Senior Data Engineer

Allstate; Alton (IL); On-site; USD 80,000 - 137,000; Full time

Job summary

Allstate is seeking a Senior Data Engineer to design, build, and own scalable data products and pipelines using Microsoft Fabric and modern data engineering practices. You will collaborate with product managers, software engineers, and data analysts to deliver reliable data capabilities powering digital products and business insights.

The role covers end-to-end lifecycle from design through production support, data quality, and performance metrics, with a focus on governance, observability, and

Qualifications

• Strong proficiency in building scalable data pipelines with PySpark and Python.
• Hands-on experience with modern data engineering frameworks and tools such as Apache Spark, Kafka, Flink, dbt, or equivalents.
• Strong knowledge of SQL and NoSQL databases, data modeling, and data architecture principles.
• Ability to optimize SQL queries, data pipelines, and storage for performance and cost efficiency.
• Experience designing and developing batch and/or real-time streaming data solutions.
• Hands-on with Microsoft Fabric Notebooks for developing data workflows.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Experience implementing monitoring and observability solutions; Datadog preferred.
• Ability to work well in collaborative, iterative, product-centric environments.
• Strong communication, analytical, troubleshooting, and problem-solving skills

Responsibilities

• 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 third-party systems.
• Implement data models and schemas that create unified views of business operations.
• Apply modern engineering practices, including version control, testing, CI/CD, and automated deployments.
• Ensure data quality, integrity, and reliability through validation, monitoring, and observability tools.
• Optimize data workflows for performance, cost efficiency, and resilience.
• Document data flows, lineage, and technical components for transparency.
• Collaborate with product managers, engineers, and analysts to understand data requirements.
• Participate in iteration planning and backlog grooming with technical stakeholders.
• Engage in daily standups, retrospectives, and product ceremonies as a team member.
• Contribute to data governance practices like metadata management and data lineage.
• Ensure compliance with data privacy, security, and regulatory requirements.
• Evaluate new technologies and patterns to improve data infrastructure.
• Share knowledge and mentor junior engineers to promote best practices.

Skills

PySpark + Python

Spark Kafka Flink dbt

SQL/NoSQL modeling

Query optimization

Batch & streaming

Fabric Notebooks

Docker & Kubernetes

Datadog monitoring

Collaborative team

Problem solving

Tools

Docker

Kubernetes

Datadog

Azure/AWS

Microsoft Fabric

Job description

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

Design, build, and own scalable data products and pipelines using Microsoft Fabric and modern data engineering practices, ensuring reliability, performance, governance, and effective delivery of trusted data for digital products and analytics.

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.

Key Responsibilities

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 third‑party 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.

• 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

• Strong proficiency in developing scalable data pipelines using PySpark and Python.
• Hands-on experience with modern data engineering frameworks and tools, including Apache Spark, Kafka, Flink, dbt, or equivalent technologies.
• Strong knowledge of SQL, NoSQL databases, data modeling, and data architecture principles.
• Demonstrated ability to optimize SQL queries, data pipelines, and storage for performance, scalability, and cost efficiency.
• Experience designing and developing batch and/or real-time streaming data solutions.
• Hands-on experience with Microsoft Fabric Notebooks for developing, debugging, testing, and operationalizing data engineering workflows.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience implementing monitoring and observability solutions, with Datadog experience preferred.
• Ability to work effectively in collaborative, iterative, and product-centric engineering environments.
• Strong communication, analytical, troubleshooting, and problem-solving skills

Preferred Skills

• Experience with cloud data services (Azure, AWS).

• Hands‑on 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.

#LI-TE1

Skills

Data Engineering, Microsoft Azure, Python (Programming Language), Structured Query Language (SQL)

Compensation

Compensation offered for this role is 80,000.00 - 136,625.00 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.

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.