

TalentBurst, an Inc 5000 company
SQL Database Administrator
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SQL Database Administrator in Richmond, VA (Hybrid), lasting until July 31, with potential extension. Requires 5 years in Database Administration/Data Engineering and 3 years of AWS/Snowflake experience, focusing on database migration and data pipeline development.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 13, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Richmond, VA
-
🧠 - Skills detailed
#RDS (Amazon Relational Database Service) #API (Application Programming Interface) #SQL Server #AWS (Amazon Web Services) #Data Catalog #Data Processing #Data Management #AWS DMS (AWS Database Migration Service) #Migration #SQL (Structured Query Language) #AWS SCT (AWS Schema Conversion Tool) #"ETL (Extract #Transform #Load)" #Database Performance #GitHub #Data Modeling #Data Engineering #DynamoDB #AWS Glue #AWS Migration #S3 (Amazon Simple Storage Service) #Snowflake #PostgreSQL #Lambda (AWS Lambda) #Data Lake #Data Quality #Physical Data Model #Python #Data Migration #Database Administration #Datasets #Cloud #Monitoring #Amazon RDS (Amazon Relational Database Service) #Database Migration #Version Control #Databases #Schema Design #Data Pipeline #DBA (Database Administrator) #DMS (Data Migration Service)
Role description
Job Title : SQL Database Administrator
Location:- Richmond VA (Hybrid)
Duration: Currently, until July 31 but with possibility of extension if needed
ON SITE: 2-3 days a week ON SITE and then as requested by Mgr.
Role: Database Administrator / Data Engineer - AWS Migration
Must Have 5 years in Database Administration, Data Engineering, or similar role
• 3 years of AWS and Snowflake experience
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)
1. 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
2. AWS Database Technologies
• Strong experience with:
• Amazon RDS
• DynamoDB
3. Python for Data Processing
• Experience developing Python scripts for data creation, transformation, and data loads
4. Data Pipeline Development
• Experience building AWS-based data pipelines
• Familiarity with services such as:
• S3, Glue, Lambda
5. 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
• 5 years in Database Administration, Data Engineering, or similar role
• 3 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
Skills: SkillRequired / DesiredAmountof ExperienceExpertise RatingMove On-Prem SQL server to AWS and snowflake source Data Migration experienceRequired5Years Experience migration/archiving databases from on-premises environments to AWSRequired5Years Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools preferredRequired5Years Experience developing Python scripts for data creation, transformation, and data loadsRequired5Years Experience building AWS-based data pipelines using s3, Glue, LambdaRequired5Years Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo DbRequired5Years Hands on experience in using AWS db services including S3, RDS, postgres, DynamoDB, and Snowflake.Required5Years Core experience of configure data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog,API GatewayRequired5Years Familiarity with version control using tools like Github, and AWS Code PipelineRequired5Years 5 years in Database Administration, Data Engineering, or similar role (AWS, Snowflake) and Sql serverRequired5Years
#TB\_EN
Job Title : SQL Database Administrator
Location:- Richmond VA (Hybrid)
Duration: Currently, until July 31 but with possibility of extension if needed
ON SITE: 2-3 days a week ON SITE and then as requested by Mgr.
Role: Database Administrator / Data Engineer - AWS Migration
Must Have 5 years in Database Administration, Data Engineering, or similar role
• 3 years of AWS and Snowflake experience
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)
1. 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
2. AWS Database Technologies
• Strong experience with:
• Amazon RDS
• DynamoDB
3. Python for Data Processing
• Experience developing Python scripts for data creation, transformation, and data loads
4. Data Pipeline Development
• Experience building AWS-based data pipelines
• Familiarity with services such as:
• S3, Glue, Lambda
5. 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
• 5 years in Database Administration, Data Engineering, or similar role
• 3 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
Skills: SkillRequired / DesiredAmountof ExperienceExpertise RatingMove On-Prem SQL server to AWS and snowflake source Data Migration experienceRequired5Years Experience migration/archiving databases from on-premises environments to AWSRequired5Years Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools preferredRequired5Years Experience developing Python scripts for data creation, transformation, and data loadsRequired5Years Experience building AWS-based data pipelines using s3, Glue, LambdaRequired5Years Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo DbRequired5Years Hands on experience in using AWS db services including S3, RDS, postgres, DynamoDB, and Snowflake.Required5Years Core experience of configure data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog,API GatewayRequired5Years Familiarity with version control using tools like Github, and AWS Code PipelineRequired5Years 5 years in Database Administration, Data Engineering, or similar role (AWS, Snowflake) and Sql serverRequired5Years
#TB\_EN






