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Aws Database Jobs (NOW HIRING)

Oracle DBA

Irving, TX · On-site

$48.75 - $66.25/hr

AWS Database Service, MySQL DBA, RedHat Linux Administrator, Windows Server Job Summary Seeking a Specialist with 7+ years of experience in MySQL database administration with experience in Linux ...

Database Engineer

San Mateo, CA · On-site

$77 - $87/hr

Solid experience with AWS database services (RDS, Aurora, Redshift) and infrastructure-as-code (IaC) for managing database resources. * Strong skills in data modeling, schema design, performance ...

Sr. Database Engineer

Irvine, CA · On-site

$113K - $154K/yr

AWS Database Mastery: Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, DynamoDB, Redshift). * Coding & Scripting: Proven mastery of Python and Advanced SQL for automation and ...

Sr. Database Engineer

Irvine, CA · On-site

$113K - $154K/yr

AWS Database Mastery: Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, DynamoDB, Redshift). * Coding & Scripting: Proven mastery of Python and Advanced SQL for automation and ...

Sr. Database Engineer

Irvine, CA · On-site

$113K - $154K/yr

AWS Database Mastery: Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, DynamoDB, Redshift). * Coding & Scripting: Proven mastery of Python and Advanced SQL for automation and ...

Sr. Database Engineer

Irvine, CA · On-site

$113K - $154K/yr

As a key client-facing expert, you will guide our clients away from legacy "babysitting " models toward modern, self-healing, cloud-native database architectures on AWS. What You'll Do • Architect ...

Proficiency in AWS services such as EC2, Route 53, VPC, IAM, and CloudFormation. * Hands-on experience with scripting languages (e.g., Python, Bash) for automation. * Familiarity with database ...

The ideal candidate is a hands-on database professional with a strong foundation in AWS-based infrastructure, Kubernetes automation, and performance optimization. You're detail-oriented ...

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Aws Database information

See salary details

$10

$49

$74

How much do aws database jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for aws database in the United States is $49.16, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $59.13 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AWS Database Engineer, and why are they important?

To thrive as an AWS Database Engineer, you need a solid background in database management, SQL/NoSQL databases, and cloud architecture, often supported by relevant AWS certifications. Familiarity with AWS services like Amazon RDS, DynamoDB, and tools such as CloudWatch and AWS CLI is typically required. Strong problem-solving skills, attention to detail, and effective communication help you optimize database performance and collaborate with cross-functional teams. These skills ensure secure, efficient, and scalable database solutions that align with organizational needs in cloud environments.

What are some common challenges faced by AWS Database Engineers when managing cloud-based databases?

AWS Database Engineers often encounter challenges such as optimizing database performance in a cloud environment, ensuring data security and compliance, and managing costs associated with storage and compute resources. Additionally, they must stay updated with AWS's rapidly evolving database services and best practices. Collaborating closely with development and DevOps teams is crucial, as these roles often require implementing automated backups, monitoring, and disaster recovery solutions to maintain high availability and reliability.

What are AWS Database services?

AWS Database services are a collection of cloud-based managed database solutions provided by Amazon Web Services. These services include a wide range of databases such as Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL), Amazon Aurora, Amazon Redshift (data warehousing), and Amazon DocumentDB, among others. AWS handles routine database tasks like provisioning, patching, backup, recovery, and scaling, allowing businesses to focus on their applications instead of database management. Organizations use AWS Databases for scalable, secure, and high-performance data storage and retrieval in the cloud.

What is the difference between Aws Database vs Cloud Database Administrator?

AspectAws DatabaseCloud Database Administrator
CertificationsAWS Certified Database - Specialty, AWS Certified Solutions ArchitectVendor-specific certifications (e.g., Azure, Google Cloud), general database certifications (e.g., Oracle, Microsoft)
Work EnvironmentPrimarily cloud-based, AWS ecosystem, remote or on-siteCloud environments across various providers, on-site or remote
Industry UsageOrganizations using AWS cloud servicesOrganizations managing cloud databases across providers
Primary FocusDesign, deployment, and management of AWS database servicesManaging and maintaining cloud databases in various platforms

While both roles involve managing cloud-based databases, Aws Database specialists focus specifically on AWS services, whereas Cloud Database Administrators handle databases across multiple cloud platforms. The choice depends on the company's cloud infrastructure and certification preferences.

More about Aws Database jobs
What cities are hiring for Aws Database jobs? Cities with the most Aws Database job openings:
What states have the most Aws Database jobs? States with the most job openings for Aws Database jobs include:
Infographic showing various Aws Database job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $102,260 per year, or $49.2 per hour.

Title: SQL Database Administrator ; Location: Richmond, VA - Hybrid

Interon IT Solutions

Richmond, VA • On-site

Contractor

Posted 24 days ago


Job description

Title: SQL Database Administrator

Location: Richmond, VA

About the role:

We are seeking a Database Administrator / Data Engineer with strong experience in migrating on-premises databases to AWS. The candidate will support data platform modernization by assisting with database migration, Python-based data processing, and building AWS data pipelines supporting applications using Amazon RDS and DynamoDB.

Responsible for supporting SQL Server/Cloud BAU operations. supports production stability and performance monitoring by building operational metrics and dashboards for database performance. Develop data quality and performance dashboards to monitor system efficiency and ensure reliable data for reporting and analytics.

The role requires hands-on experience in database migration, data modeling, and AWS data services.

Must Have Skills (Screening Required):

  • On-Prem SQL server to AWS and snowflake source Data Migration experience
  • Experience migration/archiving databases from on-premises environments to AWS
  • Experience with AWS Database Migration Service (DMS) or similar tools preferred
  • AWS Database Technologies
  • Strong experience with:
  • Amazon RDS
  • DynamoDB
  • Python for Data Processing
  • Experience developing Python scripts for data creation, transformation, and data loads
  • Data Pipeline Development
  • Experience building AWS-based data pipelines
  • Familiarity with services such as:
  • S3, Glue, Lambda
  • Data Modeling
  • Experience designing logical and physical data models
  • Ability to support application teams with schema design

Preferred Skills

  • Experience with AWS Schema Conversion Tool (SCT)and data migration service (DMS)
  • Experience working with large datasets and ETL pipelines
  • Knowledge of data lake architecture
  • Experience with PostgreSQL, SQL Server, Dynamo Db
  • Experience supporting application data environments

Experience Required

  • 8+ years in Database Administration, Data Engineering, or similar role
  • 5+ years of AWS and Snowflake experience

Responsibilities:

  • Support migration of on-prem databases to AWS
  • Develop Python scripts for data generation and bulk loads
  • Build and maintain AWS-based data pipelines
  • Design and support data models
  • Support application teams using RDS and DynamoDB
  • Assist with data validation, migration testing, and performance tuning

Required/Desired Skills:

  • On-Prem SQL server to AWS and snowflake source Data Migration experience
  • Experience migration/archiving databases from on-premises environments to AWS
  • Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools preferred
  • Experience developing Python scripts for data creation, transformation, and data loads
  • Experience building AWS-based data pipelines using s3, Glue, Lambda
  • Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo Db
  • Hands on experience in using AWS DB services including S3, RDS, Postgres, DynamoDB, and Snowflake.
  • Core experience of configure data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway
  • Familiarity with version control using tools like Github, and AWS Code Pipeline
  • 8+ years in Database Administration, Data Engineering, or similar role (AWS, Snowflake) and SQL server