Experience Level: 5–10 Years Location: Birmingham, AL Contract- 1 Year
Client- Southern Company Services.
Position Overview
The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting.
The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.
Key Responsibilities
Data Engineering & Pipeline Development
Design, develop, test, deploy, and support scalable data pipelines
Create and maintain Databricks pipelines for multiple data sources
Develop batch and real-time data processing solutions
Normalize databases and design schemas aligned with application requirements
Combine and transform raw data into structured, analytics-ready datasets
Data Modeling & Architecture
Design and implement data models (star schema, snowflake, relational, NoSQL)
Implement data access strategies and storage optimization techniques
Develop functional and technical designs for data engineering solutions
Support diverse data source integration and enrichment
Big Data & Cloud Technologies
Develop solutions using Spark, Hive, Hadoop
Build and maintain solutions using Azure ecosystem tools:
Azure Data Lake
Azure Data Factory
Azure Databricks
Azure Synapse
Azure Key Vault
Power BI
Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate
AI/ML & Advanced Analytics Support
Support statistical models and AI/ML solutions using Python and/or R
Prepare data pipelines to enable machine learning workflows
DevOps & Modern Engineering Practices
Implement CI/CD pipelines for data engineering deployments