Lead BI Developer

Posted Yesterday
Be an Early Applicant
Hiring Remotely in México
Remote
Senior level
Insurance
The Role
Leads the design, development, and support of enterprise data warehouses, ETL/ELT pipelines, Microsoft Fabric workloads, dimensional models, and Power BI solutions. Develops T-SQL, Python, and PySpark data engineering solutions; monitors data quality; supports governance, deployment, performance tuning, and production operations. Collaborates with stakeholders and technical teams on requirements, architecture, code reviews, and scalable analytics solutions.
Summary Generated by Built In

Integon is a part of The Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. It’s how we’ve become industry leaders in property and casualty insurance servicing. We support our insurance company affiliates by offering property and casualty insurance products inclusive of personal auto, homeowners, RV, motorcycle, small business auto insurance and more. 

Job Description

We are seeking a highly skilled and motivated Lead Business Intelligence Developer to join our Data & Analytics team. The ideal candidate will have strong experience designing, developing, and supporting enterprise-scale data warehouse solutions, modern cloud-based data platforms, and business intelligence environments.
This role requires expertise in data warehousing, dimensional modeling, ETL/ELT development, Microsoft Fabric, Power BI, and modern data engineering practices. The successful candidate must be a self-starter who can work independently while also collaborating effectively with business stakeholders, analysts, architects, and fellow engineers.

Key Responsibilities
  • Design, develop, and maintain scalable enterprise data warehouse solutions.
  • Build, optimize, and support ETL/ELT pipelines using modern data integration tools and frameworks.
  • Develop and maintain data ingestion, transformation, and orchestration processes in Microsoft Fabric.
  • Create and manage Fabric Data Engineering workloads including:
    • Data Pipelines
    • Dataflows Gen2
    • Notebooks
    • Lakehouses
    • Warehouses
  • Design and implement robust dimensional models (Star and Snowflake Schemas) to support reporting and analytics.
  • Develop complex T-SQL code including stored procedures, views, functions, and performance optimization.
  • Build and maintain Power BI semantic models, reports, dashboards, and DAX measures.
  • Develop data engineering solutions using Python and PySpark for large-scale data processing.
  • Monitor data quality, troubleshoot issues, and implement data governance best practices.
  • Collaborate with business users and technical teams to gather requirements and translate them into scalable data solutions.
  • Participate in architecture reviews, code reviews, and technical design discussions.
  • Support operational activities including deployment, monitoring, performance tuning, and production support.

Required Qualifications

Technical Skills

  • 5+ years of experience in Data Engineering, Data Warehousing, or Business Intelligence.
  • Extensive experience with:
    • SQL Server
    • T-SQL Development
    • SSIS (SQL Server Integration Services)
    • Enterprise Data Warehousing
    • Dimensional Modeling
  • Strong experience designing:
    • Star Schemas
    • Snowflake Schemas
    • Fact and Dimension Tables
    • Slowly Changing Dimensions (SCD)
  • Hands-on experience with Microsoft Fabric:
    • Data Factory
    • Data Pipelines
    • Dataflows Gen2
    • Notebooks
    • Lakehouses
    • Data Warehouses
    • OneLake
  • Strong experience using:
    • Python
    • PySpark
    • Spark-based Data Processing
  • Advanced Power BI skills:
    • Semantic Models
    • Dataset Design
    • DAX Development
    • Dashboard Development
    • Performance Optimization
  • Experience working with:
    • Data Integration
    • ETL/ELT Frameworks
    • Data Quality Processes 
    • Data Governance Practices

Preferred Qualifications

  • Microsoft Fabric Certifications.
  • Azure Data Engineering experience.
  • Experience implementing metadata-driven ingestion frameworks.
  • Experience building audit, logging, and monitoring solutions.
  • Knowledge of CI/CD processes and DevOps practices.
  • Experience supporting large-scale enterprise analytics platforms.
  • Experience with Agile/Scrum methodologies.

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Ability to work independently with minimal supervision.
  • Excellent communication and stakeholder management skills.
  • Strong documentation and organizational skills.
  • Team-oriented mindset with a willingness to mentor and share knowledge.
  • Ability to manage multiple priorities in a fast-paced environment.

Skills

Business Intelligence (BI) Solutions, Business Intelligence Tools, Database Reporting, Data Warehousing (DW), SQL Server BI

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.

Direct General Auto & Life, Personal Express Insurance, Century-National Insurance, ABC Insurance Agencies, NatGen Preferred, NatGen Premier, Seattle Specialty, National General Lender Services, ARS, RAC Insurance Partners, Mountain Valley Indemnity, New Jersey Skylands, Adirondack Insurance Exchange, VelaPoint, Quotit, HealthCompare, AHCP, NHIC, Healthcare Solutions Team, North Star Marketing, Euro Accident.


To help create a more personal and engaging experience, we ask that you join with your camera on if your interview is virtual. Please also have a Valid Photo Identification available at the start of your interview.  If you require any accommodations or have questions ahead of your interview please reach out to your recruiter.


Note: Internal candidates are only asked to join on video; a Valid Photo Identification is not needed for the interview.

Skills Required

  • 5+ years of experience in data engineering, data warehousing, or business intelligence
  • Extensive experience with SQL Server, T-SQL development, SSIS, enterprise data warehousing, and dimensional modeling
  • Experience designing star schemas, 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 experience using Python, PySpark, and Spark-based data processing
  • Advanced Power BI skills, including semantic models, dataset design, DAX development, dashboard development, and performance optimization
  • Experience with data integration, ETL/ELT frameworks, data quality processes, and data governance practices
  • Microsoft Fabric certifications
  • Azure data engineering experience
  • Experience implementing metadata-driven ingestion frameworks
  • Experience building audit, logging, and monitoring solutions
  • Knowledge of CI/CD processes and DevOps practices
  • Experience supporting large-scale enterprise analytics platforms
  • Experience with Agile/Scrum methodologies
  • Strong analytical and problem-solving abilities
  • Ability to work independently with minimal supervision
  • Excellent communication and stakeholder management skills
  • Strong documentation and organizational skills
  • Team-oriented mindset and willingness to mentor and share knowledge
  • Ability to manage multiple priorities in a fast-paced environment

Allstate Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Allstate and has not been reviewed or approved by Allstate.

  • Retirement Support — Retirement offerings include a 401(k) with company match and a company-funded pension, providing notable long-term value. These features are described as standout components of the package.
  • Leave & Time Off Breadth — Paid time off is described as generous, with vacation and parental leave available. This breadth of leave supports work-life needs for a range of situations.
  • Flexible Benefits — Flexible work arrangements include options for in-office, remote, or hybrid work. This flexibility is positioned as a meaningful part of the total rewards experience.

Allstate Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Northbrook, IL
57,671 Employees
Year Founded: 1931

What We Do

At Allstate, we're advocates for peace of mind and a good life. And that comes through in everything we do. From building diverse and innovative teams that truly understand our customers' needs, to challenging each other to develop our careers in a meaningful way, and finally to the incredible results we're able to achieve together. See how we’re creating a better future through innovation, advocacy, and empowering people and communities

Similar Jobs

Samsara Logo Samsara

Mexico Major AE

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
México
4000 Employees
500K-500K Annually

Samsara Logo Samsara

Account Validation Specialist - MX

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
México
4000 Employees

Mastercard Logo Mastercard

Lead Software Engineering

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Remote or Hybrid
Mexico City, Ciudad De México, MEX
38800 Employees

Mastercard Logo Mastercard

Software Engineer

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Remote or Hybrid
Mexico City, Ciudad De México, MEX
38800 Employees

Similar Companies Hiring

MassMutual India Thumbnail
Big Data • Fintech • Information Technology • Insurance • Financial Services
Hyderabad, Telangana
Granted Thumbnail
Artificial Intelligence • Healthtech • Insurance • Mobile • Financial Services
New York, New York
23 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account