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Entry Level Database Jobs in Dearborn, MI (NOW HIRING)

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Warren, MI · On-site

$100K/yr

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Entry Level Database information

See Dearborn, MI salary details

$9

$17

$24

How much do entry level database jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level database in Dearborn, MI is $17.50, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.66 per hour, depending on experience, location, and employer.

What is an entry level database?

Entry level database jobs are positions designed for individuals who are new to working with databases, such as recent graduates or those transitioning into IT. These roles typically involve tasks like database maintenance, data entry, running queries, assisting with backups, and supporting database administrators. Common titles include Database Assistant, Junior Database Analyst, and Database Support Technician. These roles require foundational knowledge of database management systems such as SQL, basic data manipulation, and attention to detail. Entry level database jobs provide valuable experience and skills for advancing to more specialized database or data management roles.

What does an entry level database professional do?

As an Entry Level Database professional, your daily tasks often include monitoring database performance, assisting with data entry and migration, running basic queries, and ensuring data integrity through regular checks. You may also support senior database administrators by troubleshooting user issues, helping with database backups, and preparing simple reports. This role provides valuable exposure to database management systems and offers opportunities to learn best practices in data security and optimization while collaborating closely with IT teams and end-users.

What are the key skills and qualifications needed to thrive as an entry level database professional?

To thrive as an Entry Level Database professional, you need a foundational understanding of database concepts, SQL, and data modeling, often supported by a relevant degree or coursework in computer science or information technology. Familiarity with database management systems like MySQL, Oracle, or Microsoft SQL Server, and certifications such as Microsoft Certified: Azure Data Fundamentals, are commonly expected. Attention to detail, analytical thinking, and effective communication are vital soft skills for troubleshooting and collaborating with team members. These skills ensure efficient data management, reliable database performance, and successful support of organizational data needs.

What is the difference between Entry Level Database vs Database Administrator?

AspectEntry Level DatabaseDatabase Administrator
CredentialsBasic understanding of databases, often no certification requiredAdvanced certifications like Oracle DBA, Microsoft SQL Server certifications
Work EnvironmentSupport roles, data entry, basic maintenanceManage and optimize databases, troubleshoot issues
Industry UsageEntry-level positions across various industriesSpecialized roles in IT, finance, healthcare, and tech companies

Entry Level Database roles focus on basic database support and maintenance, often requiring minimal certifications. Database Administrators handle complex database management, requiring advanced skills and certifications. The entry-level position is ideal for those starting in the field, while the DBA role is more specialized and experienced.

What are the most commonly searched types of Database jobs in Dearborn, MI?

The most popular types of Database jobs in Dearborn, MI are:

What are popular job titles related to Entry Level Database jobs in Dearborn, MI?

For Entry Level Database jobs in Dearborn, MI, the most frequently searched job titles are:

What job categories do people searching Entry Level Database jobs in Dearborn, MI look for?

The top searched job categories for Entry Level Database jobs in Dearborn, MI are:

Infographic showing various Entry Level Database job openings in Dearborn, MI as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $36,408 per year, or $17.5 per hour.

Full-time

Re-posted 15 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

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Job description

Job Summary:

We are seeking a highly skilled and creative Entry Level - Generative AI Engineer to apply state-of-the-art generative models to solve complex challenges in automotive engineering. This role focuses on creating intelligent agents that leverage generative capabilities for reasoning, planning, and executing complex tasks autonomously. The ideal candidate will bridge the gap between generative AI's creative potential and agentic AI's autonomous action, developing systems that can understand, reason, and act in dynamic environments.

Key Responsibilities

Integrated AI System Development:

Design and build AI agents that utilize large language models for reasoning and decision-making

Develop systems where generative AI components enable sophisticated planning and problem-solving

Create autonomous agents capable of using tools, APIs, and external systems through generative interfaces

Implement multi-agent systems where generative AI facilitates communication and collaboration

Generative AI Capabilities:

Fine-tune and optimize large language models for specific agentic tasks

Develop prompt engineering strategies for complex reasoning and chain-of-thought processes

Implement RAG (Retrieval-Augmented Generation) systems to enhance agent knowledge and context

Create generative models for code generation, content creation, and strategic planning within agent frameworks

Agent Architecture & Autonomy:

Build reflective agents that can critique and improve their own reasoning processes

Design goal-oriented systems that use generative AI for planning and adaptation

Implement memory architectures that allow agents to learn from experience and maintain context

Develop safety mechanisms and oversight for autonomous generative agents

Multi-Modal Agent Systems:

Integrate vision, language, and action capabilities within agent frameworks

Develop agents that can process and generate across multiple modalities (text, image, audio)

Create embodied agents that interact with digital and physical environments

Research & Innovation: Stay current with the latest academic research and open-source advancements in generative AI. Prototype new ideas and conduct experiments to validate their feasibility and impact.

Education: Ph.D in Computer Science, Electrical Engineering, Mechanical Engineering or related streams.

Technical Proficiency:

Experience with generative AI (LLMs, diffusion models, generative architectures)

Experience with agentic AI systems, reinforcement learning, or autonomous systems

Strong programming skills in Python and experience with AI/ML frameworks (PyTorch, TensorFlow)

Experience with LangChain, AutoGPT, Microsoft Autogen, or similar agent frameworks

Proficiency with transformer architectures and fine-tuning techniques

Deep understanding of prompt engineering, reasoning techniques, and LLM capabilities

Experience with RAG systems, vector databases, and knowledge retrieval

Knowledge of reinforcement learning, planning algorithms, and decision-making systems

Familiarity with multi-agent systems and emergent behavior

Ph.D


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