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Allstate
Allstate
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„Allstate“ teikia draudimo ir apsaugos produktus, skirtus būstui, automobiliams, įrenginiams ir tapatybės apsaugai. Įmonės veiklos centre – padėti klientams valdyti riziką, apsaugoti savo finansus ir drąsiau susidoroti su netikėtais įvykiais. Įmonė taip pat pabrėžia dalyvavimą bendruomenės veikloje ir darnų vystymąsi kaip platesnio požiūrio į klientų aptarnavimą ir teigiamo socialinio poveikio kūrimą dalį.
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Remote Data Engineer – Risk Data (Illinois)

Build governed risk data pipelines and analytics products for Allstate. Turn fragmented risk data into reliable datasets, dashboards, and AI-ready capabilities.

USJungtinės ValstijosILIlinojus
100 000 $ – 170 500 $ / metai
NuotolinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
ApacheDebesijaETLPythonSparkSQL

Aprašymas

  • Design and maintain trusted risk data products and scalable batch and streaming pipelines with cloud-native technologies.
  • Integrate risk, control, vendor, operational, and external data into governed datasets ready for analytics.
  • Create and improve ETL/ELT workflows for automated ingestion, transformation, validation, reconciliation, and delivery.
  • Manage data processing workloads across modern data lake and lakehouse environments, including Microsoft Fabric and OneLake.
  • Establish data quality, monitoring, lineage, and reconciliation practices.
  • Produce curated datasets and analytical outputs for reporting, leadership dashboards, trend analysis, risk detection, and decision support.
  • Refine data architectures, schemas, and processing patterns to improve scalability, performance, resilience, and cost efficiency.
  • Build reusable frameworks, engineering standards, CI/CD pipelines, automated tests, and operational monitoring.
  • Collaborate with analytics, product, risk, governance, security, and compliance teams on definitions, metrics, quality standards, and secure access.
  • Contribute to Agile delivery through sprint planning, backlog refinement, design reviews, and continuous improvement.

Reikalavimai

  • At least four years of experience as a Data Engineer or in a comparable role supporting production-grade pipelines and data products.
  • Practical experience using Apache Spark for large-scale data processing and transformation.
  • Strong command of Python, SQL, and modern data engineering practices.
  • Experience developing ETL/ELT solutions on cloud data lake, lakehouse, or analytics platforms.
  • Experience designing and optimizing analytical models for reporting, dashboards, operational insights, and advanced analytics.
  • Solid knowledge of data quality, validation, monitoring, reconciliation, and production support.
  • Experience with CI/CD, version control, automated testing, and infrastructure-as-code concepts.
  • Ability to investigate complex data quality, performance, and integration problems across multiple sources.
  • Strong written and verbal communication skills.
  • Microsoft Fabric, OneLake, or comparable modern analytics platform experience is preferred.
  • Experience with risk, controls, compliance, audit, governance, or regulatory data.
  • Experience developing real-time, near-real-time, or event-driven processing solutions.
  • Familiarity with data governance, metadata management, lineage, access controls, and enterprise data quality frameworks.
  • Experience using orchestration and workflow management tools for data pipelines.
  • Experience supporting operational reporting, executive dashboards, trend analysis, advanced analytics, or machine learning initiatives.
  • Successful completion of a background investigation is required.
  • Reliable internet service with minimum speeds of 50 MB download and 5 MB upload.
  • A dedicated private workspace with suitable desk and seating, free from distractions.
  • Allstate generally does not sponsor employment-based visas for this position.

Privalumai

  • Technology equipment package including a laptop, monitors, headset, keyboard, and mouse.
  • Monthly connectivity reimbursement for employees eligible to work from home.

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