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Data Engineer IV- 4P/619
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Scorecard
Based on Alabama data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$106,561 / year median in Alabama
+10% projected growth
Job Description
Data Engineer IV
•4P/619 4P Consulting Inc. Birmingham, AL Job Details Full-time 21 hours ago Qualifications Data model design Commercial use (data warehousing systems) Cloud analytics services Software engineering Data visualization software proficiency Data Integration (Data management) Spark Business intelligence report generation Git Schema design SQL ETL process automation Business intelligence tools Cloud solution engineering Data analytics technologies Full Job Description Data Engineer IV
•Modern Enterprise / Lakehouse /
AI-Assisted Experience Level:
5+
Years Work Model:
On-Prem + Cloud Hybrid Environments Location
•Atlanta, GA/ Birmingham, AL. Client
•Georgia Power Position Overview The Data Engineer IV is a modern enterprise data engineering professional responsible for building, optimizing, and maintaining scalable data platforms in a hybrid on-premises and cloud environment. This role supports enterprise analytics, reporting, and AI-driven initiatives using a Lakehouse architecture, with Databricks as the strategic future-state platform. The ideal candidate combines strong SQL and data modeling expertise with modern Spark-based technologies and familiarity with AI-assisted development tools. Core Responsibilities Enterprise Data Engineering Design, build, and maintain batch and/or streaming data pipelines Develop and optimize ETL processes using SSIS or similar tools Work with relational databases, data lakes, and NoSQL systems Normalize and model data using: Star schema Dimensional modeling techniques Transform raw data into curated, reusable datasets Lakehouse & Modern Data Platforms Develop and support solutions on Spark-based platforms Work with Databricks Lakehouse architecture (primary future-state platform) Support analytics and reporting via Power BI Manage data orchestration workflows (e.g., Airflow or equivalent) Implement CI/CD and Git-based workflows for data pipelines AI-Assisted & Modern Engineering Practices Leverage AI tools or copilots to assist with: SQL development Pipeline generation Testing Documentation Explore automation or AI agents to streamline engineering workflows Technical Skills Required Core Technologies Strong SQL and data modeling experience Hands-on experience with: SQL Server SSIS (or similar ETL tools) Power BI Experience with Spark-based platforms Working knowledge of Databricks (preferred strategic platform) Data Engineering Competencies Batch and real-time pipeline development Data quality and validation practices Relational and NoSQL systems Orchestration tools (Airflow or equivalent) CI/CD pipelines Git-based version control Soft Skills & Work Environment Fit Strong written and verbal communication skills Comfortable collaborating with engineers and managers in: Electric utility Operations-heavy domains Able to operate in regulated, production-critical enterprise environments Analytical, detail-oriented, and solution-focused Experience Requirements 5+ years in data engineering or related software engineering roles Experience in enterprise environments with hybrid on-prem and cloud systems