Data Engineer (Remote, US)

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. Allstate’s Risk Data Team is seeking a Data Engineer to help build the trusted data foundation that enables faster decisions, proactive risk management, and measurable improvements in control effectiveness. This role will focus on transforming fragmented risk and control data into reliable, accessible, and actionable information through scalable data pipelines, governed datasets, analytics-ready data products, and automation. You will work closely with analytics engineers, product teams, risk partners, platform teams, and governance stakeholders to integrate data from internal platforms, vendor tools, and external sources. The role plays a critical part in reducing reliance on manual reporting and spreadsheets, improving confidence in risk data, and enabling dashboards, reporting, analytics, and future AI-based capabilities across the organization. Design, build, and maintain trusted risk data products and scalable batch and streaming data pipelines using cloud-native technologies. Integrate data from risk platforms, control systems, vendor tools, operational applications, and external sources into governed, analytics-ready datasets. Develop and optimize ETL/ELT workflows that automate data ingestion, transformation, validation, reconciliation, and delivery. Build and manage data processing workloads within modern data lake and lakehouse environments, including Microsoft Fabric and OneLake. Implement data quality, monitoring, lineage, and reconciliation processes to ensure data reliability, consistency, and accuracy. Create curated datasets and analytical outputs that support operational reporting, leadership dashboards, trend analysis, risk identification, and decision-making. Optimize data architectures, schemas, and processing patterns for scalability, performance, resilience, and cost efficiency. Develop reusable frameworks, engineering standards, CI/CD pipelines, automated testing, and operational monitoring to improve productivity and maintainability. Partner with analytics, product, risk, governance, security, and compliance stakeholders to establish data definitions, metrics, quality standards, and secure data access. Participate in Agile delivery activities including sprint planning, backlog refinement, design reviews, and continuous improvement initiatives. 4+ years of experience as a Data Engineer or in a similar role building and supporting production-grade data pipelines and data products.

• Hands-on experience with Apache Spark for large-scale data processing and transformation.
• Strong proficiency in Python, SQL, and modern data engineering best practices.
• Experience developing ETL/ELT solutions within cloud-based data lake, lakehouse, or analytics platforms.
• Experience designing and optimizing analytical data models that support reporting, dashboards, operational insights, and advanced analytics.
• Strong understanding of data quality, validation, monitoring, reconciliation, and production support processes.
• Experience with CI/CD pipelines, version control, automated testing, and infrastructure-as-code concepts.
• Demonstrated ability to troubleshoot complex data quality, performance, and integration issues across multiple data sources.
• Experience with Microsoft Fabric, OneLake, or similar modern analytics platforms preferred.

Experience working with risk, controls, compliance, audit, governance, or regulatory data domains. Experience building real-time, near real-time, or event-driven data processing solutions. Familiarity with data governance, metadata management, data lineage, access controls, and enterprise data quality frameworks. Experience with orchestration and workflow management tools for data pipelines. Experience supporting operational reporting, executive dashboards, trend analysis, advanced analytics, or machine learning initiatives. Interest in building governed, scalable datasets that support AI and data-driven products. #Apache Spark, Data Engineering, Data ETL, Python (Programming Language), Software Development, Structured Query Language (SQL) Compensation 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. 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. 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. 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. To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Note: Internal candidates are only asked to join on video;