Stellantis
Stellantis

Data Engineer

RoleData Engineering
LevelMid Level
LocationAuburn Hills, MI, United States
WorkOn-site
TypeFull-time
Posted3 weeks ago
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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

  • Build and maintain CI/CD pipelines using GitHub Actions / Bitbucket Pipelines

  • Develop and manage Infrastructure as Code (IaC) using Terraform and AWS CDK (Terramate is a plus)

  • Manage and optimize AWS services (EC2, S3, Lambda, RDS, API Gateway)

  • Deploy and support containerized applications using Docker and Kubernetes/Open Shift

  • Develop and support data pipelines and ETL workflows using Python and SQL

  • Work with Databricks or similar data platforms for data processing and analytics

  • Implement Dev Sec Ops practices, including SAST and secrets management (Hashi Corp Vault)

  • Implement monitoring and observability solutions using tools like Grafana

  • Monitor systems, troubleshoot issues, and improve performance, reliability, and observability

Basic Requirements

  • Bachelor’s degree in computer science, engineering, or related field

  • A minimum of 3 years of experience

  • Strong experience in AWS Cloud & DevOps

  • Strong programming skills in Python for automation and data processing

  • Hands-on with Terraform and AWS CDK

  • Experience with CI/CD tools (GitHub Actions, Bitbucket, Bamboo)

  • Experience with Docker, Kubernetes/Open Shift

  • Knowledge of data pipelines, ETL, and analytics workflows

  • Experience with monitoring and visualization tools such as Grafana

  • Familiarity with logging, monitoring, and incident management

Preferred Requirements:

  • Master’s degree in computer science, engineering, or related field

  • Experience with Databricks or similar big data platforms

  • Experience with event-driven architecture (AWS Lambda)

  • Knowledge of Power BI or data visualization tools

  • Exposure to Generative AI / RAG / LLM concepts

  • Experience in enterprise or automotive data platforms

  • Familiarity with Terramate or similar IaC orchestration tools

  • Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Kubernetes certifications)

Soft Skills

  • Strong problem-solving and analytical skills

  • Good communication and stakeholder collaboration

  • Experience working in Agile/Scrum environments

Required skills

Data analysis

Reporting

Stakeholder management

About Stellantis

Auburn Hills

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