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
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.
We are seeking a highly skilled and experienced Senior Data Engineer with extensive professional experience in full-stack data engineering, including hands-on expertise in the development of large-scale data platforms and machine learning pipelines. In this role, you’ll design, develop, and optimize scalable data and ML workflows to support our growing telematics business needs. As a key member of the Data Analytics Engineering Team, you’ll enable data-driven decision-making by building robust pipelines, efficient architectures, and impactful ML solutions.
Key Responsibilities:
-
Design, build, and maintain end-to-end data and machine learning pipelines to support analytics, reporting, and AI-driven applications.
-
Develop and optimize scalable ETL/ELT processes to extract, transform, and load data from diverse sources into a cloud-based platform.
-
Architect and manage data storage solutions within the data platform (e.g., data lakes, warehouses, and marts) to enable advanced analytics and machine learning.
-
Implement and manage ML pipelines, building feature pipelines and deploying models.
-
Collaborate with data scientists, analysts, and software engineering to integrate data products into business workflows.
-
Ensure data quality, consistency, and governance by implementing robust monitoring, validation, and alerting mechanisms.
-
Lead the adoption of new cloud-native technologies to streamline and enhance data and ML operations.
-
Mentor junior data engineers, fostering a culture of innovation and knowledge-sharing within the team.
Qualifications:
-
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related field. A Master’s degree is preferred.
-
5+ years of professional experience in data engineering, including end-to-end pipeline development and cloud integration.
-
Proven experience with machine learning workflows, including data preparation, feature engineering, and model deployment.
-
Proficiency in programming languages such as Python, Scala, or Java, with an emphasis on ML libraries like TensorFlow, PyTorch, or Scikit-learn.
-
Strong knowledge of data processing frameworks (e.g., Apache Spark, Flink, Beam) and real-time data streaming (e.g., Kafka, Kinesis).
-
Hands-on expertise with AWS or GCP ecosystems, including tools like:
-
AWS: SageMaker, Redshift, Glue, Athena, EMR
-
GCP: BigQuery, Vertex AI, Dataflow, Dataproc
-
-
Solid understanding of relational and non-relational database systems (SQL, NoSQL).
-
Experience with data orchestration tools (e.g., Airflow, Prefect, dbt) and CI/CD practices.
-
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
Preferred Skills:
-
Experience with geospatial data like trajectories.
-
Experience deploying machine learning models into production environments with monitoring and optimization strategies.
-
Familiarity with cloud security and compliance best practices for data and ML workflows.
-
Proficiency in BI tools (e.g., Tableau, Looker, Power BI) and data visualization.
-
Strong understanding of MLOps practices and tools for automated ML lifecycle management.
Relevant certifications in cloud platforms (e.g., AWS Data Engineer, Machine Learning Engineer; Google Cloud Professional ML Engineer, Professional Data Engineer) are a plus.
Skills
Business Data Analytics, Computer Science, Data Analytics, Data Science, Machine Learning, Predictive Modeling, Python (Programming Language)
Compensation
Compensation offered for this role is $85,600.00 – 152,650.00 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. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
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 is the Law” 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.
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 our employees, too.
As part of our team, we want you to love where you work, and that starts by giving you the freedom to be yourself. Our workplace flexibility and focus on inclusion creates an environment where you can connect and belong. Our goal is for you to feel trusted, heard and empowered to express yourself. When you thrive, we all thrive. And this year, we’re proud to share that we’ve been recognized by Forbes as one of America’s Best Employers For Diversity, and one of America’s Best Large Employers.
When you join us, you’ll have the opportunity to push your skills to the next level each day. Our dedication to continuous learning ensures that you have access to development programs designed to propel your career forward. As you learn and grow, so do we.
Working here also means getting the chance to do meaningful work and 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.
Good Hands. Greater 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
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.
We are seeking a highly skilled and experienced Senior Data Engineer with extensive professional experience in full-stack data engineering, including hands-on expertise in the development of large-scale data platforms and machine learning pipelines. In this role, you’ll design, develop, and optimize scalable data and ML workflows to support our growing telematics business needs. As a key member of the Data Analytics Engineering Team, you’ll enable data-driven decision-making by building robust pipelines, efficient architectures, and impactful ML solutions.
Key Responsibilities:
-
Design, build, and maintain end-to-end data and machine learning pipelines to support analytics, reporting, and AI-driven applications.
-
Develop and optimize scalable ETL/ELT processes to extract, transform, and load data from diverse sources into a cloud-based platform.
-
Architect and manage data storage solutions within the data platform (e.g., data lakes, warehouses, and marts) to enable advanced analytics and machine learning.
-
Implement and manage ML pipelines, building feature pipelines and deploying models.
-
Collaborate with data scientists, analysts, and software engineering to integrate data products into business workflows.
-
Ensure data quality, consistency, and governance by implementing robust monitoring, validation, and alerting mechanisms.
-
Lead the adoption of new cloud-native technologies to streamline and enhance data and ML operations.
-
Mentor junior data engineers, fostering a culture of innovation and knowledge-sharing within the team.
Qualifications:
-
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related field. A Master’s degree is preferred.
-
5+ years of professional experience in data engineering, including end-to-end pipeline development and cloud integration.
-
Proven experience with machine learning workflows, including data preparation, feature engineering, and model deployment.
-
Proficiency in programming languages such as Python, Scala, or Java, with an emphasis on ML libraries like TensorFlow, PyTorch, or Scikit-learn.
-
Strong knowledge of data processing frameworks (e.g., Apache Spark, Flink, Beam) and real-time data streaming (e.g., Kafka, Kinesis).
-
Hands-on expertise with AWS or GCP ecosystems, including tools like:
-
AWS: SageMaker, Redshift, Glue, Athena, EMR
-
GCP: BigQuery, Vertex AI, Dataflow, Dataproc
-
-
Solid understanding of relational and non-relational database systems (SQL, NoSQL).
-
Experience with data orchestration tools (e.g., Airflow, Prefect, dbt) and CI/CD practices.
-
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
Preferred Skills:
-
Experience with geospatial data like trajectories.
-
Experience deploying machine learning models into production environments with monitoring and optimization strategies.
-
Familiarity with cloud security and compliance best practices for data and ML workflows.
-
Proficiency in BI tools (e.g., Tableau, Looker, Power BI) and data visualization.
-
Strong understanding of MLOps practices and tools for automated ML lifecycle management.
Relevant certifications in cloud platforms (e.g., AWS Data Engineer, Machine Learning Engineer; Google Cloud Professional ML Engineer, Professional Data Engineer) are a plus.
Skills
Business Data Analytics, Computer Science, Data Analytics, Data Science, Machine Learning, Predictive Modeling, Python (Programming Language)
Compensation
Compensation offered for this role is $85,600.00 – 152,650.00 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. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
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 is the Law” 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.
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 our employees, too.
As part of our team, we want you to love where you work, and that starts by giving you the freedom to be yourself. Our workplace flexibility and focus on inclusion creates an environment where you can connect and belong. Our goal is for you to feel trusted, heard and empowered to express yourself. When you thrive, we all thrive. And this year, we’re proud to share that we’ve been recognized by Forbes as one of America’s Best Employers For Diversity, and one of America’s Best Large Employers.
When you join us, you’ll have the opportunity to push your skills to the next level each day. Our dedication to continuous learning ensures that you have access to development programs designed to propel your career forward. As you learn and grow, so do we.
Working here also means getting the chance to do meaningful work and 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.
Good Hands. Greater 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
Founded by The Allstate Corporation in 2016, Arity is a data and analytics company focused on improving transportation. We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer, and more useful for everyone. At the heart of that mission are the people that work here—the dreamers, doers and difference-makers that call this place home. As part of that team, your work will showcase both your intelligence and your creativity as you tackle real-world problems and put your talents towards transforming transportation. That’s because at Arity, we believe work and life shouldn’t be at odds with one another. After all, we know that your unique qualities give you a unique perspective. We don’t just want you to see yourself here. We want you to be yourself here. Arity is committed to supporting an inclusive and diverse environment where you can thrive and learn from others.
We are seeking a highly skilled and experienced Senior Data Engineer with extensive professional experience in full-stack data engineering, including hands-on expertise in the development of large-scale data platforms and machine learning pipelines. In this role, you’ll design, develop, and optimize scalable data and ML workflows to support our growing telematics business needs. As a key member of the Data Analytics Engineering Team, you’ll enable data-driven decision-making by building robust pipelines, efficient architectures, and impactful ML solutions.
Key Responsibilities:
-
Design, build, and maintain end-to-end data and machine learning pipelines to support analytics, reporting, and AI-driven applications.
-
Develop and optimize scalable ETL/ELT processes to extract, transform, and load data from diverse sources into a cloud-based platform.
-
Architect and manage data storage solutions within the data platform (e.g., data lakes, warehouses, and marts) to enable advanced analytics and machine learning.
-
Implement and manage ML pipelines, building feature pipelines and deploying models.
-
Collaborate with data scientists, analysts, and software engineering to integrate data products into business workflows.
-
Ensure data quality, consistency, and governance by implementing robust monitoring, validation, and alerting mechanisms.
-
Lead the adoption of new cloud-native technologies to streamline and enhance data and ML operations.
-
Mentor junior data engineers, fostering a culture of innovation and knowledge-sharing within the team.
Qualifications:
-
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related field. A Master’s degree is preferred.
-
5+ years of professional experience in data engineering, including end-to-end pipeline development and cloud integration.
-
Proven experience with machine learning workflows, including data preparation, feature engineering, and model deployment.
-
Proficiency in programming languages such as Python, Scala, or Java, with an emphasis on ML libraries like TensorFlow, PyTorch, or Scikit-learn.
-
Strong knowledge of data processing frameworks (e.g., Apache Spark, Flink, Beam) and real-time data streaming (e.g., Kafka, Kinesis).
-
Hands-on expertise with AWS or GCP ecosystems, including tools like:
-
AWS: SageMaker, Redshift, Glue, Athena, EMR
-
GCP: BigQuery, Vertex AI, Dataflow, Dataproc
-
-
Solid understanding of relational and non-relational database systems (SQL, NoSQL).
-
Experience with data orchestration tools (e.g., Airflow, Prefect, dbt) and CI/CD practices.
-
Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
Preferred Skills:
-
Experience with geospatial data like trajectories.
-
Experience deploying machine learning models into production environments with monitoring and optimization strategies.
-
Familiarity with cloud security and compliance best practices for data and ML workflows.
-
Proficiency in BI tools (e.g., Tableau, Looker, Power BI) and data visualization.
-
Strong understanding of MLOps practices and tools for automated ML lifecycle management.
Relevant certifications in cloud platforms (e.g., AWS Data Engineer, Machine Learning Engineer; Google Cloud Professional ML Engineer, Professional Data Engineer) are a plus.
Skills
Business Data Analytics, Computer Science, Data Analytics, Data Science, Machine Learning, Predictive Modeling, Python (Programming Language)
Compensation
Compensation offered for this role is $85,600.00 – 152,650.00 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. And one where you can impact the future for the greater good.
You’ll do all this in a flexible environment that embraces connection and belonging. And with the recognition of several inclusivity and diversity awards, we’ve proven that Allstate empowers everyone to lead, drive change and give back where they work and live.
Good Hands. Greater Together.
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 is the Law” 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.
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 our employees, too.
As part of our team, we want you to love where you work, and that starts by giving you the freedom to be yourself. Our workplace flexibility and focus on inclusion creates an environment where you can connect and belong. Our goal is for you to feel trusted, heard and empowered to express yourself. When you thrive, we all thrive. And this year, we’re proud to share that we’ve been recognized by Forbes as one of America’s Best Employers For Diversity, and one of America’s Best Large Employers.
When you join us, you’ll have the opportunity to push your skills to the next level each day. Our dedication to continuous learning ensures that you have access to development programs designed to propel your career forward. As you learn and grow, so do we.
Working here also means getting the chance to do meaningful work and 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.
Good Hands. Greater Together.SM
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 D. / 6 years with Allstate
Sales Market Leader
October 2020 – Present
Anthony N. / 9 years with Allstate
Market Sales Associate Manager
February 2024 – Present
Michael K. / 23 years with Allstate
Property Delivery Director
2023 – Present/Remote
Bree M. / 8 years with Allstate
Unrepresented Bodily Injury Adjuster
December 2022 – Present
Rie T. / 9 years with Allstate
Unrepresented Severe/Complex Adjuster – Casualty 100
2023 – Present
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I’m proud of building Allstate’s first Bilingual Unlicensed Service team during my first assignment as a leader. It’s an exciting opportunity for our employees and to better serve our Spanish-speaking customers.
Xiomara
Employee Engagement Leader
Joe W.
Commercial Senior Claims Service Adjuster
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Everyone is encouraged to volunteer and give back however they can throughout the year. I enjoy giving back to the community and supporting the causes that are meaningful to me.
Lisa
Senior Lead Internal Auditor
