Data Engineering & BI Leader (Healthcare Industry)
KL GROUP, LLC
Los Angeles, CA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$180,000.0 - $250,000.0
Working hours
Regular working hours
Job source
Tech stack
Airflow
Information Systems
Data Architecture
Data Discovery
Information Engineering
Data Governance
Data Infrastructure
Data Warehousing
Python (Programming Language)
Machine Learning
SQL Databases
Data Streaming
+9 more
Fast Healthcare Interoperability Resources
Snowflake
Core Data
Information Technology
Data Lineage
Health Level Seven International
Data Pipelines
Databricks
Programming Languages
Job description
- Provide technical and thought leadership for Data Engineering and Business Intelligence functions
- Design, implement, and operate a strategy for robust, scalable data pipelines supporting business intelligence and machine learning initiatives
- Develop and maintain core data frameworks and key infrastructure
- Design data warehouse architecture and data models for efficient, cost-effective reporting
- Define and implement data governance processes, including data discovery, lineage, access control, and quality assurance
Requirements
Do you have experience in Technical architecture?, Do you have a Bachelor’s degree?, * Minimum 3 years of experience in data engineering, data architecture, or a related field
- Experience working in the healthcare industry, with familiarity in handling clinical, claims, or patient data
- Working knowledge of healthcare data standards and regulations (e.g., HIPAA, HL7, FHIR) and their impact on data architecture and governance
- Proven experience designing and building scalable data pipelines (batch and/or streaming)
- Strong background in data warehouse design and dimensional/data modeling
- Experience implementing data governance frameworks, including data lineage, access controls, and quality assurance processes
- Proficiency with SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala)
- Experience with modern data platforms and tools (e.g., Snowflake, Databricks, Airflow, dbt, or similar)
- Strong communication skills, with the ability to translate technical concepts for both technical and non-technical stakeholders
- Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience)
Benefits & conditions
$180,000 - $250,000 a year - Full-time, Contract
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