Allstate
Managing Engineer, Data Engineering
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
We are seeking Two Managing Engineers, Data Engineering to lead the design, development, and delivery of scalable data solutions that support digital products, analytics, and business decision-making.
Both opportunities combine hands-on engineering with technical leadership, team development, and delivery responsibility. You will partner with Product Managers, Software Engineers, Data Analysts, Architects, and business stakeholders to deliver reliable, secure, and high-performing data products.
Based on an assessment of each candidate’s experience, technical expertise, and leadership background, candidates may be considered for the opportunity that best aligns with their qualifications.
Key Responsibilities
People and Engineering Leadership
- Lead, mentor, and coach Data Engineers while supporting their technical and professional development.
- Promote a culture of collaboration, accountability, knowledge sharing, and continuous improvement.
- Establish engineering standards and encourage consistent use of best practices.
- Balance hands-on engineering with technical leadership, team development, and delivery responsibilities.
- Depending on the position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning.
Data Solution Design and Development
- Lead the design, development, implementation, and support of scalable batch and streaming data solutions.
- Develop reusable patterns for data ingestion, transformation, storage, and access.
- Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems.
- Remain actively involved in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving.
- Ensure data solutions are reliable, maintainable, secure, scalable, and cost-effective.
Engineering Excellence and Production Support
- Promote modern engineering practices, including version control, automated testing, continuous integration, automated deployment, and infrastructure automation.
- Establish standards for data quality, validation, monitoring, lineage, and observability.
- Optimize data pipelines, databases, queries, and storage solutions for performance and cost.
- Support production operations and provide leadership during critical incidents, root-cause analysis, and preventative improvements.
- Identify opportunities to reduce technical debt and operational risk.
Product Collaboration and Delivery
- Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to understand priorities and deliver effective data solutions.
- Translate business and product needs into technical roadmaps and clearly defined engineering work.
- Lead or contribute to planning, prioritization, estimation, and delivery activities.
- Manage risks, dependencies, resource needs, and competing priorities.
- Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders.
Data Governance, Security, and Standards
- Promote data governance practices, including metadata management, data lineage, classification, and data quality.
- Ensure solutions meet applicable security, privacy, governance, and regulatory requirements.
- Partner with Architecture, Security, Risk, and Governance teams to align solutions with enterprise standards.
- Support the responsible access, use, storage, and movement of enterprise data.
Innovation and Continuous Improvement
- Evaluate emerging technologies, frameworks, and engineering practices that may improve data capabilities.
- Identify opportunities to increase automation, simplify development, and improve engineering productivity.
- Support cloud modernization and data platform transformation initiatives.
- Promote continuous learning and the responsible use of generative and agent-based artificial intelligence tools.
Essential Qualifications
Managing Engineer: 5 or More Years of Experience
- 5 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
- 1 or more years of experience providing technical leadership, mentorship, coaching, or project leadership.
- Experience guiding engineers through technical mentorship and knowledge sharing.
- Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
- Experience designing and supporting batch or streaming data solutions.
- Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
- Strong knowledge of SQL, NoSQL databases, data modeling, and data storage concepts.
- Experience integrating data from APIs, databases, event streams, and third-party systems.
- Experience with automated testing, continuous integration and delivery, deployment automation, and DevOps practices.
- Experience with Docker and Kubernetes.
- Strong communication, collaboration, and stakeholder management skills.
- Ability to influence technical outcomes and lead through expertise.
Managing Engineer: 7 or More Years of Experience
- 7 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
- 3 or more years of experience leading, mentoring, or managing technical professionals.
- Experience with coaching, performance management, career development, hiring, and team development.
- Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
- Experience designing and supporting scalable batch and streaming data solutions.
- Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
- Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture.
- Experience integrating data from APIs, databases, event streams, and enterprise systems.
- Experience optimizing data platforms, pipelines, databases, and storage solutions for performance and cost.
- Experience implementing automated testing, continuous integration and delivery, observability, and engineering excellence practices.
- Experience with Docker and Kubernetes.
- Strong communication, decision-making, and stakeholder management skills.
- Ability to balance hands-on engineering, people leadership, and delivery accountability.
Desirable Qualifications
- Experience with data services and platforms in Microsoft Azure or Amazon Web Services.
- Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Semantic Models, and Fabric Notebooks.
- Experience with Azure DevOps, GitHub Actions, Jenkins, or similar tools.
- Experience with Datadog or another monitoring and observability platform.
- Experience supporting or leading cloud modernization or data platform transformation initiatives.
- Experience building reusable data frameworks, shared services, internal platforms, or developer tools.
- Knowledge of data governance, metadata management, data lineage, privacy, security, and regulatory requirements.
- Experience supporting large-scale enterprise data products.
- Familiarity with generative and agent-based artificial intelligence tools used to improve engineering productivity.
Supervisory Responsibilities
- This job has supervisory duties
#LI-MF1
Skills
Amazon Web Services (AWS), Application Programming Interface (API), Data Architecture Development, Data Engineering, Data Ingestion, Data Pipelines, Data Stream, Enterprise Data, Kubernetes, Microsoft Azure, People Management, Python (Programming Language)
Compensation
Compensation offered for this role is 120,000.00 – 193,725.00 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
We are seeking Two Managing Engineers, Data Engineering to lead the design, development, and delivery of scalable data solutions that support digital products, analytics, and business decision-making.
Both opportunities combine hands-on engineering with technical leadership, team development, and delivery responsibility. You will partner with Product Managers, Software Engineers, Data Analysts, Architects, and business stakeholders to deliver reliable, secure, and high-performing data products.
Based on an assessment of each candidate’s experience, technical expertise, and leadership background, candidates may be considered for the opportunity that best aligns with their qualifications.
Key Responsibilities
People and Engineering Leadership
- Lead, mentor, and coach Data Engineers while supporting their technical and professional development.
- Promote a culture of collaboration, accountability, knowledge sharing, and continuous improvement.
- Establish engineering standards and encourage consistent use of best practices.
- Balance hands-on engineering with technical leadership, team development, and delivery responsibilities.
- Depending on the position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning.
Data Solution Design and Development
- Lead the design, development, implementation, and support of scalable batch and streaming data solutions.
- Develop reusable patterns for data ingestion, transformation, storage, and access.
- Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems.
- Remain actively involved in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving.
- Ensure data solutions are reliable, maintainable, secure, scalable, and cost-effective.
Engineering Excellence and Production Support
- Promote modern engineering practices, including version control, automated testing, continuous integration, automated deployment, and infrastructure automation.
- Establish standards for data quality, validation, monitoring, lineage, and observability.
- Optimize data pipelines, databases, queries, and storage solutions for performance and cost.
- Support production operations and provide leadership during critical incidents, root-cause analysis, and preventative improvements.
- Identify opportunities to reduce technical debt and operational risk.
Product Collaboration and Delivery
- Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to understand priorities and deliver effective data solutions.
- Translate business and product needs into technical roadmaps and clearly defined engineering work.
- Lead or contribute to planning, prioritization, estimation, and delivery activities.
- Manage risks, dependencies, resource needs, and competing priorities.
- Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders.
Data Governance, Security, and Standards
- Promote data governance practices, including metadata management, data lineage, classification, and data quality.
- Ensure solutions meet applicable security, privacy, governance, and regulatory requirements.
- Partner with Architecture, Security, Risk, and Governance teams to align solutions with enterprise standards.
- Support the responsible access, use, storage, and movement of enterprise data.
Innovation and Continuous Improvement
- Evaluate emerging technologies, frameworks, and engineering practices that may improve data capabilities.
- Identify opportunities to increase automation, simplify development, and improve engineering productivity.
- Support cloud modernization and data platform transformation initiatives.
- Promote continuous learning and the responsible use of generative and agent-based artificial intelligence tools.
Essential Qualifications
Managing Engineer: 5 or More Years of Experience
- 5 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
- 1 or more years of experience providing technical leadership, mentorship, coaching, or project leadership.
- Experience guiding engineers through technical mentorship and knowledge sharing.
- Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
- Experience designing and supporting batch or streaming data solutions.
- Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
- Strong knowledge of SQL, NoSQL databases, data modeling, and data storage concepts.
- Experience integrating data from APIs, databases, event streams, and third-party systems.
- Experience with automated testing, continuous integration and delivery, deployment automation, and DevOps practices.
- Experience with Docker and Kubernetes.
- Strong communication, collaboration, and stakeholder management skills.
- Ability to influence technical outcomes and lead through expertise.
Managing Engineer: 7 or More Years of Experience
- 7 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
- 3 or more years of experience leading, mentoring, or managing technical professionals.
- Experience with coaching, performance management, career development, hiring, and team development.
- Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
- Experience designing and supporting scalable batch and streaming data solutions.
- Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
- Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture.
- Experience integrating data from APIs, databases, event streams, and enterprise systems.
- Experience optimizing data platforms, pipelines, databases, and storage solutions for performance and cost.
- Experience implementing automated testing, continuous integration and delivery, observability, and engineering excellence practices.
- Experience with Docker and Kubernetes.
- Strong communication, decision-making, and stakeholder management skills.
- Ability to balance hands-on engineering, people leadership, and delivery accountability.
Desirable Qualifications
- Experience with data services and platforms in Microsoft Azure or Amazon Web Services.
- Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Semantic Models, and Fabric Notebooks.
- Experience with Azure DevOps, GitHub Actions, Jenkins, or similar tools.
- Experience with Datadog or another monitoring and observability platform.
- Experience supporting or leading cloud modernization or data platform transformation initiatives.
- Experience building reusable data frameworks, shared services, internal platforms, or developer tools.
- Knowledge of data governance, metadata management, data lineage, privacy, security, and regulatory requirements.
- Experience supporting large-scale enterprise data products.
- Familiarity with generative and agent-based artificial intelligence tools used to improve engineering productivity.
Supervisory Responsibilities
- This job has supervisory duties
#LI-MF1
Skills
Amazon Web Services (AWS), Application Programming Interface (API), Data Architecture Development, Data Engineering, Data Ingestion, Data Pipelines, Data Stream, Enterprise Data, Kubernetes, Microsoft Azure, People Management, Python (Programming Language)
Compensation
Compensation offered for this role is 120,000.00 – 193,725.00 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
We are seeking Two Managing Engineers, Data Engineering to lead the design, development, and delivery of scalable data solutions that support digital products, analytics, and business decision-making.
Both opportunities combine hands-on engineering with technical leadership, team development, and delivery responsibility. You will partner with Product Managers, Software Engineers, Data Analysts, Architects, and business stakeholders to deliver reliable, secure, and high-performing data products.
Based on an assessment of each candidate’s experience, technical expertise, and leadership background, candidates may be considered for the opportunity that best aligns with their qualifications.
Key Responsibilities
People and Engineering Leadership
- Lead, mentor, and coach Data Engineers while supporting their technical and professional development.
- Promote a culture of collaboration, accountability, knowledge sharing, and continuous improvement.
- Establish engineering standards and encourage consistent use of best practices.
- Balance hands-on engineering with technical leadership, team development, and delivery responsibilities.
- Depending on the position level, support or lead hiring, onboarding, performance feedback, career development, and workforce planning.
Data Solution Design and Development
- Lead the design, development, implementation, and support of scalable batch and streaming data solutions.
- Develop reusable patterns for data ingestion, transformation, storage, and access.
- Integrate data from APIs, databases, event streams, third-party platforms, and enterprise systems.
- Remain actively involved in architecture discussions, solution design, code reviews, troubleshooting, and complex problem-solving.
- Ensure data solutions are reliable, maintainable, secure, scalable, and cost-effective.
Engineering Excellence and Production Support
- Promote modern engineering practices, including version control, automated testing, continuous integration, automated deployment, and infrastructure automation.
- Establish standards for data quality, validation, monitoring, lineage, and observability.
- Optimize data pipelines, databases, queries, and storage solutions for performance and cost.
- Support production operations and provide leadership during critical incidents, root-cause analysis, and preventative improvements.
- Identify opportunities to reduce technical debt and operational risk.
Product Collaboration and Delivery
- Partner with Product Managers, Architects, Engineers, Analysts, and business stakeholders to understand priorities and deliver effective data solutions.
- Translate business and product needs into technical roadmaps and clearly defined engineering work.
- Lead or contribute to planning, prioritization, estimation, and delivery activities.
- Manage risks, dependencies, resource needs, and competing priorities.
- Communicate progress, technical recommendations, risks, and dependencies to stakeholders and leaders.
Data Governance, Security, and Standards
- Promote data governance practices, including metadata management, data lineage, classification, and data quality.
- Ensure solutions meet applicable security, privacy, governance, and regulatory requirements.
- Partner with Architecture, Security, Risk, and Governance teams to align solutions with enterprise standards.
- Support the responsible access, use, storage, and movement of enterprise data.
Innovation and Continuous Improvement
- Evaluate emerging technologies, frameworks, and engineering practices that may improve data capabilities.
- Identify opportunities to increase automation, simplify development, and improve engineering productivity.
- Support cloud modernization and data platform transformation initiatives.
- Promote continuous learning and the responsible use of generative and agent-based artificial intelligence tools.
Essential Qualifications
Managing Engineer: 5 or More Years of Experience
- 5 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
- 1 or more years of experience providing technical leadership, mentorship, coaching, or project leadership.
- Experience guiding engineers through technical mentorship and knowledge sharing.
- Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
- Experience designing and supporting batch or streaming data solutions.
- Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
- Strong knowledge of SQL, NoSQL databases, data modeling, and data storage concepts.
- Experience integrating data from APIs, databases, event streams, and third-party systems.
- Experience with automated testing, continuous integration and delivery, deployment automation, and DevOps practices.
- Experience with Docker and Kubernetes.
- Strong communication, collaboration, and stakeholder management skills.
- Ability to influence technical outcomes and lead through expertise.
Managing Engineer: 7 or More Years of Experience
- 7 or more years of experience designing, developing, and supporting data solutions, data pipelines, or enterprise software systems.
- 3 or more years of experience leading, mentoring, or managing technical professionals.
- Experience with coaching, performance management, career development, hiring, and team development.
- Strong hands-on experience developing data pipelines using Python, Java, Scala, or a comparable programming language.
- Experience designing and supporting scalable batch and streaming data solutions.
- Experience with Apache Spark, Apache Kafka, Apache Flink, dbt, or comparable technologies.
- Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture.
- Experience integrating data from APIs, databases, event streams, and enterprise systems.
- Experience optimizing data platforms, pipelines, databases, and storage solutions for performance and cost.
- Experience implementing automated testing, continuous integration and delivery, observability, and engineering excellence practices.
- Experience with Docker and Kubernetes.
- Strong communication, decision-making, and stakeholder management skills.
- Ability to balance hands-on engineering, people leadership, and delivery accountability.
Desirable Qualifications
- Experience with data services and platforms in Microsoft Azure or Amazon Web Services.
- Hands-on experience with Microsoft Fabric, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, Semantic Models, and Fabric Notebooks.
- Experience with Azure DevOps, GitHub Actions, Jenkins, or similar tools.
- Experience with Datadog or another monitoring and observability platform.
- Experience supporting or leading cloud modernization or data platform transformation initiatives.
- Experience building reusable data frameworks, shared services, internal platforms, or developer tools.
- Knowledge of data governance, metadata management, data lineage, privacy, security, and regulatory requirements.
- Experience supporting large-scale enterprise data products.
- Familiarity with generative and agent-based artificial intelligence tools used to improve engineering productivity.
Supervisory Responsibilities
- This job has supervisory duties
#LI-MF1
Skills
Amazon Web Services (AWS), Application Programming Interface (API), Data Architecture Development, Data Engineering, Data Ingestion, Data Pipelines, Data Stream, Enterprise Data, Kubernetes, Microsoft Azure, People Management, Python (Programming Language)
Compensation
Compensation offered for this role is 120,000.00 – 193,725.00 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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Our leaders understand that the world is changing fast and people need to adapt and learn new skills. Allstate is committed to helping employees continuously develop and grow.
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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.
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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.
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