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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer Con II - **Company:** Allstate Corporation - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $90,700.0 - $153,925.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Automation of Tests, Business Intelligence Development, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Distributed Computing Environment, Fault Tolerance, Python (Programming Language), Machine Learning, Meta-Data Management, Operational Databases, Performance Tuning, Scrum Methodology, SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Apache Spark, Microsoft Fabric, Data Lakes, Data Analytics, Data Management, Software Version Control, Data Pipelines - **Published:** July 26, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17063544?backUrl=%2Fcareer%2F17063544%2FSenior-Data-Engineer-Con-Ii-Illinois ## About the Role * Strong experience as a Data Engineer building and operating production data pipelines. * Handson experience with Apache Spark for largescale data processing. * Proficiency in Python, SQL, and data transformation best practices. * Experience with cloudbased 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 infrastructureascode concepts. * Strong problemsolving skills and ability to troubleshoot complex data issues. * Excellent communication skills and ability to collaborate across technical and nontechnical teams. * 4+ years of experience in data engineering or equivalent role (preferred). Preferred / NicetoHave Skills * Experience with realtime or eventdriven 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., Apache Spark, Data Engineering, Python (Programming Language), Structured Query Language (SQL), 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. ## 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., * Design, build, and maintain scalable batch and streaming data pipelines using Apache Spark and cloudnative data technologies. * Develop and optimize ETL/ELT workflows to ingest, transform, and curate data from diverse source systems into analyticsready 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., 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)