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Contract Data Engineer

Job

American Financing Corporation

Remote

$150,800 Salary, Full-Time

Posted 1 week ago (Updated 5 days ago) • Actively hiring

Expires 6/3/2026

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Job Description

Compensation:
$60 to $85 Hourly At American Financing, we're innovators with imagination. We do what it takes to help customers achieve their financial goals. And we stay ahead of the competition by challenging ourselves to become more efficient. We are one of the fastest-growing national mortgage lenders because we don't follow the status quo. See what it's like to work for a national mortgage lender that truly values its employees. Wherever your passions lie, you can find rewarding work and new opportunities here. Casual work environment Family-owned, Customer-focused Denver Post Top Workplace Top 50 Family-Owned Business Best of Colorado Business Inc. 5000 Fastest-growing Private Company
JOB SUMMARY
We are looking for a Contract Data Engineer specializing in Pricing Systems to join our team. In this role, you aren't just moving data; you are building the infrastructure that calculates real-time mortgage rates for thousands of families. You will manage the flow of financial data from secondary markets and internal systems into our proprietary pricing engines, ensuring AFC remains the leader in competitive interest rates and superior service.
What You Will Bring:
Technical Mastery:
Advanced proficiency in Python and SQL is required.
Mortgage Domain Knowledge:
Familiarity with mortgage pricing variables (FICO, LTV, DTI, LLPA) is highly preferred.
Pipeline Expertise:
Experience building real-time or near-real-time data pipelines using Apache Airflow, Kafka, or dbt .
Cloud Infrastructure:
Hands-on experience with cloud environments (e.g., AWS, Snowflake, or Azure ).
Mathematical Precision:
A high degree of comfort with financial logic and "pricing-math" to ensure rate accuracy.
Reliability:
Ability to thrive in a fast-paced environment where data uptime is critical to daily operations.
Duties and Responsibilities:
Develop and maintain automated data pipelines that ingest daily interest rate sheets and market data. Build "pricing-ready" datasets that integrate internal loan data with external market trends. Optimize the performance of our Pricing Engine's data retrieval to ensure instant quote generation for Loan Officers. Implement rigorous data validation checks to prevent "pricing errors" before they reach the consumer. Collaborate with the Secondary Marketing and Capital Markets teams to translate complex pricing models into scalable code. Ensure all data handling meets AFC's strict security standards and federal financial regulations.
Compensation:
$60 to $85 Hourly American Financing Corporation (AFC) is an Equal Opportunity Employer. AFC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis protected by law. All employment is decided on the basis of qualifications, merit and business need. Contract Data Engineer 2.7 2.7 out of 5 stars 3045 S Parker Rd Ste 100, Aurora, CO 80014 Hybrid work $60 an hour - Contract American Financing Corporation 116 reviews $60 an hour -
Contract Compensation:
$60 to $85 Hourly At American Financing, we're innovators with imagination. We do what it takes to help customers achieve their financial goals. And we stay ahead of the competition by challenging ourselves to become more efficient. We are one of the fastest-growing national mortgage lenders because we don't follow the status quo. See what it's like to work for a national mortgage lender that truly values its employees. Wherever your passions lie, you can find rewarding work and new opportunities here. Casual work environment Family-owned, Customer-focused Denver Post Top Workplace Top 50 Family-Owned Business Best of Colorado Business Inc. 5000 Fastest-growing Private Company
JOB SUMMARY
We are looking for a Contract Data Engineer specializing in Pricing Systems to join our team. In this role, you aren't just moving data; you are building the infrastructure that calculates real-time mortgage rates for thousands of families. You will manage the flow of financial data from secondary markets and internal systems into our proprietary pricing engines, ensuring AFC remains the leader in competitive interest rates and superior service.
What You Will Bring:
Technical Mastery:
Advanced proficiency in Python and SQL is required.
Mortgage Domain Knowledge:
Familiarity with mortgage pricing variables (FICO, LTV, DTI, LLPA) is highly preferred.
Pipeline Expertise:
Experience building real-time or near-real-time data pipelines using Apache Airflow, Kafka, or dbt .
Cloud Infrastructure:
Hands-on experience with cloud environments (e.g., AWS, Snowflake, or Azure ).
Mathematical Precision:
A high degree of comfort with financial logic and "pricing-math" to ensure rate accuracy.
Reliability:
Ability to thrive in a fast-paced environment where data uptime is critical to daily operations.
Duties and Responsibilities:
Develop and maintain automated data pipelines that ingest daily interest rate sheets and market data. Build "pricing-ready" datasets that integrate internal loan data with external market trends. Optimize the performance of our Pricing Engine's data retrieval to ensure instant quote generation for Loan Officers. Implement rigorous data validation checks to prevent "pricing errors" before they reach the consumer. Collaborate with the Secondary Marketing and Capital Markets teams to translate complex pricing models into scalable code. Ensure all data handling meets AFC's strict security standards and federal financial regulations.
Compensation:
$60 to $85 Hourly American Financing Corporation (AFC) is an Equal Opportunity Employer. AFC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis protected by law. All employment is decided on the basis of qualifications, merit and business need.

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