Data Engineer

Robert Half offers a fully remote Data Engineer role based in Nashville, TN (remote) with an annual salary of USD 120,000 - 130,000. Join a team focused on reliable data warehouse operations, scalable data pipelines, and cross-system data integration to power reporting and analytics. This position emphasizes steady, data-driven results and collaboration across the business to support informed decision-making.

Benefits

• Medical, vision, dental, and life and disability insurance
• 401(k) plan eligibility
• Free online training

Responsibilities

• Monitor and maintain the data warehouse on a daily basis to ensure reliable access to trusted data.
• Design, construct, and optimize data pipelines that move and transform data across multiple platforms.
• Develop data engineering solutions using Python, Spark, and Databricks to support large-scale processing and analytics workloads.
• Create and maintain SQL-based data structures and workflows to improve data quality, usability, and consistency.
• Apply solid data modeling practices to organize datasets for reporting, analysis, and downstream applications.
• Collaborate with cross-functional teams to understand integration needs and deliver scalable data solutions aligned with business priorities.
• Support cloud-based data movement and orchestration, including work involving Azure Data Factory as needed.
• Prepare well-structured datasets to support reporting and visualization in tools such as Power BI, Tableau, or Looker.
• Maintain a strong SQL and data warehouse support background, including writing and optimizing complex queries.
• Hands-on experience with Apache Spark and Azure Databricks for distributed data processing.
• Solid understanding of data modeling concepts and the ability to structure datasets for analytics.
• Working knowledge of visualization platforms such as Power BI, Tableau, or Looker.
• Experience with Microsoft SQL technologies and comfort operating within Azure-based data ecosystems.
• Exposure to C# is beneficial but not required.

Requirements

• Extensive data engineering experience with hands-on Python in production environments.
• Solid SQL and data warehouse support background, including writing and optimizing complex queries.
• Hands-on experience with Apache Spark and Azure Databricks for distributed data processing.
• Understanding of data modeling concepts and the ability to structure datasets for analytical use.
• Familiarity with cloud-based data integration tools, including exposure to Azure Data Factory.
• Working knowledge of visualization platforms such as Power BI, Tableau, or Looker.
• Experience with Microsoft SQL technologies and comfort operating within Azure-based data ecosystems.
• Exposure to C# is beneficial but not required.

Technologies

• Python
• Apache Spark
• Databricks
• Azure Databricks
• SQL
• Microsoft SQL
• Azure Data Factory
• Power BI
• Tableau
• Looker
• C#
• Azure