Sr. Data Engineer/ Data Architect (Healthcare)

  • Posted 1 hour ago | Updated 1 hour ago

Overview

Remote
Depends on Experience
Full Time
No Travel Required

Skills

Transact-SQL
SQL
PySpark
Microsoft Azure
Migration
Modeling
Legacy Systems
Leadership
Health Insurance
HIPAA
DevOps
Databricks
Database
Data Warehouse
Data Quality
Data Engineering
Data Migration
Data Modeling
Data Architecture
Continuous Monitoring
Continuous Integration
Continuous Delivery
Agile
Apache Spark
Data Governance
Data Integrity

Job Details

Title: Sr. Data Engineer/ Data Architect

Location: 100% Remote

Duration: Direct Hire

Direct Client

 

Required Qualifications:

10-15+ years of data engineering and/or data architecture experience, with at least 5+ years leading modernization or migration initiatives.

Proven expertise in legacy-to-cloud migrations (e.g., from on-prem or traditional databases to Azure Databricks ecosystem).

Demonstrated abilities & experience handling rapid business focus / strategic shifts.

Strong data warehousing background with deep data modeling experience (relational, dimensional, and modern lakehouse approaches).

Hands-on experience with our stack: Databricks, Delta Lake, Unity Catalog, PySpark, Spark Streaming, Azure Data Factory, Synapse, containers, and full Azure ecosystem.

Experience in pipeline orchestration and monitoring tools.

Strong SQL and T-SQL debugging skills, experience consuming REST APIs, and working with serverless functions.

Expertise in data quality, schema evolution, and large-scale ingestion.

Background in DevOps, CI/CD pipelines, and Agile development practices.

Bachelor s or Master s degree in Computer Science, Engineering, or a related field, or equivalent experience.

 

Preferred Qualifications

Experience in healthcare, insurance, or other regulated industries with HIPAA/SOC2 compliance.

Experience with real-time data streaming and event-driven architectures.

Strong stakeholder management skills with the ability to communicate complex technical concepts to non-technical audiences.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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