Remote Sr Data Engineer with mortgage exp-15+ years

SR Talent Solution Inc.; United States; Remote; USD 120,000 - 180,000; Part time

Job summary

SR Talent Solution Inc. is seeking a Remote Senior Data Engineer with 15+ years of data-engineering experience to design and maintain scalable pipelines that support mortgage operations, reporting, and analytics.

The role requires 3 years of U.S. mortgage-domain experience, strong Snowflake/SQL skills, and hands-on ETL/ELT, data warehousing, and dimensional modeling expertise. Proficiency in Python, Git, and cloud platforms is essential for collaboration with cross-functional teams.

Qualifications

• 15 years of data-engineering experience.
• Strong hands-on Snowflake and advanced SQL expertise.
• 3 years of U.S. mortgage or lending-domain experience.
• Experience with ETL/ELT, data warehousing, dimensional modeling, and large datasets.
• Understanding of mortgage origination, underwriting, closing, servicing, payments, escrow, and loan lifecycle.
• Experience with Python, Git, and AWS, Azure, or Google Cloud Platform.

Responsibilities

• Develop scalable ETL/ELT pipelines using Snowflake and SQL.
• Integrate loan-origination, underwriting, servicing, borrower, payment, property, and third-party data.
• Build data models and curated datasets for analytics and reporting.
• Perform data validation, reconciliation, cleansing, and performance optimization.
• Troubleshoot production pipelines and enforce data security and governance.
• Collaborate with business, architecture, QA, and application teams.

Skills

Data engineering

SQL

U.S. mortgage domain knowledge

ETL/ELT

Data warehousing

Dimensional modeling

Python

Git

Tools

Snowflake

Airflow

dbt

Spark

Databricks

Kafka

CI/CD

Snowflake Streams

Snowpipe

Job description

Title: Remote Sr Data Engineer-15 years
Duration: 6 months/contractMust have 3 years of U.S. mortgage or lending-domain exp

Required Qualifications

• 15 years of data-engineering experience.
• Strong hands-on Snowflake and advanced SQL expertise.
• 3 years of U.S. mortgage or lending-domain experience.
• Experience with ETL/ELT, data warehousing, dimensional modeling, and large datasets.
• Understanding of mortgage origination, underwriting, closing, servicing, payments, escrow, and loan lifecycle.
• Experience with Python, Git, and AWS, Azure, or Google Cloud Platform.

Preferred

Experience with dbt, Airflow, Spark, Databricks, Kafka, CI/CD, and Snowflake Streams, Tasks, Snowpipe, or Dynamic Tables. Familiarity with MISMO, Fannie Mae, Freddie Mac, FHA, and VA mortgage data is highly desirable.

Client is seeking a Senior Data Engineer with strong Snowflake expertise and hands-on experience working with U.S. mortgage data. The consultant will design and maintain scalable data pipelines supporting mortgage operations, reporting, and analytics.

Key Responsibilities

• Develop scalable ETL/ELT pipelines using Snowflake and SQL.
• Integrate loan-origination, underwriting, servicing, borrower, payment, property, and third-party data.
• Build data models and curated datasets for analytics and reporting.
• Perform data validation, reconciliation, cleansing, and performance optimization.
• Troubleshoot production pipelines and enforce data security and governance.
• Collaborate with business, architecture, QA, and application teams.