Data Engineer

Data Engineer
Remote but inperson interview in Jacksonville, FL




Data Engineer plays a critical role in designing, building, and supporting the organization's data services platform across Snowflake, Coalesce, Microsoft SQL Server, and Azure. This position develops reliable ELT and ETL workflows, supports data modeling and warehouse-oriented structures, and ensures that trusted, well-documented data is available for analytics, reporting, operations, and decision-making.

The ideal candidate will have strong SQL and data modeling skills, experience developing reliable data transformation workflows, and the ability to work closely with analytics, development, and business teams. This role supports sensitive healthcare and business data and requires a strong focus on data quality, reconciliation, security, documentation, and practical stakeholder support.

Education and Experience

Bachelor's degree in healthcare management, data analytics, statistics, information systems, business, or a related field; master's degree preferred.

Proven experience as a Data Engineer or in a similar role.

Proficiency with SQL, Microsoft SQL Server, Snowflake, data modeling, and ELT or ETL development; experience with Coalesce or similar transformation and orchestration tools is strongly preferred.

Strong scripting or programming skills in languages commonly used for data engineering and automation, such as SQL, Python, PowerShell, or C#.

Strong proficiency in supporting data analytics and reporting tools such as SQL, Excel, Tableau, Power BI, or similar platforms.

Working knowledge of AI-assisted productivity, analytics, automation, or documentation tools, with the ability to validate outputs and apply sound judgment.

Knowledge of healthcare data privacy responsibilities and the handling of confidential information.

Preferred qualifications include hands-on experience with Snowflake, Coalesce, Microsoft SQL Server, Azure Data Factory or similar Azure data services, source control, deployment workflows, healthcare data, and business intelligence or analytics platforms such as Tableau or Power BI.

Knowledge, Skills, and Abilities

Team Orientation & Interpersonal highly motivated, collaborative, and service-oriented, with the ability to develop and maintain productive relationships with executives, peers, clinicians, clinical leaders, and external stakeholders.

Communication able to explain complex data, technical concepts, AI-assisted outputs, and performance findings clearly and professionally in written, verbal, dashboard, and presentation formats.

Analytical Thinking able to evaluate complex datasets and convert findings into practical modeling recommendations.

Organization & Time Management able to work independently with minimal supervision, manage multiple priorities, and deliver accurate work within established deadlines.

Systems, Software & AI Tools proficient with respective development environment tools, with the ability to use AI-assisted technologies responsibly to improve productivity, analysis, reporting.