Job Description
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
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.
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.
Key Responsibilities
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.
Design and maintain scalable data warehouses in Snowflake, optimizing for performance, cost, and healthcare-specific querying needs.
Develop interactive dashboards and reports in Power BI to visualize key healthcare metrics, such as patient outcomes, readmission rates, and resource utilization.
Collaborate with cross-functional teams (data scientists, analysts, clinicians) to translate business requirements into robust data solutions compliant with HIPAA, GDPR, and HITRUST standards.
Lead data modeling efforts, including dimensional modeling for healthcare datasets, ensuring data quality, governance, and lineage.
Integrate Azure services (e.g., Synapse Analytics, Databricks, Blob Storage) to build secure, high-availability data platforms.
Mentor junior engineers, conduct code reviews, and drive best practices in CI/CD pipelines for data engineering workflows.
Troubleshoot and optimize data pipelines for performance in high-volume healthcare environments (e.g., processing millions of claims daily).
Stay ahead of industry trends in healthcare data analytics and contribute to strategic initiatives like AI/ML integration for predictive care models.
5+ years in data engineering, with at least 4 years in the healthcare industry (e.g., hospitals, payers, pharma, or health tech).Core Skills
ETL Development: Expert in designing complex ETL/ELT processes (e.g., Azure Data Factory, Talend, Informatica)
Snowflake: Advanced proficiency in data warehousing, Snowpark, and performance tuning.
Azure: Hands-on with Azure Synapse, Data Lake, Functions, and security features.
Power BI: Building advanced DAX models, row-level security, and healthcare-specific visualizations.
Technical- SQL (advanced), Python/Spark for data processing
Data modeling ( Kimball/Inmon methodologies). - CI/CD tools (Azure DevOps, Git).
Highly Preferred Skills
Sigma Computing: Experience building no-code/low-code analytics apps for healthcare dashboards (a significant plus for rapid prototyping).
Additional healthcare tools: Epic Clarity, Cerner, or Tableau for supplemental reporting.
Familiarity with dbt for data transformation and Monte Carlo for data observability.
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