Home › Companies › Amfam › Senior Data Engineer (Hybrid)
Senior Data Engineer (Hybrid)
Amfam · WI Madison · Hybrid · Active · $99,000–$167,000 / year · Workday Recruiting
Job facts
| Field | Value |
|---|---|
| Company | Amfam |
| Title | Senior Data Engineer (Hybrid) |
| Normalized title | - |
| Department / team | - |
| Location | United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $99,000–$167,000 / year |
| Status | active |
| ATS provider | Workday Recruiting |
| Posted / first seen | 2026-06-18 / 2026-06-19 |
| Changed / last seen | 2026-06-19 / 2026-06-19 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Amfam. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Workday Recruiting. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Work model jobs | Active Hybrid 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 | Amfam |
| Source | 32b17c4e-8ae0-44a6-8434-f5e0f69ad0ab |
| ATS provider | Workday Recruiting |
Description
American Family Insurance looking for a experienced and driven Senior Data Engineer to guide our Data Platform team. In this important role, you will oversee a team of engineers in advancing our service-oriented data and AI platform. The Data and AI Platform team influences multiple departments, including security and AI, at AmFam. You will create tools and infrastructure that empower other teams and departments within American Family Insurance.
You will report to a Senior Manager, Data Engineering.
In this flex office/home role, you will be expected to work a minimum of 10 days per month from the following office location: Madison, WI 53783.
#LI-Hybrid
Position Compensation Range:
$99,000.00 - $167,000.00
Pay Rate Type:
Salary
Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.
Primary Accountabilities Partner with stakeholders to refine undefined use cases into clear requirements, translate those into technical specs, and implement working solutions.
Design and build platform capabilities that multiple teams consume, including feature stores, observability tooling, evaluation pipelines, and deployment patterns.
Define and implement reusable patterns and infrastructure: shared LLM serving, evaluation frameworks, CI/CD templates, internal SDKs.
Assess existing AI applications and establish standards for code quality, testing, deployment, and observability.
Mentor data scientist and data engineers, conduct meaningful code reviews, and provide architectural guidance across the platform.
Facilitate communication across project teams, architects, and business partners.
Document critical workflows, standards, and operational support aspects of the platform.
Specialized Knowledge & Skills Requirements Demonstrated experience building AI/ML systems that run in production at scale - not notebooks or prototypes, but real software serving real users.
Proven ability to take ambiguous, undefined problems and deliver shipped products.
Strong system design skills with an emphasis on scalability, failure modes, and long-term maintainability.
Deep software engineering fundamentals: experience with large codebases, design patterns, testability, and enterprise SDLC.
Hands-on experience with LLMs in production: RAG, agents, evaluation, prompt engineering, or fine-tuning.
Expert-level Python programming in a software engineering context, not just scripting or pipelines.
Experience designing and building APIs for internal or external consumption.
Deep experience with GCP, specifically Vertex AI, Pub/Sub, BigQuery, and NoSQL databases (e.g., Firestore, Bigtable).
Applied knowledge of Kubernetes for container orchestration and workload management.
Experience with infrastructure-as-code tools (e.g., Terraform, Docker) and CI/CD pipelines.
Travel Requirements Up to 10%.
Additional Information To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability. Offer to selected candidate will be made contingent on the results of applicable background checks Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions Sponsorship will not be considered for this position unless specified in the posting
We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.
We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email [email protected] to request a reasonable accommodation.
#LI-DB1
Full job record
| Job ID | 6e8c18a56cceb0c0761ade90bb24152fb0db82ea |
| Org ID | 91b81498-0ff7-4f25-a1f0-37219bd71343 |
| Source ID | 32b17c4e-8ae0-44a6-8434-f5e0f69ad0ab |
| Board ID | 32b17c4e-8ae0-44a6-8434-f5e0f69ad0ab |
| Provider | workday |
| Provider Job Key | /job/WI-Madison/Senior-Data-Engineer--Hybrid-_R39027 |
| Title | Senior Data Engineer (Hybrid) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | WI Madison |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | Compensation Range: $99,000.00 - $167,000.00 Pay Rate Type: Salary Compensation may vary based on the job level and your geo |
| Salary Min | 99,000 |
| Salary Max | 167,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://amfam.wd1.myworkdayjobs.com/Careers/job/WI-Madison/Senior-Data-Engineer--Hybrid-_R39027 |
| Apply URL | https://amfam.wd1.myworkdayjobs.com/Careers/job/WI-Madison/Senior-Data-Engineer--Hybrid-_R39027 |
| First Seen At | 2026-06-19 09:27:43Z |
| Last Seen At | 2026-06-19 09:27:43Z |
| Last Checked At | 2026-06-19 09:27:43Z |
| Last Changed At | 2026-06-19 09:27:43Z |
| Inactive At | — |
| Source Posted At | 2026-06-18 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=workday/board=amfam.wd1.myworkdayjobs.com|amfam|Careers/date=2026-06-19/2026-06-19T09-27-35-456Z-bdd3b23432000546c306ea91e49879ab0c3a500b34a9bd9d64bb676cf1c15c20.json |
Event Fields
{
"content_hash": "c72d1d226186e32442e45473f5aab45d523a9c665a8c5f922263976b8e7aabe3",
"source_hash": "5c7effb010424ba50fbbeb9fd6e77fb697ed0cddfacc0f37c82ed4d782976071",
"last_changed_at": "2026-06-19T09:27:43.060Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "WI Madison",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"salary_max": 167000,
"salary_min": 99000,
"inferred_at": "2026-06-19T09:27:42.960Z",
"launch_scope": {
"reason": "workday_production_catalog",
"included": true,
"location": {
"raw": "WI Madison",
"city": null,
"region": null,
"country": "United States",
"is_remote": false,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "year",
"workplace_type": "hybrid",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"list_job": {
"title": "Senior Data Engineer (Hybrid)",
"postedOn": "Posted Yesterday",
"remoteType": "Hybrid",
"bulletFields": [
"R39027",
"AFMIC American Family Mutual Insurance Company, S.I."
],
"externalPath": "/job/WI-Madison/Senior-Data-Engineer--Hybrid-_R39027",
"locationsText": "WI Madison"
},
"detail_errors": [],
"detail_job_posting_info": {
"id": "82f11f7f106c1001bb82af394fef0000",
"title": "Senior Data Engineer (Hybrid)",
"posted": true,
"country": {
"id": "bc33aa3152ec42d4995f4791a106ed09",
"descriptor": "United States of America"
},
"endDate": "2026-06-27",
"canApply": true,
"jobReqId": "R39027",
"location": "WI Madison",
"postedOn": "Posted Yesterday",
"timeType": "Full time",
"startDate": "2026-06-18",
"remoteType": "Hybrid",
"externalUrl": "https://amfam.wd1.myworkdayjobs.com/Careers/job/WI-Madison/Senior-Data-Engineer--Hybrid-_R39027",
"jobPostingId": "Senior-Data-Engineer--Hybrid-_R39027",
"jobDescription": "American Family Insurance looking for a experienced and driven Senior Data Engineer to guide our Data Platform team. In this important role, you will oversee a team of engineers in advancing our service-oriented data and AI platform. The Data and AI Platform team influences multiple departments, including security and AI, at AmFam. You will create tools and infrastructure that empower other teams and departments within American Family Insurance.<br><br>You will report to a Senior Manager, Data Engineering.<br><br>In this flex office/home role, you will be expected to work a minimum of 10 days per month from the following office location: Madison, WI 53783.<br><br>#LI-Hybrid<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">Position Compensation Range:</p>$99,000.00 - $167,000.00<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\">Pay Rate Type:</p>Salary<p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><i>Compensation may vary based on the job level and your geographic work location. </i><i><span>Relocation support is offered for eligible candidates.</span></i></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><h3>Primary Accountabilities</h3><ul><li><p>Partner with stakeholders to refine undefined use cases into clear requirements, translate those into technical specs, and implement working solutions.</p></li><li><p>Design and build platform capabilities that multiple teams consume, including feature stores, observability tooling, evaluation pipelines, and deployment patterns.</p></li><li><p>Define and implement reusable patterns and infrastructure: shared LLM serving, evaluation frameworks, CI/CD templates, internal SDKs.</p></li><li><p>Assess existing AI applications and establish standards for code quality, testing, deployment, and observability.</p></li><li><p>Mentor data scientist and data engineers, conduct meaningful code reviews, and provide architectural guidance across the platform.</p></li><li><p>Facilitate communication across project teams, architects, and business partners.</p></li><li><p>Document critical workflows, standards, and operational support aspects of the platform.</p></li></ul><p></p><h3>Specialized Knowledge & Skills Requirements</h3><ul><li><p>Demonstrated experience building AI/ML systems that run in production at scale - not notebooks or prototypes, but real software serving real users.</p></li><li><p>Proven ability to take ambiguous, undefined problems and deliver shipped products.</p></li><li><p>Strong system design skills with an emphasis on scalability, failure modes, and long-term maintainability.</p></li><li><p>Deep software engineering fundamentals: experience with large codebases, design patterns, testability, and enterprise SDLC.</p></li><li><p>Hands-on experience with LLMs in production: RAG, agents, evaluation, prompt engineering, or fine-tuning.</p></li><li><p>Expert-level Python programming in a software engineering context, not just scripting or pipelines.</p></li><li><p>Experience designing and building APIs for internal or external consumption.</p></li><li><p>Deep experience with GCP, specifically Vertex AI, Pub/Sub, BigQuery, and NoSQL databases (e.g., Firestore, Bigtable).</p></li><li><p>Applied knowledge of Kubernetes for container orchestration and workload management.</p></li><li><p>Experience with infrastructure-as-code tools (e.g., Terraform, Docker) and CI/CD pipelines.</p></li></ul><p></p><h3>Travel Requirements</h3><ul><li><p>Up to 10%.</p></li></ul><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><h3>Additional Information</h3><ul><li><span style=\"color:#242424\">To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability. </span></li><li>Offer to selected candidate will be made contingent on the results of applicable background checks</li><li>Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions</li><li>Sponsorship will not be considered for this position unless specified in the posting</li></ul><br /><br /><br /><br /><br /><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><span>We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.</span></p><p></p><p><span>We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.</span></p><p></p><p>American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email <a href=\"mailto:AskHR@AmFam.com\" target=\"_blank\">AskHR@AmFam.com</a> to request a reasonable accommodation.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p><p style=\"text-align:inherit\"></p>#LI-DB1",
"questionnaireId": "f0e7e14937651001f38066deb6580000",
"timeLeftToApply": "7 days left to apply",
"jobPostingSiteId": "Careers",
"includeResumeParsing": true,
"jobRequisitionLocation": {
"country": {
"id": "bc33aa3152ec42d4995f4791a106ed09",
"alpha2Code": "US",
"descriptor": "United States of America"
},
"descriptor": "AF-WI Madison Natl HQ"
},
"jobPostingEndDateAsText": "End Date: June 27, 2026"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/6e8c18a56cceb0c0761ade90bb24152fb0db82ea?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/91b81498-0ff7-4f25-a1f0-37219bd71343JSONGET https://api.bluedoor.sh/job-postings/v1/sources/32b17c4e-8ae0-44a6-8434-f5e0f69ad0abJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/6e8c18a56cceb0c0761ade90bb24152fb0db82ea/eventsJSON