Allstate
Allstate
Allstate provides insurance and protection products across home, auto, device, and identity coverage. Its work centers on helping customers manage risk, protect their finances, and navigate unexpected events with greater confidence. The company also highlights community involvement and sustainability as part of its broader approach to serving customers and contributing to positive social impact.

Lead BI Developer (Mexico Remote)

Lead business intelligence development for Allstate, delivering Microsoft Fabric, Power BI, and enterprise data warehouse solutions. Build scalable ETL/ELT pipelines, dimensional models, and analytics platforms for an insurance business.

Description

  • Design, develop, and maintain scalable enterprise data warehouse solutions
  • Build, optimize, and support ETL/ELT pipelines with modern integration tools and frameworks
  • Develop data ingestion, transformation, and orchestration processes in Microsoft Fabric
  • Manage Fabric Data Engineering workloads, including Data Pipelines, Dataflows Gen2, Notebooks, Lakehouses, and Warehouses
  • Create dimensional models using Star and Snowflake schemas
  • Write and optimize complex T-SQL, including stored procedures, views, and functions
  • Build and maintain Power BI semantic models, reports, dashboards, and DAX measures
  • Develop large-scale data processing solutions with Python and PySpark
  • Monitor data quality, resolve issues, and apply data governance best practices
  • Translate business requirements into scalable data solutions with business and technical teams
  • Contribute to architecture reviews, code reviews, and technical design discussions
  • Support deployments, monitoring, performance tuning, and production operations

Requirements

  • At least five years of experience in data engineering, data warehousing, or business intelligence
  • Extensive experience with SQL Server, T-SQL development, SSIS, and enterprise data warehousing
  • Strong knowledge of dimensional modeling, including Star and Snowflake schemas, fact and dimension tables, and Slowly Changing Dimensions
  • Hands-on experience with Microsoft Fabric, including Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, Lakehouses, Data Warehouses, and OneLake
  • Strong Python, PySpark, and Spark-based data processing experience
  • Advanced Power BI skills covering semantic models, dataset design, DAX, dashboards, and performance optimization
  • Experience with data integration, ETL/ELT frameworks, data quality, and data governance
  • Ability to work independently with minimal supervision
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder management abilities
  • Strong documentation and organizational skills
  • Collaborative approach with a willingness to mentor and share knowledge
  • Ability to manage multiple priorities in a fast-paced environment
  • Valid photo identification is required at the start of virtual interviews, except for internal candidates
  • Microsoft Fabric certifications are preferred
  • Azure Data Engineering experience is preferred
  • Experience implementing metadata-driven ingestion frameworks is preferred
  • Experience building audit, logging, and monitoring solutions is preferred
  • Knowledge of CI/CD processes and DevOps practices is preferred
  • Experience supporting large-scale enterprise analytics platforms is preferred
  • Experience with Agile/Scrum methodologies is preferred

Benefits

  • Opportunities to build skills and progress professionally
  • Opportunity to challenge established practices and help shape the future of protection
  • Opportunity to support causes that matter to employees
  • Camera-on virtual interview process
  • Interview accommodations available upon request

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