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Remote Data Engineer

Remote / Online - Candidates ideally in
Oak Brook, DuPage County, Illinois, 60523, USA
Listing for: 1872 Consulting
Remote/Work from Home position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Job Description & How to Apply Below

Sr. Data Engineer

Remote - Onsite 3 days per month in Greater Chicago

Position Summary

This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across our enterprise.

Responsibilities
  • Build and maintain real-time and batch data pipelines across the advanced analytics platform.
  • Design, develop and orchestrate highly robust and scalable ETL pipelines.
  • Design and implement Dimensional and No

    SQL data modeling as per the business requirements.
  • Develop highly optimal codebase and perform Spark optimizations for Big Data use cases.
  • Design, develop and deploy optimal monitoring and testing strategy for the data products.
  • Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.
  • Collaborate with data scientists to prepare data for model development and production.
  • Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
  • Collaborate with data architects on the enhancement of our enterprise data architecture and platforms.
  • Provide leadership to third-party contractors.
  • Comply with health and safety guidelines and rules.
  • Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
Requirements
  • 4+ years of experience in Data Engineering
  • 2+ years of experience with Advanced Analytics or Data Science
  • Proficient in Spark
  • Experience with Azure
Nice to have
  • Experience with IoT Data Architecture.
  • Machine Learning Operationalization (MLOps) proficiency.
  • Proficiency with streaming design patterns
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