

Sr Data Engineering
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineering position, a 6-12+ month remote contract, offering market pay. Requires 14-16+ years in data engineering, expertise in U.S. mortgage products, and proficiency in Snowflake, Kafka, Python, and SQL. Advanced degree preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 22, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#SQL (Structured Query Language) #Snowflake #Computer Science #Kafka (Apache Kafka) #AWS (Amazon Web Services) #Data Integration #Data Engineering #Compliance #FastAPI #Deployment #ML (Machine Learning) #Cloud #Python #API (Application Programming Interface)
Role description
Title: Senior Data Engineering
Location: Remote Work .
Type: 6-12 + Month Contract
Rate: Market
Qualifications
Required
β’ Bachelorβs degree in computer science, Data Engineering, or related field; advanced degree preferred.
β’ 14β16+ years in data engineering and application development, preferably in the mortgage or financial services sector.
β’ Expertise in U.S. mortgage products, pricing, and servicing data models.
β’ Hands-on experience with Snowflake, Kafka, AWS, FastAPI, and modern data integration tools.
β’ Proficiency in Python, SQL, and modern frontend frameworks.
β’ Proven track record with event-driven architectures and BFF API patterns.
β’ Experience with ML deployment pipelines and cloud-based model hosting.
Preferred
β’ Experience with Empower LOS, Optimal Blue, and AVM integrations.
β’ Familiarity with mortgage regulatory compliance and secondary market guidelines.
β’ AWS Certified Solutions Architect / Data Engineer or equivalent certifications.
Title: Senior Data Engineering
Location: Remote Work .
Type: 6-12 + Month Contract
Rate: Market
Qualifications
Required
β’ Bachelorβs degree in computer science, Data Engineering, or related field; advanced degree preferred.
β’ 14β16+ years in data engineering and application development, preferably in the mortgage or financial services sector.
β’ Expertise in U.S. mortgage products, pricing, and servicing data models.
β’ Hands-on experience with Snowflake, Kafka, AWS, FastAPI, and modern data integration tools.
β’ Proficiency in Python, SQL, and modern frontend frameworks.
β’ Proven track record with event-driven architectures and BFF API patterns.
β’ Experience with ML deployment pipelines and cloud-based model hosting.
Preferred
β’ Experience with Empower LOS, Optimal Blue, and AVM integrations.
β’ Familiarity with mortgage regulatory compliance and secondary market guidelines.
β’ AWS Certified Solutions Architect / Data Engineer or equivalent certifications.