Data Engineer III 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 Work within Agile development environments Utilize containerization tools (Docker, OpenShift) Develop API and web service integrations for data sourcing and delivery Data Quality & Governance Implement and maintain data quality frameworks and tools Ensure consistency, accuracy, and reliability of data assets Required Qualifications 5-10 years of hands-on data engineering experience Advanced SQL expertise Strong experience with Spark, Hive, Hadoop Hands-on experience with Azure cloud data tools Experience building Databricks pipelines Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server Experience with batch and real-time data processing frameworks Experience with data modeling and schema design Experience working with APIs and web services Preferred Qualifications Experience supporting AI/ML workflows Experience with containerization (Docker, OpenShift) Strong background in DevOps and CI/CD practices Experience working in enterprise-scale environments