Sr Data Engineer at Allstate in Texas

Sr Data Engineer Location: USA - TX (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. 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. #LI-PG1 Skills Data Engineering, Data Pipelines, Kubernetes, Microsoft Azure 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. For jobs in San Francisco, please click “here” for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click “here” for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. To view the “EEO Know Your Rights” poster click “here”. 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. To view the FMLA poster, click “here”. 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.