[Hiring] Senior Data Engineer Consultant @Allstate

Role Description

Responsible for the design, development, and maintenance of the data pipelines, models, and architecture that move data from its source through to a marketing semantic layer, and for ensuring that data is structured, reliable, and ready for use. This role is the accountable technical owner of that semantic layer, built on large centralized semantic models that sit on top of the raw data tables and turn them into a single, trusted source of truth, with every metric defined once and defined consistently. In practical terms, it connects marketing spend to quotes, to policies, and to customer lifetime value, and it is what marketing leadership reads when deciding where campaign dollars go. Built entirely on Microsoft Fabric, this is a hands-on build-and-own role: the person in this seat decides how the semantic layer is structured, defends those decisions to the teams that depend on them, and is the escalation point when the model and the business disagree about what a number means. This is not a report building role and it is not a request queue.

Key Responsibilities

• Design, develop, and maintain the data pipelines and backend queries that populate the semantic layer, maintaining separation between raw, clean, and reporting layers.
• Own the data modeling and architecture of the semantic layer end to end: structure, relationships, storage mode, and refresh behavior.
• Author, maintain, and performance-tune the DAX measure layer.
• Implement and maintain data frameworks and architectures that keep the platform's data consistent, accurate, and ready for use.
• Produce and maintain model documentation as a first-class deliverable.
• Combine, optimize, and manage multiple upstream data sources.
• Serve as the technical point of contact when downstream consumers report the model is wrong.
• Perform on-demand analysis of complex data to identify strategic opportunities and efficiencies.
• Mentor apprentice team members working on model quality assurance and report migration.
• Contribute to the department's applied AI efforts.

Qualifications

• Strong SQL, including T-SQL, sufficient to write, review, and debug production analytical queries.
• Python, sufficient to build and maintain data transformation notebooks.
• DAX, including measure authoring, performance tuning, and evaluation context.
• Demonstrated experience owning a large, centralized semantic model or semantic layer.
• Experience working with data engineering and business intelligence partners on shared infrastructure.
• Ability to make and defend architectural decisions independently.

Preferred Qualifications

• Microsoft Fabric experience (pipelines, lakehouses, warehouse, Direct Lake semantic models).
• Tabular Editor.
• Marketing measurement or attribution background.
• Insurance industry experience.
• Experience building or operating data quality frameworks.

Skills

• DAX
• Data Analytics
• Data Modeling
• Data Pipelines
• Data Quality
• Large Semantic Models
• Microsoft Fabric
• Microsoft Power BI
• Python
• Semantic Data Modeling
• Semantic Layer
• SQL
• Technical Documentation
• Tabular Editor

Experience

• 3 or more years of experience (Preferred)

Supervisory Responsibilities

This job does not have supervisory duties. It does carry technical mentorship responsibility for apprentice team members.

Compensation

Compensation offered for this role is 70,100.00 - 121,475.00 annually and is based on experience and qualifications.

Additional Information

The candidate(s) offered this position will be required to submit to a background investigation.

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.

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