Home › Companies › Anza Mortgage Insurance Corporation › ML 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
| Field | Value |
|---|---|
| Company | Anza Mortgage Insurance Corporation |
| Title | ML Data Engineer - Mortgage Credit Risk |
| Normalized title | - |
| Department / team | Credit Risk & Data Analytics |
| Location | Wilmington, NC, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-04-08 / 2026-05-29 |
| Changed / last seen | 2026-06-20 / 2026-06-20 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Anza Mortgage Insurance Corporation. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Wilmington. | Open |
| Department jobs | Active postings in Credit Risk & Data Analytics. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Anza Mortgage Insurance Corporation |
| Source | d925c713-388d-43d5-92c9-41c2ccaaeb27 |
| ATS provider | Rippling 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
| Job ID | e567691169eea35ecbc6b8e7239295c7861915ba |
| Org ID | ab09e59a-a58e-4963-b3b8-53ca6aded373 |
| Source ID | d925c713-388d-43d5-92c9-41c2ccaaeb27 |
| Board ID | d925c713-388d-43d5-92c9-41c2ccaaeb27 |
| Provider | rippling |
| Provider Job Key | 009b8484-e46d-41a8-9469-fc520e3448fa |
| Title | ML Data Engineer - Mortgage Credit Risk |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Wilmington, NC, United States |
| Department | Credit Risk & Data Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NC |
| City | Wilmington |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/anza-mortgage-insurance-company/jobs/009b8484-e46d-41a8-9469-fc520e3448fa |
| Apply URL | https://ats.rippling.com/anza-mortgage-insurance-company/jobs/009b8484-e46d-41a8-9469-fc520e3448fa |
| First Seen At | 2026-05-29 07:13:01Z |
| Last Seen At | 2026-06-20 09:35:19Z |
| Last Checked At | 2026-06-20 09:35:19Z |
| Last Changed At | 2026-06-20 09:35:19Z |
| Inactive At | — |
| Source Posted At | 2026-04-08 21:21:03Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=anza-mortgage-insurance-company/date=2026-06-20/2026-06-20T09-35-18-190Z-787e5a311512f877b1cee47559c233fa76c618219a38ecd1826fd593efa4e936.json |
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and Integration: Implement and maintain scalable and reliable ETL/ELT data pipelines to support analytics and modeling workflows. </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. </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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. </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 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"allowComments": false,
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},
{
"tags": [],
"title": "What is your earliest available start date?",
"canEdit": false,
"dataType": "Date",
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"uniqueKey": "dab80ecb-697d-4985-97d6-f27fb599b52a",
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"questionType": "DATE",
"allowComments": false,
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}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Work Authorization"
}
]
},
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"eeocQuestionnaireEnabled": true,
"applicationConfirmationTemplate": "67c61017e0f965d97a8ac8e7",
"eeocQuestionnaireEnabledForJobPost": true
},
"detail_meta": {
"url": "https://ats.rippling.com/api/v2/board/anza-mortgage-insurance-company/jobs/009b8484-e46d-41a8-9469-fc520e3448fa",
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"detail_errors": []
}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=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/ab09e59a-a58e-4963-b3b8-53ca6aded373JSONGET https://api.bluedoor.sh/job-postings/v1/sources/d925c713-388d-43d5-92c9-41c2ccaaeb27JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/e567691169eea35ecbc6b8e7239295c7861915ba/eventsJSON