detail/6bf1320b-ee98-443e-b973-f8af9bd30170

## About the Role

Relevant experience in data engineering, BI development, or data product development roles.
Strong hands-on expertise with Databricks, including Azure Databricks in enterprise data environments.
Proficiency in Python and Apache Spark for data transformation, pipeline development, and large-scale processing.
Experience designing and supporting ETL workflows and integrating data from multiple sources.
Working knowledge of Azure Data Lake, data lake architectures, and Azure SQL Database.
Experience building dashboards, reports, or interactive analytics solutions for business users.
Ability to work effectively with cross-functional teams to gather requirements and deliver practical data solutions., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment., Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.
Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.
Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.
Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.
Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.
Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.
Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.
Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.