Job Description
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