DATAEXL INFORMATION LLC
AWS Cloud Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Cloud Data Engineer in Richmond, VA, with a 12-month extendable contract. Key skills include AWS, RDS Aurora Postgres, SQL, ETL, DevOps, AWS Glue, and Python. US government clearance is required. Onsite work is expected 4-5 days a week.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 20, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Richmond, VA
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🧠 - Skills detailed
#AWS RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #Python #RDS (Amazon Relational Database Service) #AWS Databases #Aurora #Data Migration #SSIS (SQL Server Integration Services) #Data Engineering #Data Modeling #REST (Representational State Transfer) #Data Governance #Data Quality #SQL (Structured Query Language) #DevOps #SQL Server #Databases #Migration #AWS DMS (AWS Database Migration Service) #Informatica #Oracle #AWS Glue #Cloud #AWS (Amazon Web Services) #MDM (Master Data Management) #DMS (Data Migration Service)
Role description
Position title: AWS Cloud Data Engineer
Location: Richmond, VA
Status: Must be able to get US government clearance
Onsite: 4-5 days a week
Contract: 12 months extendable
Interview process: 1 hour video
Must have: AWS, RDS Aurora Postgres, SQL, ETL, Devops, AWS Glue, Python
Role Notes:
• These teams are responsible for building the databases, ETL processes, and reporting. Other teams are responsible for the data governance and MDM work.
• Gaps: lack of knowledge in cloud (AWS) databases/data processes.
• Legacy Oracle, SQL Server, SSIS, Informatica ETL jobs, stored procedures.
• Migrating databases to RDS Aurora Postgres, heavily using AWS DMS (Data Migration Service)
• ETL jobs being migrated to AWS Glue, Python, some will stay as stored procedures.
• Needs someone strong in SQL--80% of what they do is data loading, data validation, root cause analysis on data quality/completeness issues using SQL. The rest is setting up the ETL and establishing the schemas.
• Will be integrating data from multiple locations to a single holistic dimensional data model.
Skillset:
• AWS data experience
• RDS Aurora Postgres
• SQL-- deep knowledge, loading data, validating, root cause analysis
• Dimensional data modeling
• AWS Glue
• Python
Position title: AWS Cloud Data Engineer
Location: Richmond, VA
Status: Must be able to get US government clearance
Onsite: 4-5 days a week
Contract: 12 months extendable
Interview process: 1 hour video
Must have: AWS, RDS Aurora Postgres, SQL, ETL, Devops, AWS Glue, Python
Role Notes:
• These teams are responsible for building the databases, ETL processes, and reporting. Other teams are responsible for the data governance and MDM work.
• Gaps: lack of knowledge in cloud (AWS) databases/data processes.
• Legacy Oracle, SQL Server, SSIS, Informatica ETL jobs, stored procedures.
• Migrating databases to RDS Aurora Postgres, heavily using AWS DMS (Data Migration Service)
• ETL jobs being migrated to AWS Glue, Python, some will stay as stored procedures.
• Needs someone strong in SQL--80% of what they do is data loading, data validation, root cause analysis on data quality/completeness issues using SQL. The rest is setting up the ETL and establishing the schemas.
• Will be integrating data from multiple locations to a single holistic dimensional data model.
Skillset:
• AWS data experience
• RDS Aurora Postgres
• SQL-- deep knowledge, loading data, validating, root cause analysis
• Dimensional data modeling
• AWS Glue
• Python
