Job Description

Data Engineer III

Experience Level: 5–10 Years
Location: Birmingham, AL
Contract- 1 Year

Client- Southern Company Services.

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