Position: SQL DBA (Ref: 18174)
Location: Richmond, VA United States, 23219
Salary: $65.92/hr.
Duration: 6 Months 16 Days - Contract
Openings: 1
Deadline: 03/18/2026
Description:
***Local Candidates
***Hybrid – onsite 2-3 days/week
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.
Responsibilities
• 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.
• 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
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
• 5+ years in Database Administration, Data Engineering, or similar role
• 3+ years of AWS and Snowflake experience
Required / Desired Skills
- On-Prem SQL server to AWS and snowflake source Data Migration experience Required - 5 Years
- Experience migration/archiving databases from on-premises environments to AWS Required - 5 Years
- Experience with Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS) or similar tools Required - 5 Years
- Experience developing Python scripts for data creation, transformation, and data loads Required - 5 Years
- Experience building AWS-based data pipelines using s3, Glue, Lambda Required - 5 Years
- Experience supporting application data environments, Experience with PostgreSQL, SQL Server, Dynamo DB Required - 5 Years
- Hands-on experience in using AWS DB services including S3, RDS, Postgres, DynamoDB, and Snowflake. Required - 5 Years
- Core experience of configuring data management practices on AWS using native services such as AWS Glue, AWS Data Zone, AWS Glue Data Catalog, API Gateway Required - 5 Years
- Familiarity with version control using tools like GitHub, and AWS Code Pipeline Required - 5 Years
- Database Administration, Data Engineering, or similar role (AWS, Snowflake) and SQL server Required - 5 Years