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Data Engineer Consultant II

Job in Aurora, Kane County, Illinois, 60505, USA
Listing for: Allstate Insurance
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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

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 cloud native 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 / One Lake (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.

Required Qualifications

  • Strong experience as a Data Engineer building and operating production data pipelines.
  • Handson experience with Apache Spark for large scale data processing.
  • Proficiency in Python
    , SQL
    , and data transformation best practices.
  • Experience with cloud based data platforms and storage (e.g., Data Lakes, Lakehouse architectures).
  • Familiarity with Microsoft Fabric
    , One Lake
    , 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 problem solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills and ability to collaborate across technical and nontechnical teams.
  • 2+ years of experience in data engineering or equivalent role (preferred).

Preferred / Niceto Have Skills

  • Experience with realtime or event driven data processing.

Skills
Data Analysis, Python (Programming Language)

Compensation

Compensation offered for this role is 70,100. 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.

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