Data Engineer, Baton Rouge, La Category Information Technology Location Baton Rouge, La
State of Louisiana, Louisiana Department of Health
Baton Rouge, Louisiana, USA
On-site
Links → datalake integration feasibility
Build and optimize etl workflows
Design scalable data workflows
The State of Louisiana, Louisiana Department of Health is seeking a Data Engineer for their Baton Rouge office to enhance data integration and management within public health initiatives. The ideal candidate will have extensive experience in data engineering, particularly with ETL workflows, SQL, and cloud platforms, while contributing to data governance and collaboration with various health programs
Job Summary
Assess feasibility and technical requirements for LINKS → DataLake integration.
Build and optimize ETL workflows for LINKS and complementary datasets, designing scalable data workflows to improve data quality, integrity, and identity resolution.
Implement data governance, observability, and lineage tracking across all pipelines, mentoring engineers and enforcing best practices.
Matching Summary
Match Score: 85
The State of Louisiana, Louisiana Department of Health is seeking a Data Engineer for their Baton Rouge office to enhance data integration and management within public health initiatives. The ideal candidate will have extensive experience in data engineering, particularly with ETL workflows, SQL, and cloud platforms, while contributing to data governance and collaboration with various health programs.
Skills & Requirements
Must-have
LINKS → DataLake integration feasibility
Build and optimize ETL workflows
Design scalable data workflows
Implement data governance and lineage
Python for ETL and automation
SQL queries and performance tuning
ETL orchestration tools
Cloud platforms for data onboarding
Nice-to-have
Experience with APIs
CI/CD pipeline familiarity
Infrastructure as Code exposure
Data governance and metadata tools
Public health/healthcare dataset experience
SAS and R workflow familiarity
Additional SQL platform experience
Data quality frameworks
Real-time/streaming tools
Big data frameworks
Data security and compliance knowledge
Agile/SCRUM team experience
Key Requirements
3 years of experience in data engineering/architecture
2 years of experience with Python for ETL
2 years hands-on experience with SQL
1 year experience with ETL orchestration tools
1 year experience with cloud platforms
1 year exposure to data lake architecture
2 years of experience providing documentation and communication