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Db Systems Jobs (NOW HIRING)

DB Migration Expert Location: Phoenix AZ (ONSITE) Duration: 06 Months Start Date: ASAP Implementation: Infosys Minimum work experience: 10-12 Years Job Details: Must Have Skills: On-prem to GCP JD:

Database Administrator 3

Nashville, TN · On-site

$49 - $66.75/hr

Cloud & Hybrid Architecture Design and manage Oracle deployments in OCI (Autonomous DB, Exadata Cloud Service, DB Systems). Support Oracle databases running in AWS (EC2-hosted Oracle, RDS Oracle ...

Mongo DB Developer Location: Plano, TX Duration: Full-Time 7 to 10 years of application programming ... Distributed systems and virtualization experience. Deep understanding of NoSQL Database and Big ...

Cloud Hybrid Architecture Design and manage Oracle deployments in OCI (Autonomous DB, Exadata Cloud Service, DB Systems). Support Oracle databases running in AWS (EC2-hosted Oracle, RDS Oracle where ...

Cloud & Hybrid Architecture Design and manage Oracle deployments in OCI (Autonomous DB, Exadata Cloud Service, DB Systems). Support Oracle databases running in AWS (EC2-hosted Oracle, RDS Oracle ...

... engineering, systems development, testing, integration, and implementation, and management ... Good knowledge on data reads and writes and handle real time data flow to Mongo db is required,

PSI DB to Single Instance (ARDA)

Manhattan, NY · On-site

$116K - $158K/yr

PSI DB to Single Instance (ARDA) Location : On-site NY office (Madison Ave.) Senior Developer will ... and system design Documentation and technical review experience Strong communication and ...

Oracle DBA II

Atlanta, GA · On-site

$49.75 - $67.75/hr

Experience with provisioning and managing databases on AWS RDS, EC2-hosted Oracle, and OCI DB Systems/Autonomous Databases. * Implement security controls including roles, privileges, auditing ...

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Db Systems information

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$46K

$102.1K

$153K

How much do db systems jobs pay per year?

As of Jul 5, 2026, the average yearly pay for db systems in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What are Db Systems?

Db Systems, short for Database Systems, are organized collections of data and the software tools used to manage, store, retrieve, and manipulate that data efficiently. These systems allow users and applications to interact with data in a structured way, supporting operations such as querying, updating, and administration. Db Systems can range from small, single-user databases to large, enterprise-level solutions that support thousands of users and vast amounts of data. They are essential in various industries for managing information securely and reliably.

What are some common challenges faced by professionals working in DB Systems roles, and how can they be managed effectively?

Professionals in DB Systems roles often encounter challenges such as maintaining database performance as data volume grows, ensuring data security, and managing system downtime or failures. Effective strategies include proactively monitoring system health, regularly updating and patching database software, and implementing robust backup and disaster recovery plans. Collaborating closely with application developers and IT support teams also helps address issues quickly and maintain smooth operations. Continuous learning and staying updated with new database technologies can further enhance problem-solving capabilities.

What are the key skills and qualifications needed to thrive as a Database Systems (DB Systems) professional, and why are they important?

To thrive as a Database Systems professional, you need strong skills in database design, SQL, data modeling, and a relevant degree in computer science or information technology. Proficiency with database management systems such as Oracle, Microsoft SQL Server, MySQL, and familiarity with backup, recovery, and security tools is typically required, along with certifications like Oracle Certified Professional or Microsoft Certified: Azure Database Administrator Associate. Analytical thinking, problem-solving abilities, and effective communication are important soft skills for diagnosing issues and collaborating with cross-functional teams. These skills and qualities ensure data integrity, system reliability, and efficient support of business operations.

What is the difference between Db Systems vs Database Administrator?

AspectDb SystemsDatabase Administrator
CertificationsTypically requires certifications like Microsoft Certified: Azure Database Administrator Associate or Oracle Database certificationsOften holds certifications such as Oracle DBA, Microsoft Certified: SQL Server Database Administrator
Work EnvironmentFocuses on designing, implementing, and managing database systems, often in IT or software development teamsManages day-to-day database operations, maintenance, and security within organizations
Industry UsageUsed across tech, finance, healthcare, and any industry relying on database systemsCommonly employed in organizations with large data management needs

Db Systems professionals focus on designing and implementing database solutions, while Database Administrators handle ongoing management and maintenance. Both roles require similar certifications and are integral to data management in various industries.

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What states have the most Db Systems jobs? States with the most job openings for Db Systems jobs include:

Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j

Saransh Inc

Dallas, TX • On-site

$121K - $159K/yr

Contractor

Posted 16 days ago


Job description

Role: Sr. GenAI Engineer with Graph DB, Vector DB, Neo4j & RAG
Location: Dallas, TX (3 days a week onsite is required)
Job Type: Contract
 
Experience Required: 10+ years
 
Required Skills:
Strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies.
About the Role:
  • One of the finance clients is seeking a Sr Gen AI Engineer(10+ years of exp.) with strong expertise in knowledge graph, Graph DB, Vector DB, Neo4j, RAG, and similar technologies.
  • This engineer will design and implement data infrastructure that enables efficient fine-tuning and deployment of large language models (LLMs) on client servers for low-latency inference.
  • The role demands a hands-on technologist who can architect, build, and optimize data systems serving enterprise-grade AI use cases.
 
Key Responsibilities:
  • Design and implement GraphDB and VectorDB solutions to store, query, and retrieve structured and unstructured financial data.
  • Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows.
  • Set up scalable data pipelines for model training, embedding generation, and data preprocessing
  • Collaborate with AI researchers and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary LLMs.
  • Deploy and optimize model hosting for fast inference on on-prem or cloud GPU servers.
  • • Ensure data governance, lineage and compliance with internal and regulatory standards.