
Data Engineer
About the role
Role Overview
We are looking for a DevOps / Data Engineer to build and manage scalable cloud infrastructure, CI/CD pipelines, and data workflows on AWS. This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms.
This role requires strong ownership, problem-solving skills, and the ability to work across DevOps, data, and engineering teams.
Key Responsibilities
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Build and maintain CI/CD pipelines using GitHub Actions / Bitbucket Pipelines
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Develop and manage Infrastructure as Code (IaC) using Terraform and AWS CDK (Terramate is a plus)
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Manage and optimize AWS services (EC2, S3, Lambda, RDS, API Gateway)
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Deploy and support containerized applications using Docker and Kubernetes/Open Shift
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Develop and support data pipelines and ETL workflows using Python and SQL
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Work with Databricks or similar data platforms for data processing and analytics
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Implement Dev Sec Ops practices, including SAST and secrets management (Hashi Corp Vault)
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Implement monitoring and observability solutions using tools like Grafana
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Monitor systems, troubleshoot issues, and improve performance, reliability, and observability
Basic Requirements
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Bachelor’s degree in computer science, engineering, or related field
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A minimum of 3 years of experience
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Strong experience in AWS Cloud & DevOps
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Strong programming skills in Python for automation and data processing
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Hands-on with Terraform and AWS CDK
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Experience with CI/CD tools (GitHub Actions, Bitbucket, Bamboo)
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Experience with Docker, Kubernetes/Open Shift
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Knowledge of data pipelines, ETL, and analytics workflows
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Experience with monitoring and visualization tools such as Grafana
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Familiarity with logging, monitoring, and incident management
Preferred Requirements:
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Master’s degree in computer science, engineering, or related field
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Experience with Databricks or similar big data platforms
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Experience with event-driven architecture (AWS Lambda)
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Knowledge of Power BI or data visualization tools
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Exposure to Generative AI / RAG / LLM concepts
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Experience in enterprise or automotive data platforms
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Familiarity with Terramate or similar IaC orchestration tools
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Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Kubernetes certifications)
Soft Skills
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Strong problem-solving and analytical skills
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Good communication and stakeholder collaboration
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Experience working in Agile/Scrum environments
Required skills
Data analysis
Reporting
Stakeholder management
About Stellantis
Auburn Hills
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