Data Engineer/Senior Data Engineer/Lead/Architect

Data Engineer / Senior Data Engineer / Lead / Architect Location: Irving, TX / Chicago, IL / Edina, MN / Philadelphia, PA / Portland, OR Work Arrangement: Hybrid - 3 days onsite per week (Tuesday, Wednesday & Thursday) Duration: Long-Term Contract Important Note Interested candidates are requested to include their LinkedIn profile URL/ID on their resume. Must-Have Skills Azure Databricks Azure Data Lake Storage (ADLS Gen2) Azure Data Factory (ADF) PySpark Python SQL Delta Lake / Lakehouse Architecture ETL/ELT Development Data Modeling Azure Cloud Platform Git & CI/CD Agile/Scrum Key Requirements 7+ years of experience in Data Engineering 5+ years of hands-on experience with Azure Data technologies 2+ years of experience in the Healthcare, Managed Care, or Payer domain Proven experience building enterprise-scale data pipelines and data integration solutions Strong understanding of Data Warehousing, Data Lakes, and Lakehouse architectures Hands-on experience processing large-scale structured and unstructured datasets Strong experience designing scalable and high-performance data solutions Preferred Qualifications Experience working with healthcare data, including: Claims Membership Provider Care Management Power BI FHIR / HL7 Azure DevOps & Infrastructure as Code (IaC) AI/ML data pipelines Primary Responsibilities Design, develop, and optimize scalable ETL/ELT data pipelines Build data ingestion and transformation frameworks using Azure data services Develop scalable data processing solutions using Azure Databricks and PySpark Implement and maintain Delta Lake and Lakehouse architectures Develop data models to support analytics and business requirements Ensure data quality, governance, monitoring, security, and performance Troubleshoot and optimize data pipelines and processing workloads Support cloud migration, modernization, and data platform transformation initiatives Implement CI/CD practices for data engineering workflows Collaborate with business, analytics, product, and technology teams in Agile/Scrum environments Ideal Candidate Profile We are looking for a Senior Data Engineer / Lead / Architect with strong hands-on experience in Azure Databricks, ADF, ADLS Gen2, PySpark, Python, SQL, Delta Lake, and Lakehouse architecture , along with proven experience in the Healthcare/Managed Care/Payer domain . a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Data Engineer/Senior Data Engineer/Lead/Architect1Snowflake,Azure,Data Engineer,adf,health OR Healthcare,DBT,Azure Data FacoryN/AC2CUnited States