<p>Quick moving contract to perm opening with hybrid in-office plus remote type schedule. Expectations would be in our client's Tampa office 2 to 3 days per week in mentoring Jr Data Engineer </p><p><br></p><p>If applying, please make sure you have at least 5 years experience in Power BI, ETL Development, Snowflake and Azure. If you have Sigma reporting that will be a huge plus as our client is going that direction with their reporting initiatives. Healthcare background also a strong preference to understand our client technical work flows. </p><p><br></p><p>We are seeking an experienced Senior Data Engineer with 5+ years of hands-on experience to join our dynamic Data Engineering team. In this role, you will design, build, and optimize scalable data pipelines and analytics solutions in a fast-paced healthcare environment. You will play a pivotal role in enabling real-time insights for healthcare stakeholders, ensuring data integrity, compliance with HIPAA and other regulations, and seamless integration across multi-cloud ecosystems.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>Architect and implement end-to-end ETL/ELT pipelines using Azure Data Factory, Snowflake, and other tools to ingest, transform, and load healthcare data (e.g., EHR, claims, patient demographics) from diverse sources.</p><p>Design and maintain scalable data warehouses in Snowflake, optimizing for performance, cost, and healthcare-specific querying needs.</p><p>Develop interactive dashboards and reports in Power BI to visualize key healthcare metrics, such as patient outcomes, readmission rates, and resource utilization.</p><p>Collaborate with cross-functional teams (data scientists, analysts, clinicians) to translate business requirements into robust data solutions compliant with HIPAA, GDPR, and HITRUST standards.</p><p>Lead data modeling efforts, including dimensional modeling for healthcare datasets, ensuring data quality, governance, and lineage.</p><p>Integrate Azure services (e.g., Synapse Analytics, Databricks, Blob Storage) to build secure, high-availability data platforms.</p><p>Mentor junior engineers, conduct code reviews, and drive best practices in CI/CD pipelines for data engineering workflows.</p><p>Troubleshoot and optimize data pipelines for performance in high-volume healthcare environments (e.g., processing millions of claims daily).</p><p>Stay ahead of industry trends in healthcare data analytics and contribute to strategic initiatives like AI/ML integration for predictive care models.</p><p><br></p><p><br></p><p><br></p>

<p>5+ years in data engineering, with at least 4 years in the healthcare industry (e.g., hospitals, payers, pharma, or health tech).Core Skills</p><p>ETL Development: Expert in designing complex ETL/ELT processes (e.g., Azure Data Factory, Talend, Informatica)</p><p>Snowflake: Advanced proficiency in data warehousing, Snowpark, and performance tuning.</p><p>Azure: Hands-on with Azure Synapse, Data Lake, Functions, and security features.</p><p>Power BI: Building advanced DAX models, row-level security, and healthcare-specific visualizations.</p><p>Technical- SQL (advanced), Python/Spark for data processing</p><p>Data modeling ( Kimball/Inmon methodologies). - CI/CD tools (Azure DevOps, Git).</p><p><br></p><p>Highly Preferred Skills</p><p><br></p><p>Sigma Computing: Experience building no-code/low-code analytics apps for healthcare dashboards (a significant plus for rapid prototyping).</p><p>Additional healthcare tools: Epic Clarity, Cerner, or Tableau for supplemental reporting.</p><p>Familiarity with dbt for data transformation and Monte Carlo for data observability.</p>

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