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Database Automation Engineer Jobs in Miami, FL (NOW HIRING)

Senior AI Engineer - SFL Scientific

Miami, FL · On-site

$99K - $137K/yr

... learning & automation applications • Leverage advanced technical skills in modern data ... Puppet, Ansible, Chef, Airflow, Terraform, Jenkins • 2+ years of experience with database ...

We are looking for: * 4+ years of experience in Software Engineering, AI Integrations, Automation ... Supabase for database management, authentication, and backend services * Experience building AI ...

We are looking for: * 4+ years of experience in Software Engineering, AI Integrations, Automation ... Supabase for database management, authentication, and backend services * Experience building AI ...

Hands-on experience with AI tooling, automation, and integrating AI/ML tools and large language ... Flask, FastAPI), database management (SQL/NoSQL), and version control using Git. Best Regards ...

You'll work with modern AI and automation tools such as OpenAI , Anthropic Claude , LangChain ... Architect and develop scalable backend solutions using Node.js, integrating APIs, databases, and ...

Site Reliability Engineer II

Plantation, FL · On-site

$56.50 - $75.25/hr

Develop automation scripts and operational tools using one or more of the following: * Python ... Working knowledge of SQL, MySQL, or NoSQL databases. * Ability to work effectively in high-volume ...

You'll work with modern AI and automation tools such as OpenAI , Anthropic Claude , LangChain ... Architect and develop scalable backend solutions using Node.js, integrating APIs, databases, and ...

Through automation, transparency, and continuous improvement, we ensure data flows with integrity ... Basic Qualifications -8+ years of experience handling database development, BI development, ETL ...

Software Engineer

Miami, FL · On-site +1

$128K - $184K/yr

... and databases. * Deploy and manage workloads on Kubernetes using Helm and GitOps (ArgoCD or ... Write operational tooling and automation (Go, Python, and/or Bash) for tasks like auditing, lease ...

Our technology combines AI, data, and automation to power everything from intelligent vehicle ... Proven experience with Large Language Models, RAG, fine-tuning, embeddings, and vector databases.

Performance-tune graph database queries, indexing strategies, and data access patterns. * Own ... Minimum 3 years Proficiency in Python or Java for automation, integration, and service development ...

New

AI Engineer

Fort Lauderdale, FL · On-site

$60 - $110/hr

Automation * Error reduction * Cycle-time improvement * Knowledge capture and documentation * Make ... Enterprise data (files, databases, structured/unstructured data) * Document processing or data ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Database Infrastructure & Reliability * Build, optimize, and maintain data models and schemas ... Experience with Python or another scripting language for data transformation and automation tasks.

Showing results 41-60

Database Automation Engineer information

See Miami, FL salary details

$35.4K

$102.5K

$155.9K

How much do database automation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for database automation engineer in Miami, FL is $102,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $118,100.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Database Automation Engineer jobs in Miami, FL? For Database Automation Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Database Automation Engineer jobs in Miami, FL look for? The top searched job categories for Database Automation Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Database Automation Engineer jobs? Cities near Miami, FL with the most Database Automation Engineer job openings:
Infographic showing various Database Automation Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $102,460 per year, or $49.3 per hour.

Senior AI Engineer - SFL Scientific

Deloitte

Miami, FL • On-site

$99K - $137K/yr

Full-time

Re-posted 12 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Job Summary:
Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a Deloitte Business. In this role, you will develop AI infrastructure and deployment services, collaborating with cross-functional teams to design and implement scalable data architecture solutions for machine learning applications.
Responsibilities:
• Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
• Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
• Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
• Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
• Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
• Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
• Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
• Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
• Mentor, motivate, and coach junior members on technical best practices and inspire professional development
Qualifications:
Required:
• Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
• 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
• 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
• 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
• 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
• 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
• 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
• 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
• AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
• 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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