Allstate
Data Engineer Senior Consultant
Key aspects of the role:
- Drive sales growth by engaging with interested prospective customers- all while working remote
- No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
- Enjoy competitive compensation with a base salary + uncapped performance-based incentives
- Sell reputable products from Allstate and our family of brands
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Responsible for the design, development, and maintenance of the data pipelines, models, and architecture that move data from its source through to a marketing semantic layer, and for ensuring that data is structured, reliable, and ready for use. This role is the accountable technical owner of that semantic layer, built on large centralized semantic models that sit on top of the raw data tables and turn them into a single, trusted source of truth, with every metric defined once and defined consistently. In practical terms, it connects marketing spend to quotes, to policies, and to customer lifetime value, and it is what marketing leadership reads when deciding where campaign dollars go. Built entirely on Microsoft Fabric, this is a hands-on build-and-own role: the person in this seat decides how the semantic layer is structured, defends those decisions to the teams that depend on them, and is the escalation point when the model and the business disagree about what a number means. This is not a report building role and it is not a request queue.
Key Responsibilities
- Design, develop, and maintain the data pipelines and backend queries that populate the semantic layer, maintaining separation between raw, clean, and reporting layers so business logic lives where it belongs and not in the reporting layer.
- Own the data modeling and architecture of the semantic layer end to end: structure, relationships, storage mode, and refresh behavior, including the architectural decisions behind each.
- Author, maintain, and performance-tune the DAX measure layer, including the measure patterns downstream report builders depend on.
- Implement and maintain data frameworks and architectures that keep the platform's data consistent, accurate, and ready for use.
- Produce and maintain model documentation as a first-class deliverable, since the semantic layer serves report builders, analysts, and stakeholders who did not build it.
- Combine, optimize, and manage multiple upstream data sources, partnering with the business intelligence and data engineering teams on source changes, deployment practices, and promotion of work from development into production.
- Serve as the technical point of contact when downstream consumers report the model is wrong, and own the investigation through to root cause and fix.
- Perform on-demand analysis of complex data to identify strategic opportunities and efficiencies and to keep key business metrics accurate and trustworthy.
- Mentor apprentice team members working on model quality assurance and report migration, and review their work.
- Contribute to the department's applied AI efforts, including agent-based access to model documentation and semantic models.
Required Qualifications
- Strong SQL, including T-SQL, sufficient to write, review, and debug production analytical queries, and to recognize when generated or inherited code is incorrect rather than merely plausible.
- Python, sufficient to build and maintain data transformation notebooks.
- DAX, including measure authoring, performance tuning, and evaluation context.
- Demonstrated experience owning a large, centralized semantic model or semantic layer, or an equivalent analytical data product, including responsibility for its structure rather than only its contents.
- Experience working with data engineering and business intelligence partners on shared infrastructure.
- Ability to make and defend architectural decisions independently, and to explain the tradeoffs to both technical and business audiences.
Preferred Qualifications
- Microsoft Fabric experience (pipelines, lakehouses, warehouse, Direct Lake semantic models). Fabric experience is rare and learnable on the job by a strong candidate, so this is preferred rather than required.
- Tabular Editor.
- Marketing measurement or attribution background: how spend connects to quotes, binds, policies, and lifetime value.
- Insurance industry experience.
- Experience building or operating data quality frameworks.
Skills DAX, Data Analytics, Data Modeling, Data Pipelines, Data Quality, Large Semantic Models, Microsoft Fabric, Microsoft Power BI, Python, Semantic Data Modeling, Semantic Layer, SQL, Technical Documentation, Tabular Editor
Experience
- 3 or more years of experience (Preferred)
Supervisory Responsibilities
- This job does not have supervisory duties. It does carry technical mentorship responsibility for apprentice team members.
Skills
Big Data Analytics, Business Intelligence (BI), Data Analytics, Data Engineering, Data Modeling, Data Pipelines, Data Quality, Data Transformation, Python (Programming Language), Semantic Modeling, Structured Query Language (SQL)
Compensation
Compensation offered for this role is 70,100.00 – 121,475.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Sales
What We Do:
As an expert on our products and services, you can give customers personalized attention and innovative solutions to make their lives easier.
How We Support You:
Starting day one, you’ll have access to resources and incentives to keep you feeling challenged and excited about your careers.
Make An Impact:
As a member of our sales team, you’ll bring a sense of ease and support to customers looking for a better understanding of their protection options. Whether in the field or talking to customers over the phone, you’ll continue to build trust in who we are and what we do.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Responsible for the design, development, and maintenance of the data pipelines, models, and architecture that move data from its source through to a marketing semantic layer, and for ensuring that data is structured, reliable, and ready for use. This role is the accountable technical owner of that semantic layer, built on large centralized semantic models that sit on top of the raw data tables and turn them into a single, trusted source of truth, with every metric defined once and defined consistently. In practical terms, it connects marketing spend to quotes, to policies, and to customer lifetime value, and it is what marketing leadership reads when deciding where campaign dollars go. Built entirely on Microsoft Fabric, this is a hands-on build-and-own role: the person in this seat decides how the semantic layer is structured, defends those decisions to the teams that depend on them, and is the escalation point when the model and the business disagree about what a number means. This is not a report building role and it is not a request queue.
Key Responsibilities
- Design, develop, and maintain the data pipelines and backend queries that populate the semantic layer, maintaining separation between raw, clean, and reporting layers so business logic lives where it belongs and not in the reporting layer.
- Own the data modeling and architecture of the semantic layer end to end: structure, relationships, storage mode, and refresh behavior, including the architectural decisions behind each.
- Author, maintain, and performance-tune the DAX measure layer, including the measure patterns downstream report builders depend on.
- Implement and maintain data frameworks and architectures that keep the platform's data consistent, accurate, and ready for use.
- Produce and maintain model documentation as a first-class deliverable, since the semantic layer serves report builders, analysts, and stakeholders who did not build it.
- Combine, optimize, and manage multiple upstream data sources, partnering with the business intelligence and data engineering teams on source changes, deployment practices, and promotion of work from development into production.
- Serve as the technical point of contact when downstream consumers report the model is wrong, and own the investigation through to root cause and fix.
- Perform on-demand analysis of complex data to identify strategic opportunities and efficiencies and to keep key business metrics accurate and trustworthy.
- Mentor apprentice team members working on model quality assurance and report migration, and review their work.
- Contribute to the department's applied AI efforts, including agent-based access to model documentation and semantic models.
Required Qualifications
- Strong SQL, including T-SQL, sufficient to write, review, and debug production analytical queries, and to recognize when generated or inherited code is incorrect rather than merely plausible.
- Python, sufficient to build and maintain data transformation notebooks.
- DAX, including measure authoring, performance tuning, and evaluation context.
- Demonstrated experience owning a large, centralized semantic model or semantic layer, or an equivalent analytical data product, including responsibility for its structure rather than only its contents.
- Experience working with data engineering and business intelligence partners on shared infrastructure.
- Ability to make and defend architectural decisions independently, and to explain the tradeoffs to both technical and business audiences.
Preferred Qualifications
- Microsoft Fabric experience (pipelines, lakehouses, warehouse, Direct Lake semantic models). Fabric experience is rare and learnable on the job by a strong candidate, so this is preferred rather than required.
- Tabular Editor.
- Marketing measurement or attribution background: how spend connects to quotes, binds, policies, and lifetime value.
- Insurance industry experience.
- Experience building or operating data quality frameworks.
Skills DAX, Data Analytics, Data Modeling, Data Pipelines, Data Quality, Large Semantic Models, Microsoft Fabric, Microsoft Power BI, Python, Semantic Data Modeling, Semantic Layer, SQL, Technical Documentation, Tabular Editor
Experience
- 3 or more years of experience (Preferred)
Supervisory Responsibilities
- This job does not have supervisory duties. It does carry technical mentorship responsibility for apprentice team members.
Skills
Big Data Analytics, Business Intelligence (BI), Data Analytics, Data Engineering, Data Modeling, Data Pipelines, Data Quality, Data Transformation, Python (Programming Language), Semantic Modeling, Structured Query Language (SQL)
Compensation
Compensation offered for this role is 70,100.00 – 121,475.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Claims
What We Do:
Your ability to quickly and calmly make smart decisions can make a huge difference in how confident customers feel throughout the claims process. And as you support our customers, we’re there to support you.
How We Support You:
We empower your success starting day one. You’ll have access to everything you need to grow professionally while helping our customers get their lives back on track.
Make An Impact:
Helping customers with their claims is about learning their stories, not just processing their paperwork. You can take pride in the fact that you’re providing invaluable guidance and helping to build continued trust in our company.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Responsible for the design, development, and maintenance of the data pipelines, models, and architecture that move data from its source through to a marketing semantic layer, and for ensuring that data is structured, reliable, and ready for use. This role is the accountable technical owner of that semantic layer, built on large centralized semantic models that sit on top of the raw data tables and turn them into a single, trusted source of truth, with every metric defined once and defined consistently. In practical terms, it connects marketing spend to quotes, to policies, and to customer lifetime value, and it is what marketing leadership reads when deciding where campaign dollars go. Built entirely on Microsoft Fabric, this is a hands-on build-and-own role: the person in this seat decides how the semantic layer is structured, defends those decisions to the teams that depend on them, and is the escalation point when the model and the business disagree about what a number means. This is not a report building role and it is not a request queue.
Key Responsibilities
- Design, develop, and maintain the data pipelines and backend queries that populate the semantic layer, maintaining separation between raw, clean, and reporting layers so business logic lives where it belongs and not in the reporting layer.
- Own the data modeling and architecture of the semantic layer end to end: structure, relationships, storage mode, and refresh behavior, including the architectural decisions behind each.
- Author, maintain, and performance-tune the DAX measure layer, including the measure patterns downstream report builders depend on.
- Implement and maintain data frameworks and architectures that keep the platform's data consistent, accurate, and ready for use.
- Produce and maintain model documentation as a first-class deliverable, since the semantic layer serves report builders, analysts, and stakeholders who did not build it.
- Combine, optimize, and manage multiple upstream data sources, partnering with the business intelligence and data engineering teams on source changes, deployment practices, and promotion of work from development into production.
- Serve as the technical point of contact when downstream consumers report the model is wrong, and own the investigation through to root cause and fix.
- Perform on-demand analysis of complex data to identify strategic opportunities and efficiencies and to keep key business metrics accurate and trustworthy.
- Mentor apprentice team members working on model quality assurance and report migration, and review their work.
- Contribute to the department's applied AI efforts, including agent-based access to model documentation and semantic models.
Required Qualifications
- Strong SQL, including T-SQL, sufficient to write, review, and debug production analytical queries, and to recognize when generated or inherited code is incorrect rather than merely plausible.
- Python, sufficient to build and maintain data transformation notebooks.
- DAX, including measure authoring, performance tuning, and evaluation context.
- Demonstrated experience owning a large, centralized semantic model or semantic layer, or an equivalent analytical data product, including responsibility for its structure rather than only its contents.
- Experience working with data engineering and business intelligence partners on shared infrastructure.
- Ability to make and defend architectural decisions independently, and to explain the tradeoffs to both technical and business audiences.
Preferred Qualifications
- Microsoft Fabric experience (pipelines, lakehouses, warehouse, Direct Lake semantic models). Fabric experience is rare and learnable on the job by a strong candidate, so this is preferred rather than required.
- Tabular Editor.
- Marketing measurement or attribution background: how spend connects to quotes, binds, policies, and lifetime value.
- Insurance industry experience.
- Experience building or operating data quality frameworks.
Skills DAX, Data Analytics, Data Modeling, Data Pipelines, Data Quality, Large Semantic Models, Microsoft Fabric, Microsoft Power BI, Python, Semantic Data Modeling, Semantic Layer, SQL, Technical Documentation, Tabular Editor
Experience
- 3 or more years of experience (Preferred)
Supervisory Responsibilities
- This job does not have supervisory duties. It does carry technical mentorship responsibility for apprentice team members.
Skills
Big Data Analytics, Business Intelligence (BI), Data Analytics, Data Engineering, Data Modeling, Data Pipelines, Data Quality, Data Transformation, Python (Programming Language), Semantic Modeling, Structured Query Language (SQL)
Compensation
Compensation offered for this role is 70,100.00 – 121,475.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance.
For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.
To view the “EEO Know Your Rights” poster click “here”. This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.
To view the FMLA poster, click “here”. This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.
Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.
When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview. If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.
Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Benefits
Experience the benefits that make Allstate a great place to work.
*Benefits vary based on position.
Health
- Medical, dental and vision coverage
- HSAs and FSAs
- Wellbeing programs
- Free therapy sessions
Retirement
- 401(k) plan
- Pension plan
- Free financial counseling
Work-life balance
- Paid time off
- Work flexibility
Career development
- Talent shares
- Tuition reimbursement
- Learning opportunities
For a full description of Allstate’s benefits visit our benefits page
Start making a difference
Realize your full potential by doing
work that matters.
Grow your career in meaningful ways.
We want to make sure you have every opportunity to grow, explore new horizons and follow your passion in a meaningful career. It’s an exciting time to join Allstate. Help us shape the future.
Ryan / 8 years with Allstate
Business Architect Lead Consultant
June 2025 – Present
Anthony / 11 years with Allstate
New Agent Leader- EA Channel
February 2026 – Present
Michael / 25 years with Allstate
Property Delivery Director
2023 – Present/Remote
Bree / 11 years with Allstate
Unrepresented Bodily Injury Adjuster
December 2022 – Present
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