Data Engineer IV 4P/792

4P ConsultingAtlanta, GA
Onsite

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

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.
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