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Database Automation Engineer Jobs in Richburg, SC

Snowflake Data Engineer - DBT

Fort Mill, SC · On-site

$100K - $120K/yr

... automation tasks Key Responsibilities * Design develop and maintain data pipelines and ETL ... Strong knowledge of SQL and database management * Familiarity with data warehousing concepts and ...

Develop new applications, forms, workflows, dashboards, and automation solutions within ETQ. * Lead ... with programming, database development, administration. Experience with ETQ/Octave Reliance ...

Develop new applications, forms, workflows, dashboards, and automation solutions within ETQ. * Lead ... with programming, database development, administration. Experience with ETQ/Octave Reliance ...

GenAI Product Engineering Lead

Rock Hill, SC · On-site

$85K - $112K/yr

Design and implement advanced GenAI solutions, including agent-based systems for automation ... Database Management: Design and manage data models and interact with both relational (SQL) and ...

Principal Software Dev

Fort Mill, SC · On-site +1

$175K - $293K/yr

Do you thrive at the intersection of data engineering, architecture, and business transformation ... Work with relational databases (RDS/Postgres/SQL Server) for data modeling, transformation, and ...

... Developer . This role is essential to accelerating our transformation from reactive IT support ... B alignment, incident enrichment, workflow triggers, and automation orchestration) • Build ...

Solid understanding of relational and NoSQL databases (PostgreSQL, DynamoDB). * Hands-on experience ... Basic knowledge of Terraform for infrastructure automation. * Experience with Agile Scrum ...

API & Data Engineer II

Fort Mill, SC · On-site

$40.10 - $66.83/hr

Solid understanding of relational and NoSQL databases (PostgreSQL, DynamoDB). * Hands-on experience ... Basic knowledge of Terraform for infrastructure automation. * Experience with Agile Scrum ...

Showing results 41-60

Database Automation Engineer information

See Richburg, SC salary details

$34.1K

$98.6K

$150K

How much do database automation engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for database automation engineer in Richburg, SC is $98,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $113,700.00 per year, depending on experience, location, and employer.

What is a database automation engineer?

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?

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 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 cities near Richburg, SC are hiring for Database Automation Engineer jobs?

Cities near Richburg, SC with the most Database Automation Engineer job openings:

Senior Copilot & Azure AI Foundry Engineer

Hearst

Charlotte, NC • On-site

$117K - $161K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago


Hearst rating

6.8

Company rating: 6.8 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

51st of 78 rated media


Job description


Hearst Television (HTV) is hiring a Senior Copilot & Azure AI Foundry Engineer to lead the build of our next-generation platform. You will be instrumental in designing, building, stabilizing, and scaling enterprise-grade AI solutions using Microsoft's Azure AI ecosystem. As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our Copilot Studio agents, ensuring they are scalable, accurate, maintainable, and aligned with modern Azure AI best practices. This role is central to our mission of transforming media sales through prescriptive, actionable intelligence. This position does not provide sponsorship.
What You'll Do
• Copilot Optimization: Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability.
• Generative AI Modernization: Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches.
• Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints.
• Sophisticated AI Features: Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions.
• End-to-End MLOps: Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security.
• Architectural Leadership: Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff.
• Operational Enablement: Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks.
Requirements
• Experience: 8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions.
• AI Ecosystem: Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio).
• Technical Proficiency: Expert-level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred.
• AI Specialization: Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases.
• MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.
• Problem Solving: Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets.
• Soft Skills: Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements.
Values in Action
At Hearst Television we tell stories every day. Stories about people of all backgrounds, perspectives, and identities. That's why, behind the scenes, we believe in being an organization that fosters collaboration and open communication, ensuring that the content we create is authentic, accurate, and connected to the communities we serve.
Benefits
Hearst's benefit programs are modern, flexible and designed to focus on you. As a Hearst employee, you and your spouse or partner or dependents would have access to the following benefits:
• Medical | Dental | Vision
• 401(k) matching
• Emotional Wellness Support
• Paid Time Off & Parental Leave
• LGBTQ+ Health Services

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