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Database Automation Engineer Jobs in Michigan (NOW HIRING)

Stellantis

AI & Automation Engineer

Auburn Hills, MI · On-site

Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms * Develop proof-of-concepts, run pilot programs, gather user feedback ...

Sentinel

Automation Engineer

Auburn Hills, MI

We are seeking an Automation Engineer to support the design, development, and implementation of ... Basic knowledge of SQL and database concepts. * Exposure to SAP or ERP systems. * Knowledge of ...

Sentinel

Automation Engineer

Auburn Hills, MI · On-site

Responsibilities We are seeking an Automation Engineer to support the design, development, and ... Basic knowledge of SQL and database concepts. * Exposure to SAP or ERP systems. * Knowledge of ...

fairlife

Process Automation Engineer

Coopersville, MI · On-site

The Process Automation Engineer continuously supports plant processing, packaging and utility ... Proficiency working with SQL Server, Oracle or other relational databases * Experience with ...

fairlife

Process Automation Engineer

Coopersville, MI · On-site

The Process Automation Engineer continuously supports plant processing, packaging and utility ... Proficiency working with SQL Server, Oracle or other relational databases * Experience with ...

FastTek

Senior Cloud Database Engineer

Dearborn, MI

$97K - $132K/yr

Intelligent Automation: Identify and implement AI-driven automation across the lifecycle, including ... Database SRE & Performance Engineering SRE: Apply reliability practices to ensure availability ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Identify and implement AI-driven automation across the database lifecycle, including capacity ... Advise engineering, data, and AI teams on best practices. * Foster an AI-assisted, platform-first ...

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Database Automation Engineer information

What is the difference between Database Automation Engineer vs Database Administrator?

AspectDatabase Automation EngineerDatabase Administrator
Primary FocusDevelops automation scripts and tools to streamline database processesManages, maintains, and secures databases manually
Skills & CertificationsSQL, scripting, automation tools, certifications like Oracle or Microsoft SQL ServerDatabase management, backup, recovery, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentOften works in DevOps, software development, or IT automation teamsTypically in IT operations, data management teams

While both roles require strong SQL knowledge and certifications, the Database Automation Engineer focuses on creating automated solutions to improve database efficiency, whereas the Database Administrator handles the day-to-day management and security of databases. Understanding these differences helps organizations assign the right skills to optimize database performance and reliability.

What are Database Automation Engineers?

Database Automation Engineers are IT professionals who design, implement, and manage automated processes to streamline database operations. Their primary goal is to reduce manual intervention by leveraging scripting, tools, and technologies such as DevOps pipelines, configuration management, and monitoring solutions. They ensure databases are efficiently deployed, maintained, and monitored for performance and reliability, often collaborating with database administrators and development teams. This role requires a strong understanding of database systems, automation tools, and programming languages.

What are the key skills and qualifications needed to thrive as a Database Automation Engineer, and why are they important?

To thrive as a Database Automation Engineer, you need expertise in database management, scripting languages (such as Python or PowerShell), and a solid understanding of automation processes, often supported by a degree in computer science or a related field. Familiarity with database platforms (like MySQL, SQL Server, or Oracle), automation tools (such as Ansible or Jenkins), and certifications like Microsoft Certified: Azure Database Administrator Associate are typically beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for ensuring efficient, reliable, and scalable database operations in complex, data-driven environments.

How does a Database Automation Engineer typically collaborate with development and operations teams?

Database Automation Engineers work closely with both development and operations teams to streamline database deployment, management, and monitoring. They often design automated workflows for database provisioning, backups, and updates, ensuring that developers have reliable access to data while minimizing downtime. Collaboration includes participating in DevOps initiatives, supporting CI/CD pipelines, and troubleshooting performance issues alongside other team members. This cross-functional teamwork helps maintain database reliability and supports rapid delivery cycles.
What are popular job titles related to Database Automation Engineer jobs in Michigan? For Database Automation Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Database Automation Engineer jobs in Michigan look for? The top searched job categories for Database Automation Engineer jobs in Michigan are:
What cities in Michigan are hiring for Database Automation Engineer jobs? Cities in Michigan with the most Database Automation Engineer job openings:
Database Automation Engineer jobs near you
AI & Automation Engineer

AI & Automation Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 21 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Join our engineering organization as an AI & Automation Engineer focused on building scalable, AI-enabled solutions that streamline the Verification & Validation (V&V) lifecycle. This role develops automation tools, software applications, and intelligent workflows that increase efficiency, improve quality, and accelerate delivery across engineering teams. You will partner with global stakeholders to design, deploy, and optimize modern automation and AI-driven capabilities.
Key Responsibilities
  • Design and develop software tools, APIs, scripts, and automation workflows supporting Verification & Validation (V&V) engineering activities
  • Build and implement AI-enabled solutions including generative AI use cases for requirements analysis, DVP creation, automated test generation, traceability, and validation evidence review
  • Integrate automation and AI solutions with engineering systems, dashboards, CI/CD pipelines, databases, and validation platforms
  • Develop proof-of-concepts, run pilot programs, gather user feedback, and transition solutions into production environments
  • Collaborate with cross-functional and global teams to define requirements, validate solutions, and drive adoption of automation tools
  • Identify opportunities to reduce manual effort, improve process consistency, and increase engineering efficiency through automation and AI
  • Ensure scalable, maintainable, and well-documented code following software development best practices

Basic Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical field.
  • Strong programming skills in at least one language such as Python, JavaScript, TypeScript, C#, or C++.
  • 7+ years of relevant experience in this field
  • Experience developing software tools, automation scripts, APIs, data pipelines, or workflow automation solutions.
  • Understanding of software development fundamentals, including version control, debugging, testing, documentation, and maintainable code design.
  • Ability to analyze engineering processes and translate them into structured automation solutions.
  • Strong problem-solving, communication, and collaboration skills.
  • Basic familiarity with AI-enabled tools, generative AI concepts, or AI-assisted software development, with interest in applying AI to engineering automation use cases.

Preferred Qualifications:
  • Experience with AI, machine learning, generative AI, large language models, RAG, vector search, prompt engineering, or AI-assisted software development.
  • Experience developing dashboards, web applications, internal engineering tools, or user-facing automation platforms.
  • Experience with front-end or full-stack development using technologies such as React, TypeScript, or similar frameworks.
  • Familiarity with SQL, relational databases, data modeling, or database-driven application development.
  • Familiarity with cloud platforms, containers, data platforms such as Databricks or similar, and CI/CD tools such as TeamCity, Jenkins, GitHub Actions, Azure DevOps, or similar.
  • Experience working with global teams and supporting adoption of new tools, methods, or automation practices.

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