Senior Data Engineer
Today• Flexible / Remote
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
As a senior Data Engineer, you will design, build, and support high-quality data solutions and pipelines using modern engineering practices and tools. In this role, you will partner closely with product managers, software engineers, and data analysts to deliver scalable, reliable data capabilities that power digital products and business insights. You will be accountable for the end to end lifecycle of your data products, from design and implementation through production support, data quality, and performance against key metrics.
Design, Build & Manage Data Solutions
- Design, develop, and enhance scalable data pipelines and data processing systems.
- Build reusable ingestion, transformation, and storage patterns to support product and analytical needs.
- Integrate data from diverse sources including APIs, databases, event streams, and thirdparty systems.
- Implement data models and schemas that create unified, consistent views of business operations.
Engineering Excellence
- Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments.
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- Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools.
- Optimize data workflows for performance, cost efficiency, and operational resilience.
- Document data flows, lineage, and technical components in support of transparency and maintainability.
Product Collaboration & Delivery
- Collaborate closely with product managers, engineers, and analysts to understand data requirements.
- Participate in iteration planning, ensuring shared understanding of backlog items and technical needs.
- Engage in daily standups, retrospectives, and product ceremonies as an active member of the team.
Governance, Standards & Continuous Improvement
- Contribute to data governance practices such as metadata management and data lineage.
- Ensure compliance with data privacy, security, and regulatory requirements.
- Evaluate new technologies, frameworks, and patterns to improve data infrastructure and engineering capabilities.
- Share knowledge and mentor less experienced engineers, contributing to team growth and best practices.
Core Skills - All Data Engineers
- Strong proficiency with data pipeline development in Python, Java, or Scala.
- Experience with modern data frameworks (Spark, Kafka, Flink, dbt, or equivalent).
- Solid understanding of SQL and NoSQL databases and data modeling principles.
- Ability to optimize SQL, pipelines and storage for performance and cost.
- Experience building batch and/or streaming data solutions.
- Experience using Microsoft Fabric Notebooks to develop, debug, and operationalize data engineering workflows.
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Experience with observability and monitoring tools (Datadog preferred).
- Ability to work in collaborative, iterative, productcentric team environments.
- Strong communication and problemsolving skills.
Preferred Skills
- Experience with cloud data services (Azure, AWS).
- Handson experience with Microsoft Fabric components, including Lakehouse, Warehouse, Data Pipelines, Dataflows Gen2, and Semantic Models.
- Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, etc.).
- Performance tuning for data pipelines, databases, and queries.
- Familiarity with generative and agentic AI tools to improve engineering productivity.
Education
4 year Bachelors Degree
Experience
3 or more years of experience (Preferred)
Supervisory Responsibilities
This job does not have supervisory duties.
Education & Experience (in lieu)
In lieu of the above education requirements, an equivalent combination of education and experience may be considered.
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Skills
Communication, Computer Programming, Data Analytics, Data Engineering, Data Pipelines, Java, Product Roadmapping, Python (Programming Language), Scala (Programming Language)
Compensation
Compensation offered for this role is 98,100.00 - 167,850.00 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.
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Client-provided location(s): Flexible / Remote
Job ID: allstate-151521964
Employment Type: OTHER
Posted: 2026-03-20T19:07:42
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Long-Term Disability
- Short-Term Disability
- HSA
- FSA
- Mental Health Benefits
- On-Site Gym
- Pet Insurance
- Virtual Fitness Classes
- Health Reimbursement Account
Parental Benefits
- Non-Birth Parent or Paternity Leave
- Birth Parent or Maternity Leave
- Adoption Leave
- Family Support Resources
- Adoption Assistance Program
Work Flexibility
- Remote Work Opportunities
- Hybrid Work Opportunities
- Work-From-Home Stipend
- Four-Day Work Week
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Pension
- Financial Counseling
- Relocation Assistance
Professional Development
- Tuition Reimbursement
- Access to Online Courses
- Internship Program
- Promote From Within
- Mentor Program
- Lunch and Learns
- Leadership Training Program
- Associate or Rotational Training Program
Diversity and Inclusion
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Company Videos
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