Senior Data Engineer / Data Architect (Remote and W2) jobs in United States
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Vibotek LLC · 4 hours ago

Senior Data Engineer / Data Architect (Remote and W2)

Vibotek LLC is a company specializing in data engineering solutions for the healthcare sector, and they are seeking a Senior Data Engineer / Data Architect. The role involves designing large-scale data systems, integrating healthcare data, and implementing AI-driven analytics to enhance data processes and insights.

Information Technology & Services

Responsibilities

Architect and design large-scale data systems, leveraging cloud technologies such as Azure Databricks, Snowflake, AWS, and Azure Synapse for healthcare data ecosystems
Build and optimize data pipelines using dbt, Apache Airflow, Azure Data Factory, and Python/PySpark to manage large volumes of healthcare data
Integrate data from systems such as Epic (Clarity, Caboodle, Tapestry), FHIR, HL7, and claims data for analysis and AI/ML models
Implement AI-driven analytics, predictive modeling, and machine learning workflows to automate healthcare data processes and generate actionable insights
Implement and manage data governance frameworks ensuring HIPAA and GDPR compliance
Collaborate with cross-functional teams and mentor junior engineers to ensure the success of data engineering initiatives
Develop dashboards using tools like Power BI, Qlik Sense, and DOMO, ensuring that data insights are actionable and meet business needs
Continuously monitor and optimize data systems for performance, reliability, and scalability

Qualification

Azure DatabricksSnowflakeHealthcare Data IntegrationETL/ELT PipelinesPythonMachine LearningPower BIHIPAA ComplianceTeam CollaborationCommunication Skills

Required

10+ years of experience in data engineering or data architecture, particularly in the healthcare or large-scale data systems sector
Strong knowledge of healthcare data systems, including Epic, FHIR, HL7, claims data, and Revenue Cycle Management (RCM)
Expertise in Azure Databricks, Snowflake, AWS (S3, Glue, Lambda, Redshift), and Azure Synapse
Hands-on experience with dbt, Apache Airflow, Azure Data Factory, Python, PySpark, and other data engineering tools
Experience with AI-driven analytics, predictive modeling, and tools like Azure AI Foundry and NLP
Proficiency in Power BI, Qlik Sense, DOMO, and other BI/reporting tools
Knowledge of HIPAA, GDPR, and other healthcare data compliance standards
Excellent communication skills and ability to work in a collaborative, remote environment
Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Preferred

Certifications in Epic Systems or related healthcare platforms
Experience with Delta Lake, Unity Catalog, and Lakehouse Architecture
Expertise in AI, machine learning, and predictive analytics techniques
Familiarity with large-scale healthcare data integration and governance frameworks

Company

Vibotek LLC

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We screen and shortlist candidates before presenting to our clients. Therefore reducing hiring time and cost.

Funding

Current Stage
Early Stage
Company data provided by crunchbase