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HomeCompaniesAnza Mortgage Insurance CorporationML Data Engineer - Mortgage Credit Risk

ML Data Engineer - Mortgage Credit Risk

Anza Mortgage Insurance Corporation · Wilmington, NC, United States · On Site · Active · Rippling ATS

Job facts

FieldValue
CompanyAnza Mortgage Insurance Corporation
TitleML Data Engineer - Mortgage Credit Risk
Normalized title-
Department / teamCredit Risk & Data Analytics
LocationWilmington, NC, United States
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerRippling ATS
Posted / first seen2026-04-08 / 2026-05-29
Changed / last seen2026-06-20 / 2026-06-20

Related slices

PageWhat it containsOpen
Company jobsActive postings from Anza Mortgage Insurance Corporation.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Wilmington.Open
Department jobsActive postings in Credit Risk & Data Analytics.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAnza Mortgage Insurance Corporation
Sourced925c713-388d-43d5-92c9-41c2ccaaeb27
ATS providerRippling ATS

Description

company Anza MI is a fintech startup using technology and analytics to drive growth & innovation within the US mortgage market. role About the role As a ML Data Engineer embedded in Anza MI’s Data Science practice, you will be a key enabler of our efforts to automate key business processes. The team uses a cloud-native technology stack to analyze mortgage-related data, train a suite of predictive models, and automate operational processes. Your primary responsibility will be to use document processing solutions to automate and streamline our Quality Control and Independent Validation operations. You will have the opportunity to develop across these skills dimensions through mentorship and your portfolio of work. In addition to working within the Data Science function, you will also be responsible for learning and adhering to the engineering best practices established by the wider Technology organization to ensure alignment and consistency. A ML Data Engineer will work autonomously and in partnership with more senior members of the team as well as work closely with business partners. What you'll do Data Pipeline and Integration: Implement and maintain scalable and reliable ETL/ELT data pipelines to support analytics and modeling workflows. Infrastructure and Tools: Build and maintain critical data infrastructure on Databricks. Document Processing: Help build a greenfield automated system that uses AI/ML to extract and analyze data from large mortgage document packets. Team Collaboration: Work with the Senior Data Engineer, facilitate the Data Science team’s goals, and follow engineering practices of the Technology team. Continuous Learning: Improve engineering skills as well as knowledge of our market and business (mortgage and housing finance). Qualifications Minimum Education Bachelor’s degree in computer science, Engineering, Data Science, or related fields. Minimum Years of Experience 0 to 2 years Minimum Skills Proficiency in Python and SQL, a solid understanding of cloud platforms (e.g. AWS, Azure), orchestration tools (e.g. Airflow, dbt) and data modeling. Preferred Education Master’s degree in computer science, engineering, data science, or related fields. Preferred Years of Experience 1 to 2 Years Preferred Skills Proficiency in Apache Spark, software engineering and CI/CD practices. Experience with data analysis in a business setting.

Full job record

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Org IDab09e59a-a58e-4963-b3b8-53ca6aded373
Source IDd925c713-388d-43d5-92c9-41c2ccaaeb27
Board IDd925c713-388d-43d5-92c9-41c2ccaaeb27
Providerrippling
Provider Job Key009b8484-e46d-41a8-9469-fc520e3448fa
TitleML Data Engineer - Mortgage Credit Risk
Normalized Title
Statusactive
Activeyes
Location TextWilmington, NC, United States
DepartmentCredit Risk & Data Analytics
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNC
CityWilmington
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://ats.rippling.com/anza-mortgage-insurance-company/jobs/009b8484-e46d-41a8-9469-fc520e3448fa
Apply URLhttps://ats.rippling.com/anza-mortgage-insurance-company/jobs/009b8484-e46d-41a8-9469-fc520e3448fa
First Seen At2026-05-29 07:13:01Z
Last Seen At2026-06-20 09:35:19Z
Last Checked At2026-06-20 09:35:19Z
Last Changed At2026-06-20 09:35:19Z
Inactive At
Source Posted At2026-04-08 21:21:03Z
Source Updated At
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the role</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">As a ML Data Engineer embedded in Anza MI’s Data Science practice, you will be a key enabler of our efforts to automate key business processes. The team uses a cloud-native technology stack to analyze mortgage-related data, train a suite of predictive models, and automate operational processes.&nbsp;Your primary responsibility will be to use document processing solutions to automate and streamline our Quality Control and Independent Validation operations.&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">You will have the opportunity to develop across these skills dimensions through mentorship and your portfolio of work.&nbsp;In addition to working within the Data&nbsp;Science function, you will also be responsible for learning and adhering to the engineering best practices established by the wider Technology organization to ensure alignment and consistency. A&nbsp;ML Data Engineer will work autonomously and in partnership with more senior members of the team as well as work closely with business partners.&nbsp;&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">What you'll do</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Data Pipeline and Integration: Implement and maintain scalable and reliable ETL/ELT data pipelines to support analytics and modeling workflows.&nbsp;&nbsp;</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Infrastructure and Tools: Build and maintain critical data infrastructure on Databricks.&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Document Processing: Help build a greenfield automated system that uses AI/ML to extract and analyze data from large mortgage document packets.</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:10pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Team Collaboration: Work with the Senior Data Engineer, facilitate the Data Science team’s goals, and follow engineering practices of the Technology team.&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:10pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Continuous Learning: Improve engineering skills as well as knowledge of our market and business (mortgage and housing finance).&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Qualifications</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Minimum Education</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Bachelor’s degree in computer science, Engineering, Data Science, or related fields.&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Minimum Years of Experience</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">0 to 2 years</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Minimum Skills</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Proficiency in Python&nbsp;and SQL, a solid understanding of cloud platforms (e.g. AWS, Azure), orchestration tools (e.g. Airflow, dbt) and data modeling.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Preferred Education</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"--listitem-marker-color:#000000;font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Master’s degree in computer science, engineering, data science, or related fields.&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Preferred Years of 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    "applicationConfirmationTemplate": "67c61017e0f965d97a8ac8e7",
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  "detail_meta": {
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}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/e567691169eea35ecbc6b8e7239295c7861915ba?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/ab09e59a-a58e-4963-b3b8-53ca6aded373JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/d925c713-388d-43d5-92c9-41c2ccaaeb27JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/e567691169eea35ecbc6b8e7239295c7861915ba/eventsJSON