Data Engineer- Greater Tampa

MAXhealth•Tampa, FL

22d•Hybrid

About The Position

MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data pipelines and data integration solutions within MaxHealth's cloud-based analytics ecosystem. This role works closely with Data Platform Engineers, Data Analysts, and business stakeholders to ensure the timely, accurate, and reliable delivery of data used for reporting, analytics, and operational decision-making. The Data Engineer will assist with modernizing legacy data processes, developing Azure Data Factory (ADF) pipelines, supporting Microsoft Fabric initiatives, and monitoring the quality and reliability of enterprise data assets.

Requirements

4+ years of experience in data engineering, ETL development, database development, or related technical roles
Experience with SQL Server and strong SQL development skills
Experience with Azure Data Factory (ADF), SSIS, or similar data integration tools
Experience developing ETL/ELT processes and data transformation workflows
Scripting experience with Python, PowerShell, or similar languages
Understanding of relational databases and data modeling concepts
Strong analytical and troubleshooting skills
Ability to work effectively in both independent and team environments

Nice To Haves

Hands on Fabric and Databricks experience
Experience with Microsoft Fabric components as well as Databricks
Familiarity with Azure Data Lake Storage Gen2 or cloud-based data platforms
Understanding of data warehouse and lakehouse concepts
Exposure to CI/CD practices and Azure DevOps
Experience working in healthcare, payer, provider, or regulated environments
Familiarity with monitoring tools such as Azure Monitor and Log Analytics
Microsoft Certified: Azure Fundamentals (AZ-900) or equivalent foundational cloud cert
HDI Support Center Analyst or equivalent
Clinical application certifications a plus.

Responsibilities

Develop and maintain data pipelines using Azure Data Factory (ADF), Databricks, and/or Fabric
Support migration of legacy SSIS processes to modern cloud-based solutions
Build and maintain reusable ELT processes for data ingestion and transformation
Integrate data from operational systems, applications, APIs, and third-party vendors
Support data loading processes into data lake, warehouse, and reporting environments
Monitor scheduled data pipelines and troubleshoot execution failures
Respond to data-related incidents and support operational data processes
Assist with root cause analysis and implementation of corrective actions
Work with Data Operations teams to ensure reliable and timely data delivery
Participate in production support and on-call activities as assigned
Implement data validation and reconciliation processes within pipelines
Monitor data quality, completeness, and accuracy across source and target systems
Investigate data anomalies and partner with business users to resolve issues
Support testing and validation efforts for new data integrations and enhancements
Develop and optimize SQL queries, stored procedures, and database objects
Support database performance tuning efforts and indexing strategies
Assist with database maintenance and data management activities
Follow established security, compliance, and data governance standards
Maintain technical documentation for data pipelines, workflows, and integrations
Document data mappings, transformation logic, and operational procedures
Follow development standards, coding conventions, and deployment processes
Identify opportunities to improve data processing efficiency and reliability