Data Engineer IV 4P792

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.