

Mega Cloud Lab
Snowflake Data Engineer (HL7 / Healthcare Data)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Data Engineer (HL7 / Healthcare Data) on a remote contract basis. Key requirements include strong Snowflake and SQL Server expertise, HL7 knowledge, and experience with ETL tools. Healthcare domain experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
-
🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#ADF (Azure Data Factory) #JSON (JavaScript Object Notation) #Airflow #Data Architecture #Data Engineering #Security #SQL Server #Data Modeling #Data Pipeline #Snowflake #Data Governance #Batch #Data Quality #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #Documentation #Data Ingestion #SQL (Structured Query Language) #Monitoring #Normalization #Databases #MS SQL (Microsoft SQL Server)
Role description
Job Role: Snowflake Data Engineer (HL7 / Healthcare Data)
Remote USA
Role Overview
Job Description – Snowflake Data Engineer (HL7 / Healthcare Data)
• Design and implement Snowflake-based data platform using Medallion Architecture
• Work on HL7, DICOM, and SQL Server data pipelines
Skill
Snowflake – 5/5
MS SQL – 5/5
• Net – 5/5 Healthcare Background(hl7) : 3/5
Required Skills
• Strong experience in Snowflake (Medallion Architecture)
• Expertise in SQL Server (Schema, SPs, Jobs, Performance tuning)
• Knowledge of HL7 data structures & healthcare workflows
• Experience in ETL/ELT tools (ADF, Airflow, etc.)
• Data modeling (Dimensional / Star Schema)
• Handling semi-structured data (JSON/VARIANT)
Key Responsibilities
• Gather requirements and analyze existing HL7 → SQL Server → ETL workflows
• Design Bronze, Silver, Gold layers in Snowflake
• Build data ingestion pipelines for HL7 messages (ADT, ORM, ORU)
• Parse and map HL7 data into structured relational models
• Perform data transformation, cleansing, and normalization
• Reverse engineer SQL Server databases (tables, SPs, jobs, dependencies)
• Migrate ETL and batch jobs to Snowflake (Tasks/Streams/ADF/Airflow)
• Develop data models (fact & dimension tables) for analytics
• Ensure data quality, lineage, and governance
• Implement scheduling, monitoring, and performance optimization
Good to Have
• DICOM data exposure
• Real-time streaming (Kafka/Event Hub)
• Healthcare domain experience
• Data governance & security (HIPAA awareness)
Deliverables
• Data architecture design
• HL7-to-Snowflake mapping documentation
• Pipeline implementations
• SQL Server reverse engineering artifacts
• Reporting-ready data models
Skills: healthcare,snowflake,etl,hl7
Job Role: Snowflake Data Engineer (HL7 / Healthcare Data)
Remote USA
Role Overview
Job Description – Snowflake Data Engineer (HL7 / Healthcare Data)
• Design and implement Snowflake-based data platform using Medallion Architecture
• Work on HL7, DICOM, and SQL Server data pipelines
Skill
Snowflake – 5/5
MS SQL – 5/5
• Net – 5/5 Healthcare Background(hl7) : 3/5
Required Skills
• Strong experience in Snowflake (Medallion Architecture)
• Expertise in SQL Server (Schema, SPs, Jobs, Performance tuning)
• Knowledge of HL7 data structures & healthcare workflows
• Experience in ETL/ELT tools (ADF, Airflow, etc.)
• Data modeling (Dimensional / Star Schema)
• Handling semi-structured data (JSON/VARIANT)
Key Responsibilities
• Gather requirements and analyze existing HL7 → SQL Server → ETL workflows
• Design Bronze, Silver, Gold layers in Snowflake
• Build data ingestion pipelines for HL7 messages (ADT, ORM, ORU)
• Parse and map HL7 data into structured relational models
• Perform data transformation, cleansing, and normalization
• Reverse engineer SQL Server databases (tables, SPs, jobs, dependencies)
• Migrate ETL and batch jobs to Snowflake (Tasks/Streams/ADF/Airflow)
• Develop data models (fact & dimension tables) for analytics
• Ensure data quality, lineage, and governance
• Implement scheduling, monitoring, and performance optimization
Good to Have
• DICOM data exposure
• Real-time streaming (Kafka/Event Hub)
• Healthcare domain experience
• Data governance & security (HIPAA awareness)
Deliverables
• Data architecture design
• HL7-to-Snowflake mapping documentation
• Pipeline implementations
• SQL Server reverse engineering artifacts
• Reporting-ready data models
Skills: healthcare,snowflake,etl,hl7



