Data Engineer / Senior Data Engineer / Lead / Architect
E-Solutions
Irving, TX, United States
26 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Microsoft Azure
Continuous Integration
Data Architecture
Information Engineering
Data Infrastructure
Data Integration
Extract Transform Load (ETL)
Data Systems
Data Warehousing
Python (Programming Language)
Scrum Methodology
+15 more
Power BI
Standard Sql
Azure Data Lake
SQL Databases
Unstructured Data
Data Processing
Data Ingestion
Azure Data Factory
Fast Healthcare Interoperability Resources
Git
Data Lakes
Pyspark
Health Level Seven International
Data Pipelines
Databricks
Job description
- 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
Requirements
- 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, * 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, 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. Data Engineer/Senior Data Engineer/Lead/Architect1Snowflake,Azure,Data Engineer,adf,health OR Healthcare,DBT,Azure Data FacoryN/AC2CUnited States
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