

Sr Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer in Nashville, TN (Hybrid) with a contract length of "unknown". Pay rate is "unknown". Requires 5+ years in AWS (Redshift, Aurora), SQL database management, and modern database technologies. AWS certification is a plus.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
June 5, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Nashville, TN
-
π§ - Skills detailed
#Spark (Apache Spark) #Tableau #SQL (Structured Query Language) #Security #Aurora #AWS DMS (AWS Database Migration Service) #CRM (Customer Relationship Management) #Python #Cloud #Containers #Redshift #Data Lake #Oracle #API (Application Programming Interface) #Monitoring #Hadoop #DMS (Data Migration Service) #S3 (Amazon Simple Storage Service) #DynamoDB #Big Data #Storage #Kafka (Apache Kafka) #Looker #Data Governance #RDS (Amazon Relational Database Service) #Scala #Database Management #Programming #Data Storage #DevOps #PySpark #Athena #Migration #Data Engineering #Compliance #AWS (Amazon Web Services) #Data Pipeline #Database Migration #Lambda (AWS Lambda) #Databases #Data Integration
Role description
Role: Sr Data Engineer
Location: Nashville, TN - Hybrid
Introduction
A Senior Data Engineer will develop, guide design & efforts of new serverless solutions that seamlessly integrate the back-end processing within our Enterprise Systems. To be effective, the applicant must have an in-depth knowledge of design in modern programming languages & web technologies, backend infrastructure & databases, and AWS cloud services.
Required Skills and Experience"
5+ years of AWS experience that includes Redshift and Aurora Postgres
7+ years with SQL database management, performance tuning and stored procedures in the following technologies:
Aurora Postgres
Oracle
Redshift
5+ years troubleshooting and resolving issues in SQL
5+ years of experience with modern database technologies and developing database applications on:
AWS Node JS
Python
Chart JS
Lamda
CloudWatch
3+ Years of AWS Serverless
PySpark
Glue
Step Function
Iceberg / Iceberg API
DynamoDB
5+ years of experience with data integration from various sources (e.g., APIs, databases, streaming platforms) into a centralized enterprise application, data lake or warehouse
2+ years of experience with Cloud Security, DevOps, Containers
2+ years building and managing scalable data storage solutions using AWS services such as S3
2+ years of experience with data storage retrieval, performance, and cost efficiency optimization
2+ years of experience with monitoring data pipelines and infrastructure for performance, reliability, and scalability
Nice to Have Skills and Experience:
AWS Certification
Experience with Oracle PL/SQL programming
Experience with S3, EMR, Lambda, Athena, RDS and Kinesis
Knowledge of data governance compliance and regulatory requirements
Familiarity with big data tools like Hadoop, or Kafka
Experience with CRM/Finance/Accounting systems
Knowledge of dashboards and Dashboard platforms such as AWS QuickSight, Google Looker, Tableau, PowerBI
Experience with AWS Database Migration Service (DMS)
Role: Sr Data Engineer
Location: Nashville, TN - Hybrid
Introduction
A Senior Data Engineer will develop, guide design & efforts of new serverless solutions that seamlessly integrate the back-end processing within our Enterprise Systems. To be effective, the applicant must have an in-depth knowledge of design in modern programming languages & web technologies, backend infrastructure & databases, and AWS cloud services.
Required Skills and Experience"
5+ years of AWS experience that includes Redshift and Aurora Postgres
7+ years with SQL database management, performance tuning and stored procedures in the following technologies:
Aurora Postgres
Oracle
Redshift
5+ years troubleshooting and resolving issues in SQL
5+ years of experience with modern database technologies and developing database applications on:
AWS Node JS
Python
Chart JS
Lamda
CloudWatch
3+ Years of AWS Serverless
PySpark
Glue
Step Function
Iceberg / Iceberg API
DynamoDB
5+ years of experience with data integration from various sources (e.g., APIs, databases, streaming platforms) into a centralized enterprise application, data lake or warehouse
2+ years of experience with Cloud Security, DevOps, Containers
2+ years building and managing scalable data storage solutions using AWS services such as S3
2+ years of experience with data storage retrieval, performance, and cost efficiency optimization
2+ years of experience with monitoring data pipelines and infrastructure for performance, reliability, and scalability
Nice to Have Skills and Experience:
AWS Certification
Experience with Oracle PL/SQL programming
Experience with S3, EMR, Lambda, Athena, RDS and Kinesis
Knowledge of data governance compliance and regulatory requirements
Familiarity with big data tools like Hadoop, or Kafka
Experience with CRM/Finance/Accounting systems
Knowledge of dashboards and Dashboard platforms such as AWS QuickSight, Google Looker, Tableau, PowerBI
Experience with AWS Database Migration Service (DMS)