Data Engineer IV 4P/792

Position: Data Engineer IV

Location:Atlanta, GA

Duration: 6 Months
Client:Southern Company Services

Southern Company Services is seeking an experienced Data Engineer IV to design, build, and support scalable data pipelines, integrations, and cloud-based data solutions.

This role is focused on data engineering in a software development environment, including ETL/ELT pipelines, APIs, event-driven integrations, microservices, and enterprise system connectivity.

Key Responsibilities

• Design, develop, and maintain ETL and ELT data pipelines.
• Build integrations using RESTful APIs, microservices, and event-driven architectures.
• Develop cloud-based data solutions using Azure, AWS, or Google Cloud Platform.
• Integrate data across ERP, CRM, LIMS, ITSM, collaboration platforms, and custom applications.
• Develop reusable data services, APIs, integration components, and automation solutions.
• Write and optimize Python and SQL code for data processing and transformation.
• Support modern data architectures, cloud platforms, and enterprise integration patterns.
• Apply data governance, security, authentication, and access-control standards.
• Troubleshoot data quality, performance, integration, and production issues.
• Collaborate with application teams, architects, data engineers, security teams, and business stakeholders.
• Create technical documentation, data mappings, interface specifications, and operational procedures.

Required Qualifications

• 5+ years of experience in data engineering, software engineering, or systems integration.
• Strong experience developing ETL/ELT pipelines.
• Proficiency in Python and SQL.
• Experience designing and consuming RESTful APIs.
• Experience with event-driven integrations, microservices, and integration tools.
• Knowledge of Azure, AWS, or Google Cloud Platform.
• Experience integrating enterprise applications and data systems.
• Understanding of data governance, cybersecurity, authentication, and access control.
• Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with AI/ML platforms, agent frameworks, vector databases, and retrieval-based architectures.
• Experience with Databricks, data lakes, lakehouse platforms, or cloud data warehouses.
• Familiarity with CI/CD, containers, orchestration, and DevOps practices.
• Utility, energy, or regulated-industry experience is preferred.