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Database Automation Engineer Jobs in Georgia (NOW HIRING)

Impiricus

QA Automation Engineer

Atlanta, GA · On-site +1

$110K - $130K/yr

Job Title: QA Automation Engineer Location: Atlanta, GA | Remote, USA Employment Type: Full-time, ... Basic SQL skills for database validation and troubleshooting. * Proven ability to work in a fast ...

Impiricus

QA Automation Engineer

Atlanta, GA

$110K - $130K/yr

Job Title: QA Automation Engineer Location: Atlanta, GA | Remote, USA Employment Type: Full-time, ... Basic SQL skills for database validation and troubleshooting. * Proven ability to work in a fast ...

Kennesaw State University

Lead Automation Engineer

Kennesaw, GA · On-site

$94K - $124K/yr

... databases, cloud platforms, and on-premises systems using APIs, events, messaging, and file-based ... A Developer, MuleSoft Certified Integration Architect, Boomi Certification Preferred Educational ...

BASF Corporation

Privacy policy

Savannah, GA

$17.75 - $23.50/hr

Lab Technician I LOCATION Savannah, GA, USA, 31404 COMPANY BASF Corporation JOB FIELD Other JOB TYPE Other JOB ID 133443 FLEXIBLE WORK OPTIONS On-site Now hiring! Lab Technician I Savannah, GA. We ...

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Database Automation Engineer information

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 are Database Automation Engineers?

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, and why are they important?

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 are popular job titles related to Database Automation Engineer jobs in Georgia? For Database Automation Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Database Automation Engineer jobs in Georgia look for? The top searched job categories for Database Automation Engineer jobs in Georgia are:
What cities in Georgia are hiring for Database Automation Engineer jobs? Cities in Georgia with the most Database Automation Engineer job openings:
Database Automation Engineer jobs near you
Engineer, Storage Engineering

Engineer, Storage Engineering

Intercontinental Exchange Holdings, Inc.

Atlanta, GA • On-site

Full-time

Posted 26 days ago

Job description

Overview
Job Purpose
We are seeking a highly technical Automation Engineer with deep expertise in Python, Ansible, and n8n, capable of architecting automation at scale across enterprise storage and backup environments. The ideal candidate blends systems engineering with software engineering, comfortable writing production-grade automation, integrating REST APIs, deploying Infrastructure-as-Code (IaC), and building orchestrated workflows to eliminate manual operations.
This role requires someone who can think like a developer, automate like a DevOps engineer, and is comfortable with storage and backup engineering.
Responsibilities
  • Python Automation & Engineering
    • Design and develop enterprise-grade Python automation frameworks, modules, and reusable libraries for storage and backup provisioning, lifecycle management, telemetry ingestion, and API integrations.
    • Integrate Python with REST APIs exposed by storage vendors, monitoring tools, CMDBs, and internal services.
    • Perform complex data analytics and transformation logic to drive intelligent automation decisions.
  • Ansible Automation
    • Architect and maintain Ansible automation for configuration management, provisioning, compliance, and change execution.
    • Build Ansible collections, modules, roles, dynamic inventories, and reusable playbooks specifically for enterprise storage and SAN infrastructures.
    • Integrate Ansible with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
    • Apply Ansible best practices such as idempotency, YAML structuring, and Ansible-lint compliance.
  • N8N Workflow Orchestration
    • Architect advanced n8n automation pipelines that connect APIs, databases, webhooks, and storage platforms.
    • Build multi-step workflows for alert enrichment, automated responses, ticketing integration, and data orchestration.
    • Implement error-handling, retries, conditional branches, and webhook-driven flows.
    • Integrate n8n with Python scripts, REST endpoints, and event-driven triggers.
    • Optimize workflow performance, scalability, modularity, and maintainability.
  • Automation & Infrastructure Engineering
    • Build automation pipelines across provisioning, monitoring, compliance, reporting, and remediation workflows.
    • Implement full lifecycle orchestration for block, file, and object storage platforms.
    • Develop infrastructure-as-code for storage-related tasks where feasible (Ansible, Terraform, native vendor APIs).
    • Automate operational tasks including host registration, zoning, data collection, capacity forecasting, and system health checks.
    • Develop self-healing automation using event-driven triggers and AI-based decision engines.
  • DevOps, Tooling, and Software Engineering
    • Use Git, branching strategies, PR workflows, and code reviews to maintain clean, stable, production-ready automation repositories.
    • Integrate automation components with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
    • Build automated test harnesses for scripts, APIs, and workflows using pytest or similar frameworks.
    • Maintain end-to-end observability using logging, metrics, dashboards, and alerting.
  • AI and Intelligent Automation
    • Integrate LLM-based tools to generate, validate, or optimize code and configuration.
    • Build AI-assisted anomaly detection using log or telemetry data.
    • Develop AI-augmented workflows in n8n or Python for intelligent alerting and decision-making.
    • Experience with agent frameworks, embeddings, or vector databases is a plus.
  • Data, Visualization & Analytics
    • Strong SQL skills for automation involving databases or CMDBs.
    • Experience with Grafana, Tableau, or similar tools to generate automated dashboards.
    • Ability to create pipelines that continually ingest, normalize, and present storage telemetry data.

Knowledge and Experience
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with cloud storage platforms (AWS S3, Azure Blob, GCP Storage).
  • Experience with Infrastructure-as-Code for storage automation.
  • Background in workflow engines such as Rundeck.

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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