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American Financing

engineering opportunity

Data Systems Engineer

Design, develop, and maintain robust ETL/ELT data pipelines to ingest and transform mortgage data across cloud platforms. Partner with internal business stakeholders to optimize data models and ensure high availability for operational reporting.

Aurora, Colorado, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at American Financing?

Compensation

$100K - $105K annually

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

American Financing is seeking a detail-oriented, proactive, and analytical Data

Systems Engineer to join our technology team.

In this role, you will

  • be
  • responsible for building, optimizing, and maintaining data pipelines, database
  • architectures, and reporting systems that power our core mortgage operations. We
  • are a lean & agile team, so you must possess the ambition & flexibility to wear
  • multiple hats, write clean queries, troubleshoot data flow issues quickly, and
  • ensure our business teams have seamless access to reliable operational data.
  • WHAT YOU WILL BRING
  • * 3+ years of professional experience in data engineering, data systems
  • administration, or database management.
  • * Advanced proficiency in SQL, relational database management systems (RDBMS),
  • data warehousing technologies, and ETL tools. Experience with Python or
  • scripting for data automation is preferred.
  • * Hands-on experience working with cloud data solutions (e.g., GCP, BigQuery,
  • AWS, Azure) and BI tools. Experience with MS Excel, Access, and data modeling
  • frameworks.
  • * : Prior experience working with mortgage lending systems, Loan Origination
  • Systems (LOS), or financial services data is strongly preferred.
  • * Excellent written and oral communication skills, with a proven ability to
  • translate business reporting needs into technical data solutions.
  • * Bachelor’s degree in Data Engineering, Computer Science, Information Systems,
  • or equivalent practical experience.
  • DUTIES AND RESPONSIBILITIES
  • * Design, develop, and maintain robust ETL/ELT data pipelines to ingest,
  • transform, and move mortgage data across cloud database systems and analytics
  • platforms.
  • * Optimize SQL queries, data models, and database structures to ensure high
  • availability, scalability, and fast execution for operational reporting.
  • * Partner closely with internal business stakeholders (Sales, Processing,
  • Underwriting, and Executive teams) to deliver reliable data models that feed
  • reporting dashboards and business metrics.
  • * Monitor data integrity, troubleshoot data pipeline failures, and implement
  • automated data checks to maintain strict compliance and accuracy across
  • mortgage systems.
  • * Participate in daily technology team standups, document data architecture,
  • and adapt quickly to shifting business priorities.

Compensation

$100K - $105K annually

WHAT WE BRING

* Medical, Dental, Vision, 401k

* Paid time off and sick days

* Paid holidays

* Long-term paid disability

* Paid maternity and bonding leave

* Full desk equipment provided

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.

Which skills does this role require?

Database managementPythonData warehousingReporting systemsAnalytical skillsData Systems EngineerRDBMSData WarehousingLoan Origination SystemsDatabase ArchitectureAgileData Automation

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