Data Engineer

Stellantis NV

Auburn Hills, MI

JOB DETAILS
SKILLS
AWS Lambda, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Automation, Big Data, Cloud Computing, Communication Skills, Computer Programming, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Processing, Data Visualization Tools, Database Extract Transform and Load (ETL), DevOps, GitHub, Identify Issues, Incident Management, Performance Management, Power BI, Python Programming/Scripting Language, Reliability Engineering, SQL (Structured Query Language), Scalable System Development, Software Engineering, Workflow Analysis
LOCATION
Auburn Hills, MI
POSTED
7 days ago

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/OpenShift

  • 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 DevSecOps practices, including SAST and secrets management (HashiCorp Vault)

  • Implement monitoring and observability solutions using tools like Grafana

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

Basic Requirements

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

  • 3+ years' 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/OpenShift

  • 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

  • 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

About the Company

S

Stellantis NV