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Data Engineer

Detroit Area, Michiganfull timemidAdded today

About this role

We're seeking a Data Engineer to build and maintain robust data pipelines and infrastructure that power analytics and machine learning initiatives. You'll design scalable solutions, optimize data workflows, and collaborate with analysts and scientists to deliver reliable data access.

What you'll do

  • Design and implement data pipelines and ETL processes for large-scale data ingestion
  • Build and maintain data infrastructure and warehousing solutions
  • Optimize database performance and ensure data quality across systems
  • Collaborate with analytics and machine learning teams to support data requirements
  • Monitor, troubleshoot, and improve existing data systems
  • Document data architecture and best practices

What they're looking for

  • Python or Java programming
  • SQL and relational databases
  • Big data technologies (Spark, Hadoop, etc.)
  • ETL and data pipeline development
  • Cloud platforms (AWS, Azure, or GCP)
  • Data warehousing concepts
  • Version control and CI/CD practices
  • Problem-solving and system design
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Reply

Reply builds enterprise software solutions across identity and access management, cloud infrastructure, and mobile/web applications, with a focus on client relationships and secure, modern technology stacks. The company is hiring software engineers, developers, and infrastructure specialists in areas including iOS development, C# and React, IAM platforms, and DevOps/Kubernetes.

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Likely interview questions

  • Walk us through your experience designing and implementing data pipelines from end to end.
  • How do you approach optimizing slow-running ETL jobs?