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Database Engineer Jobs in Dearborn, MI (NOW HIRING)

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 ...

We are seeking a highly skilled Database Engineer with deep expertise in Data Warehousing to design, build, optimize, and maintain large-scale analytical databases that support reporting, business ...

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 ...

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 ...

The Database Developer - Senior will assist in planning, designing, developing and implementing moderately complex company databases, for data reporting and analysis. This may vary from updating ...

The Database Developer - Senior will assist in planning, designing, developing and implementing moderately complex company databases, for data reporting and analysis. This may vary from updating ...

SQL Developer

Detroit, MI

$44.75 - $61.50/hr

... DATABASE ENGINEER Location : Detroit, MI Duration : Long term Rate : Best ONLY GC or CITIZEN Requirements Bachelor's degree in computer science or equivalent Three years of related work experience ...

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

... relational databases and batch/real-time data pipelines using cloud services • 5 years of ... oriented programming language • Strong understanding of database and server internals • ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $180K/yr

Strong Python and SQL, with deep experience designing database and warehouse schemas, including ... Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.

Senior Data Engineer

Detroit, MI

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Strong understanding of database and server internals * Knowledge of Linux system administration ...

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Database Engineer information

See Dearborn, MI salary details

$55.9K

$112.9K

$154.9K

How much do database engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for database engineer in Dearborn, MI is $112,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $129,400.00 per year, depending on experience, location, and employer.

What Is a Database Engineer?

As a database engineer, you work to develop and maintain data solutions and information systems for a company in any industry that requires processing and storage of large amounts of information, including healthcare providers or financial service firms. Because you often deal with sensitive data, you must be familiar with appropriate data protection and encryption processes, as well as relevant regulatory frameworks like HIPAA.

What does a Database Engineer do?

A Database Engineer is responsible for designing, implementing, and maintaining databases that store and organize data for organizations. They ensure that databases are reliable, secure, and optimized for performance. Their duties often include developing database architecture, writing scripts to automate tasks, troubleshooting issues, and collaborating with other IT professionals. Database Engineers play a key role in managing large volumes of data and supporting business operations through data integrity and availability.

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

To thrive as a Database Engineer, you need expertise in database design, management, and optimization, often supported by a degree in computer science or a related field. Proficiency with database platforms like MySQL, PostgreSQL, Oracle, or SQL Server, as well as experience with tools such as SQL, ETL processes, and relevant certifications (e.g., Microsoft Certified: Azure Database Administrator Associate) are typical requirements. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with developers and stakeholders. These skills are crucial for ensuring data integrity, system performance, and supporting business operations through reliable data management.

What are some common challenges faced by Database Engineers when working with large-scale databases?

Database Engineers working with large-scale databases often encounter challenges such as optimizing query performance, ensuring data consistency across distributed systems, and managing database scalability as data volumes grow. They also need to implement robust backup and recovery solutions to minimize downtime in case of failures. Collaborating closely with application developers and system administrators is essential to address these challenges and maintain database reliability and security.

What is the difference between Database Engineer vs Database Administrator?

AspectDatabase EngineerDatabase Administrator
Primary RoleDesigns, develops, and implements database systems and solutionsMaintains, monitors, and manages existing databases for performance and security
Skills & CertificationsSQL, database design, scripting, certifications like Microsoft Certified: Azure Database Administrator AssociateSQL, backup and recovery, security, certifications like Oracle Certified Professional
Work EnvironmentOften involved in development teams, working on new database solutionsTypically in operations teams, ensuring database stability and performance
Employer & Industry UsageTech companies, finance, healthcare, where database design is neededOrganizations requiring ongoing database management and support

While both roles work with databases, Database Engineers focus on designing and building new database systems, whereas Database Administrators manage and maintain existing databases to ensure optimal performance and security.

What job categories do people searching Database Engineer jobs in Dearborn, MI look for? The top searched job categories for Database Engineer jobs in Dearborn, MI are:
Infographic showing various Database Engineer job openings in Dearborn, MI as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $112,899 per year, or $54.3 per hour.

Senior Cloud Database Engineer

FastTek

Dearborn, MI

$97K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Senior Cloud Database Engineer #1059226
Job Description:
  • 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, architecture, and standardized "golden paths" for cloud databases and the AI journey on Google Cloud Platform (GCP).
  • This position extends beyond traditional database administration.
  • You will act as a technical leader and pattern owner, shaping the vision and roadmap for our database platform.
  • A key focus is 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.

Key Responsibilities:
  • AI-Driven Database Innovation GenAI Productivity: Lead adoption of Gemini Enterprise for tasks such as query generation, debugging, and schema optimization.
  • Contextual AI Patterns: Define patterns for integrating Model Context Protocol (MCP) with databases for contextual AI interactions.
  • Intelligent Automation: Identify and implement AI-driven automation across the lifecycle, including capacity planning, anomaly detection, and self-tuning.
  • AI/ML Collaboration: Partner with AI/ML teams to embed ML, statistical models, and GenAI into data platform strategies.
  • Agent Development: Build intelligent agents on database AI frameworks to deliver business value, improve fault detection, and reduce OLTP costs.
  • Metadata, Governance & Compliance Metadata & Discovery: Establish enterprise standards for metadata, including tagging, classification, lineage, and discoverability.
  • Data-as-a-Product: Promote well-documented, discoverable, and consumable datasets.
  • Security & Compliance: Align with frameworks such as GDPR and HIPAA; manage GCP IAM, service accounts, role bindings, and encryption. Implement secure agent practices (e.g., OBO, authorization).
  • Database SRE & Performance Engineering SRE: Apply reliability practices to ensure availability, fault tolerance, and disaster recovery.
  • Performance Tuning: Lead query optimization, indexing strategies, and troubleshooting across distributed systems.
  • DevSecOps: Enable secure CI/CD pipelines for database code and configurations.
  • Database Architecture, IaC & Platform Strategy Define Golden Paths: Establish scalable, secure, self-service database architectures and roadmaps on GCP.
  • Infrastructure as Code: Build and maintain Terraform templates for automated provisioning and lifecycle management.
  • Multi-Engine & Serverless Integration: Architect across SQL (SQL Server, PostgreSQL, MySQL, AlloyDB, Spanner) and NoSQL (MongoDB, Firestore, Bigtable, Memorystore, Neo4j) with Cloud Functions and Cloud Run.
  • Data Modeling & ETL: Develop complex data models and reliable ETL pipelines integrating multiple data sources.
  • Cross-Team Leadership & Enablement Thought Leadership: Advise engineering, data, and AI teams on best practices.
  • Culture & Mentorship: Foster an AI-assisted, platform-first culture and mentor engineers.

Required Qualifications Experience:
  • 5+ years in database engineering with GCP AI enablement focus. AI/GenAI
  • Familiarity: Experience with Gemini Enterprise (or similar) and understanding of MCP or equivalent patterns.
  • Data Governance: Experience with Dataplex and Knowledge Catalog for metadata and lineage.
  • Multi-Engine Proficiency: Hands-on experience with GCP databases including Cloud SQL, AlloyDB, Spanner, Firestore, Memorystore, MongoDB, and BigQuery.
  • Security & DevSecOps: Knowledge of GCP IAM, encryption, and CI/CD practices.

Preferred Qualifications Platform Engineering:
  • Experience building Internal Developer Platforms (IDPs).
  • Certifications: GCP Professional Cloud Database Engineer or Data Engineer.
  • Automation & Coding: Proficiency in Terraform and programming (Python/Java).
  • Cloud-Native Ecosystems: Experience with Kubernetes (GKE) and database operators.
  • Advanced Analytics: Understanding of statistical analysis, data modeling, and ML libraries.

Skills Required:
  • GCP

Skills Preferred:
  • Artificial Intelligence & Expert Systems

Experience Required:
  • Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
  • 6+ years in IT;
  • 4+ years in development

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Certification Program

Key Responsibilities
  • AI-Driven Database Innovation GenAI Productivity: Lead the adoption of Gemini Enterprise for database engineering productivity (e.g., automated query writing, debugging, and schema optimization).
  • Contextual AI Patterns: Define and implement patterns for integrating the Model Context Protocol (MCP) with databases to enable seamless, contextual AI interactions.
  • Intelligent Automation: Identify and deploy AI-driven automation opportunities across the database lifecycle, including predictive capacity planning, anomaly detection, and self-tuning.
  • AI/ML Collaboration: Partner with AI/ML teams to embed machine learning libraries, statistical modeling, and GenAI capabilities into broader data platform strategies.
  • Agent Development: Build agents on top of database AI framework that drive business value fault detection and cost reduction in the OLTP space at source and instant value realization.

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.