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Database Automation Engineer Jobs in Michigan (NOW HIRING)

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 ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

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 ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

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 ...

ControlsJobs

BAS Software Engineer

Grand Rapids, MI · On-site

Are you a detail-driven Building Automation programmer looking to contribute to smarter, more ... Build controls databases and create Tridium front-end graphics * Perform system testing ...

FastTek

Database Administrator

Jackson, MI · On-site

Proficiency with T‑SQL, scripting, and automation for database operations. * Ability to diagnose ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related field;

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All JobsDatabase Automation Engineer JobsDatabase Automation Engineer Jobs in Michigan

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
GCP Data Engineer

GCP Data Engineer

Stefanini Group

Dearborn, MI

Contractor

Re-posted 25 days ago

Job description

Stefanini Group is hiring!

Stefanini is looking for a GCP Database Engineer(Dearborn, MI)

For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com

We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team. This role focuses on defining strategy, architecture, and standardized 'golden paths' for cloud databases and the AI journey on Google Cloud Platform (GCP). You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale.


Responsibilities

  • Lead adoption of Gemini Enterprise for query generation, debugging, and schema optimization.
  • Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
  • Identify and implement AI-driven automation across the database lifecycle, including capacity planning, anomaly detection, and self-tuning.
  • Partner with AI/ML teams to integrate ML, statistical models, and GenAI into data platform strategies.
  • Build intelligent agents on database AI frameworks to improve fault detection and reduce OLTP costs.
  • Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
  • Promote well-documented, discoverable datasets.
  • Align with GDPR and HIPAA frameworks; manage GCP IAM, service accounts, role bindings, and encryption.
  • Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
  • Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
  • Enable secure CI/CD pipelines for database code and configurations.
  • Establish scalable, secure, self-service database architectures on GCP.
  • Build and maintain Terraform templates for automated provisioning and lifecycle management.
  • Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
  • Develop complex data models and reliable ETL pipelines integrating multiple data sources.
  • Advise engineering, data, and AI teams on best practices.
  • Foster an AI-assisted, platform-first culture and mentor engineers.

Skills Required

  • GCP

Skills Preferred

  • Artificial Intelligence & Expert Systems

 

Experience Required

  • 6+ years of experience in IT; 4+ years in development.
  • 5+ years in database engineering with a focus on GCP AI enablement.
  • Experience with Gemini Enterprise and understanding of MCP or equivalent patterns.
  • Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Knowledge of GCP IAM, encryption, and CI/CD practices.
  • Experience building Internal Developer Platforms (IDPs).
  • GCP Professional Cloud Database Engineer or Data Engineer.
  • Proficiency in Terraform and programming (Python/Java).
  • Experience with Kubernetes (GKE) and database operators.
  • Understanding of statistical analysis, data modeling, and ML libraries.
    Education Required
  • Bachelor's Degree

Education Preferred
Certfication Program

**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.


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Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR

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