1

Cloud Database Engineer Jobs in Michigan (NOW HIRING)

Cloud Database Engineer Location: Dearborn, Michigan Job Type: W2 Contract Expected hours per week: 40 hours Schedule: Hybrid (4 days onsite, 1 day remote) Pay Range (must include "per hour"): $65-75 ...

New

Cloud Database Engineer Location: Dearborn, Michigan Job Type: W2 Contract Expected hours per week: 40 hours Schedule: Hybrid (4 days onsite, 1 day remote) Pay Range (must include "per hour"): $65-75 ...

Senior Cloud Database Engineer

Dearborn, MI

$97K - $132K/yr

Senior Cloud Database Engineer #1059226 * We are seeking a Senior Cloud Database Engineer with 5+ years of experience to join our Platform Engineering team. * This role focuses on defining strategy ...

GCP Cloud Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

They are seeking a Senior Cloud Database Engineer to join their Platform Engineering team, focusing on defining strategy and architecture for cloud databases and AI capabilities on Google Cloud ...

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 ...

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 ...

GCP Data Engineer

Dearborn, MI · On-site

$61 - $66/hr

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 ...

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 ...

... modern cloud or on-prem data warehousing technologies. Responsibilities * Data Warehouse ... Mentor junior database or data engineers when applicable Required Qualifications * Bachelor ...

Database Administrator, Sr

Detroit, MI · On-site

$49.25 - $67.75/hr

Overview The Database Administrator Sr is responsible for all facets of engineering and ... cloud database environments. • Once deployed, responsible for maintaining the database ...

Database Administrator, Sr

Detroit, MI · On-site

$49.25 - $67.75/hr

The Database Administrator Sr is responsible for all facets of engineering and administering ... cloud database environments. · Once deployed, responsible for maintaining the database ...

Cloud Engineer

Dimondale, MI · On-site

$59.25 - $79.25/hr

Containerization, Linux, Database skills, security and recovery, web services and applications programming interfaces (APIs) Core Tasks * Assist senior cloud architects with the design and deployment ...

next page

Showing results 1-20

Cloud Database Engineer information

See Michigan salary details

$52.7K

$106.4K

$146K

How much do cloud database engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for cloud database engineer in Michigan is $106,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $122,000.00 per year, depending on experience, location, and employer.

What is a Cloud Database Engineer job?

A Cloud Database Engineer is responsible for designing, implementing, and managing databases that run on cloud platforms like AWS, Azure, or Google Cloud. They ensure database availability, security, and performance while optimizing cloud resource usage. Their role includes data migration, backup and recovery, automation, and integrating databases with cloud-native services. They also collaborate with developers and DevOps teams to streamline database operations.

What are the key skills and qualifications needed to thrive in the Cloud Database Engineer position, and why are they important?

To thrive as a Cloud Database Engineer, you need a robust understanding of database design, deployment, and management within cloud environments, often demonstrated by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, proficiency in SQL and NoSQL databases, and certifications such as AWS Certified Database - Specialty are highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills in this role. These competencies ensure you can build secure, scalable, and efficient cloud database solutions while working seamlessly within multidisciplinary teams.

What are some typical challenges faced by Cloud Database Engineers and how are they addressed?

Cloud Database Engineers often encounter challenges related to ensuring data security, optimizing performance, and managing database scalability in dynamic cloud environments. Staying up-to-date with evolving cloud technologies and implementing best practices for backup, disaster recovery, and compliance is critical. Collaboration with development and DevOps teams is common to fine-tune database performance and support application needs. Most organizations provide ongoing training and encourage the use of up-to-date monitoring tools to help engineers proactively address these challenges. This makes the role dynamic and offers opportunities to constantly learn and apply new solutions.

What are the most commonly searched types of Cloud Database Engineer jobs in Michigan? The most popular types of Cloud Database Engineer jobs in Michigan are:
What are popular job titles related to Cloud Database Engineer jobs in Michigan? For Cloud Database Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cloud Database Engineer jobs in Michigan look for? The top searched job categories for Cloud Database Engineer jobs in Michigan are:
Infographic showing various Cloud Database Engineer job openings in Michigan as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $106,432 per year, or $51.2 per hour.
Cloud Database Engineer

Cloud Database Engineer

EPITEC

Dearborn, MI • On-site

$65 - $75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago


Job description

  • Location: Dearborn, Michigan
  • Type: Contract
  • Job #104478
Job Title: Cloud Database Engineer
Location: Dearborn, Michigan
Job Type: W2 Contract
Expected hours per week: 40 hours
Schedule: Hybrid (4 days onsite, 1 day remote)
Pay Range (must include "per hour"): $65-75 an hour
Job Description:
We are seeking a Senior Cloud Database Engineer to join our Platform Engineering team, focusing on defining strategy, architecture, and standardized "golden paths" for cloud databases and the AI journey on GCP. This role extends beyond traditional database administration, acting as a technical leader and pattern owner to shape the vision and roadmap while embedding AI/GenAI capabilities into how teams design, build, secure, and operate intelligent data systems at scale.
Key Responsibilities:
  • Lead AI-driven database innovation, including adoption of Gemini Enterprise for query generation, debugging, and schema optimization
  • Define contextual AI patterns by 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 embed ML, statistical models, and GenAI into data platform strategies and build intelligent agents for business value and OLTP cost reduction
  • Establish enterprise standards for metadata, tagging, classification, lineage, and discoverability using Dataplex and Knowledge Catalog
  • Promote Data-as-a-Product with well-documented, discoverable, and consumable datasets
  • Align security and compliance with GDPR, HIPAA, and GCP IAM, including service accounts, role bindings, encryption, and secure agent practices
  • Apply database SRE practices to ensure availability, fault tolerance, and disaster recovery
  • Lead performance tuning, query optimization, indexing strategies, and troubleshooting across distributed systems
  • Enable DevSecOps practices with secure CI/CD pipelines for database code and configurations
  • Define scalable, secure, self-service "golden paths" and database architectures on GCP
  • Build and maintain Terraform templates for automated provisioning and lifecycle management
  • Architect across SQL and NoSQL engines (Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, BigQuery) with Cloud Functions and Cloud Run
  • Develop complex data models and reliable ETL pipelines integrating multiple data sources
  • Provide cross-team leadership, advising engineering, data, and AI teams, and fostering an AI-assisted, platform-first culture with mentorship

Benefits: Medical, Dental, Vision, PTO & 401K
#LI-MF2
#INDOEM