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.