

Intracruit Solutions
Senior Data Engineer / ETL SME
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer / ETL SME, offering a 6+ month remote contract. Requires 10-15 years of IT experience, 5 years in ETL, healthcare payer experience, and skills in Kafka, Snowflake, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 24, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Documentation #Data Engineering #Kafka (Apache Kafka) #SQL (Structured Query Language) #Snowflake #"ETL (Extract #Transform #Load)" #Data Dictionary
Role description
Title: Senior Data Engineer / ETL SME
Location: Remote
Duration: 6+ months
Work Authorization: GC, USC
Interview Process: 2 rounds MS Teams Video
Required
• Must have 10 – 15 years of IT experience
• Must have recent 5 years of ETL experience
• Ability to create technical design documentation
• Must have recent healthcare payer experience
• Must have Kafka and Snowflake experience
• Must have solid SQL experience
• Must understand Logical Dimensional Model (ERD), Fact and Dimension Definition Catalog, Source-to-Target Mapping Specifications, and Data Dictionary
• Must have experience in building data models
• Experience with enterprise data model building
• Experience in creating a star schema (fact and dimension tables)
• Excellent communication skills
Title: Senior Data Engineer / ETL SME
Location: Remote
Duration: 6+ months
Work Authorization: GC, USC
Interview Process: 2 rounds MS Teams Video
Required
• Must have 10 – 15 years of IT experience
• Must have recent 5 years of ETL experience
• Ability to create technical design documentation
• Must have recent healthcare payer experience
• Must have Kafka and Snowflake experience
• Must have solid SQL experience
• Must understand Logical Dimensional Model (ERD), Fact and Dimension Definition Catalog, Source-to-Target Mapping Specifications, and Data Dictionary
• Must have experience in building data models
• Experience with enterprise data model building
• Experience in creating a star schema (fact and dimension tables)
• Excellent communication skills






