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Data Engineering Lead

Coates Group· Product and Technology – Infrastructure
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Hybrid (West Loop, Chicago, IL)$145.2k - $165kFull-timePosted 3w ago

About the role

Lead the evolution of Coates’ next-generation enterprise data platform on AWS, enabling analytics, governance, and future AI capabilities through hands-on technical leadership and cross-functional collaboration.

Responsibilities

  • Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities
  • Design and implement reliable, production-grade data pipelines and processing frameworks for batch and near real-time data
  • Define enterprise standards for data architecture, modeling, observability, reliability, and platform performance
  • Lead foundational technical decisions across tooling, infrastructure, data design, scalability, and operational efficiency
  • Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment practices across the data platform
  • Enable high-quality, accessible, and governed data products through scalable semantic layers, curated datasets, and transformation standards
  • Provide hands-on technical leadership, mentoring, and architectural direction for a growing team of data engineers and cross-functional stakeholders

Qualifications

  • 5+ years of experience in data engineering with strong expertise in scalable system and platform design
  • Proven experience building, modernizing, or significantly evolving enterprise data platforms and architectures
  • Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift
  • Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows
  • Experience implementing workflow orchestration solutions, preferably Airflow
  • Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK
  • Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks

Skills

Required:AWS data ecosystemPythonSQLTerraform or AWS CDK
Nice to have:Airflow

Benefits

  • Thrive Program with flexible work options including health and well-being initiatives
  • Global Wellness paid day off
  • Give Back Day to support community involvement
  • Annual market competitive bonus program
Last updated Oct 21, 2026. Interested? Apply on the company site.
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