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Database Automation Engineer Jobs in New York (NOW HIRING)

ACI Infotech

QA Automation Engineer

Manhattan, NY · On-site

... database validation. • Create automation scripts to integrate into the CI/CD pipeline. • ... developers, business analysts, and QA team members to produce testable requirements and ...

ACI Infotech

QA Automation Engineer

Manhattan, NY · On-site

... database validation. • Create automation scripts to integrate into the CI/CD pipeline. • ... developers, business analysts, and QA team members to produce testable requirements and ...

KE Staffing

QA Automation Engineer

Manhattan, NY · On-site

Experience with SQL and database validation. - Experience using version control systems such as Git ... Build and enhance automation frameworks using industry-standard tools and best practices. Execute ...

Resource Point LLC

AWS Consultant - W2 Only

New York, NY · On-site

Support database automation, monitoring, and observability using AWS-native tools (e.g., CloudWatch, DMS, RDS Performance Insights). * 8+ years of experience in database engineering with at least 3 ...

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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.
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Database Automation Engineer jobs near you
AWS Database Engineer - W2 Position

AWS Database Engineer - W2 Position

Resource Point LLC

New York, NY • On-site

Contractor

Posted 11 days ago

Be an early applicant

Job description

"Looking for W-2 CANDIDATES ONLY, who are authorized to work in the United States without the need for sponsorship. H-1B Transfers AND CORP-TO-CORP Candidates WILL NOT BE CONSIDERED for this position"
 
Role: AWS Database Engineer
Location: NYC, NY
Duration: 12+ Months
  • Design and implement scalable, secure, and highly available database architectures using Amazon Aurora and PostgreSQL.
  • Lead database modernization efforts including migration from legacy systems (e.g., Oracle, SQL Server) to AWS-native services.
  • Collaborate with cloud architects and DevOps teams to integrate database solutions into CI/CD pipelines and infrastructure-as-code frameworks.
  • Optimize query performance, indexing strategies, and storage configurations for high-throughput workloads.
  • Define and enforce database security, backup, and disaster recovery strategies.
  • Support database automation, monitoring, and observability using AWS-native tools (e.g., CloudWatch, DMS, RDS Performance Insights).
  • 8+ years of experience in database engineering with at least 3 years on AWS Aurora and PostgreSQL.
  • Strong understanding of AWS services including RDS, DMS, IAM, CloudFormation, and Lambda.
  • Proven experience in database greenfield deployment and migration projects, especially from on-prem to AWS cloud.
  • Hands-on expertise in performance tuning, query optimization, and troubleshooting.
  • AWS Certified Database – Specialty or AWS Solutions Architect certification.
  • Experience with hybrid cloud environments and multi-region deployments.
  • Exposure to containerized database deployments (e.g., Aurora Serverless, Kubernetes with PostgreSQL).