Description We are looking for a Data Engineer to join a collaborative technology team in Nashville, Tennessee, where you will help shape reliable, scalable data solutions that support critical business and healthcare-focused initiatives. This role is ideal for a hands-on builder who enjoys working across technical and business groups to turn complex needs into well-architected platforms and efficient data workflows. You will contribute in an agile setting, partner with stakeholders across the organization, and play a key role in improving data quality, performance, and delivery.

Responsibilities:

• Build and enhance scalable data pipelines and modular processing frameworks that strengthen business intelligence and analytics capabilities.
• Work with cloud and big data technologies to develop, tune, and support high-volume data platforms for enterprise use.
• Convert business goals and functional needs into technical plans, while identifying dependencies, constraints, and delivery risks early in the process.
• Produce clean, maintainable code and follow disciplined engineering practices for source control, testing, deployment, and documentation.
• Partner with internal teams, leadership, and vendors to define requirements and design solutions that align with operational and strategic objectives.
• Improve pipeline reliability, system efficiency, and data processing performance through ongoing evaluation and optimization.
• Provide guidance to teammates by sharing practical knowledge of modern data engineering methods, tools, and development standards.
• Investigate production issues, resolve technical problems, and help maintain the stability and availability of data systems.
• Communicate architectural decisions and implementation details clearly to both technical stakeholders and non-technical audiences. Requirements
• At least 8 years of experience in data engineering or closely related platform development work.
• At least 8 years of experience with relational and non-relational databases, including data modeling, schema design, and query tuning.
• At least 5 years of experience building scalable solutions in Python or another object-oriented programming language.
• Strong hands-on experience with Databricks, Spark, and Delta tables in distributed data processing environments.
• Working knowledge of Lakehouse and Medallion architectural patterns.
• Experience creating data integration and ETL pipelines with Azure Data Factory or a comparable tool.
• Proven background deploying and supporting cloud-based data solutions, preferably in Microsoft Azure, with attention to monitoring, security, and cost management.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

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