Data Engineer

Posted 4 Days Ago
Auburn Hills, MI, USA
In-Office
Mid level
Automotive
The Role
Build and maintain cloud infrastructure, CI/CD pipelines, and data pipelines on AWS. Implement IaC (Terraform, AWS CDK), container orchestration (Docker, Kubernetes/OpenShift), DevSecOps practices, monitoring, and data processing using Python, SQL, and Databricks to improve reliability, performance, and observability.
Summary Generated by Built In
Job Summary & Responsibilities

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
Preferred Qualifications

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

 

Skills Required

  • Bachelor's or master's degree in computer science, engineering, or related field
  • 3+ years' experience
  • Strong experience in AWS Cloud & DevOps (EC2, S3, Lambda, RDS, API Gateway)
  • Strong programming skills in Python for automation and data processing
  • Proficiency with SQL for ETL and data workflows
  • Hands-on with Terraform and AWS CDK (Terramate a plus)
  • Experience building CI/CD pipelines (GitHub Actions, Bitbucket Pipelines, Bamboo)
  • Experience with Docker and Kubernetes/OpenShift
  • Knowledge of data pipelines, ETL, and analytics workflows
  • Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault)
  • Experience with monitoring and observability tools such as Grafana; logging and incident management
  • Experience with Databricks or similar big data platforms
  • Experience with event-driven architecture (AWS Lambda)
  • Knowledge of Power BI or other 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 (AWS, Kubernetes)

Stellantis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.

  • Pay Growth & Progression Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
  • Affordable Benefits UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
  • Retirement Support Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.

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The Company
HQ: Auburn Hills, MI
104,031 Employees

What We Do

Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.

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