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 Job Description
Allstate's Data & Analytics Technology organization is seeking a Data Engineer to design, build, and operate scalable, reliable, and high performing data pipelines that support enterprise analytics, reporting, and advanced data use cases. In this role, you will focus on building robust batch and streaming data solutions using Apache Spark and modern cloud data platforms. Experience with Microsoft Fabric is a strong plus.
You will work closely with analytics engineers, data scientists, product teams, and platform partners to transform raw, complex data into trusted, analytics ready datasets. This role plays a critical part in enabling data driven decision making by ensuring data quality, performance, scalability, and operational excellence across the data platform.
Key Responsibilities
- Design, build, and maintain scalable batch and streaming data pipelines using Apache Spark and cloud-native data technologies.
- Develop and optimize ETL/ELT workflows to ingest, transform, and curate data from diverse source systems into analytics-ready datasets.
- Implement data modeling and transformation logic to support reporting, dashboards, and downstream analytical and machine learning workloads.
- Build and manage data processing workloads within modern lakehouse platforms, including Microsoft Fabric / OneLake (preferred).
- Ensure data quality, reliability, and consistency by implementing validation checks, monitoring, and reconciliation processes.
- Optimize Spark jobs for performance, cost efficiency, and scalability across large and complex datasets.
- Manage and evolve data schemas while handling schema drift and upstream source changes.
- Develop reusable frameworks, libraries, and standardized patterns to improve data engineering productivity and consistency.
- Implement CI/CD pipelines for data workloads to enable automated testing, deployment, and rollback.
- Monitor data pipelines and jobs, troubleshoot failures, and resolve performance or data quality issues.
- Partner with analytics engineers, BI developers, and data scientists to understand data requirements and deliver curated datasets.
- Collaborate with platform, security, and governance teams to ensure data security, compliance, and proper access controls.
- Contribute to Agile delivery processes, including sprint planning, design reviews, and continuous improvement initiatives.
Required Qualifications - Strong experience as a Data Engineer building and operating production data pipelines.
- Hands-on experience with Apache Spark for large-scale data processing.
- Proficiency in Python, SQL, and data transformation best practices.
- Experience with cloud-based data platforms and storage (e.g., Data Lakes, Lakehouse architectures).
- Familiarity with Microsoft Fabric, OneLake, or similar analytics platforms (strong plus).
- Experience designing and optimizing data models for analytical workloads.
- Understanding of distributed data processing concepts, performance tuning, and fault tolerance.
- Experience with CI/CD, version control, and infrastructure-as-code concepts.
- Strong problem-solving skills and ability to troubleshoot complex data issues.
- Excellent communication skills and ability to collaborate across technical and non-technical teams.
- 4+ years of experience in data engineering or equivalent role (preferred).
Preferred / Nice-to-Have Skills - Experience with real-time or event-driven data processing.
- Familiarity with data governance, metadata management, and data quality frameworks.
- Exposure to orchestration tools and workflow management systems.
- Experience supporting analytical, reporting, or machine learning use cases.
Supervisory Responsibilities
This job does not have supervisory duties.
Skills Apache Spark, Data Engineering, Python (Programming Language), Structured Query Language (SQL)
Compensation Compensation offered for this role is 90,700.00 - 153,925.00 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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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.
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