Data Engineer IV 4P/792

Job Description

Job Description

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.