Location - Atlanta, GA 30308 / Birmingham, AL 35203
Contract - 1 Year
Client - Alabama Power
Position OverviewWe are seeking an experienced Data Engineer (Level 3) to build, optimize, and maintain scalable data pipelines and datasets that support business-critical analytics and applications. This role sits outside traditional IT and operates within the business technology/data domain—focused on ensuring clean, structured, and accessible data assets.
The ideal candidate will have deep experience in data transformation, SQL optimization, Data Lakehouse architectures, and distributed processing systems. Proficiency in Databricks, Azure, Spark, Hive, and Airflow is required.
Key ResponsibilitiesData Engineering & Pipeline DevelopmentDesign, build, and maintain scalable and reliable data pipelines
Combine raw data from multiple sources into clean, structured, machine-readable datasets
Implement transformations using Spark, SQL, and ETL/ELT tools
Normalize and model relational and distributed datasets to support analytics & applications
Lakehouse & Cloud EngineeringDevelop and optimize data architectures in Databricks Lakehouse & Azure
Manage ingestion pipelines across structured and unstructured data sources
Apply data governance, quality, and lineage methodologies in cloud environments
Data Modeling & QualityCreate logical and physical data models to support business intelligence, ML, and analytics workloads
Ensure data consistency, accuracy, completeness, and reusability
Establish data quality frameworks, validation checks, and monitoring automation
Experience5–10 years in a Data Engineering role with hands-on development
Strong background in data manipulation & software engineering-oriented data practices
Experience supporting enterprise-scale platforms
Technical SkillsAdvanced SQL (query optimization, stored procedures, tuning)
Databricks & Microsoft Azure Cloud (mandatory)
Spark / Hive / Airflow
Strong data modeling (star, snowflake, third-normal form)
Experience building ETL/ELT pipelines in distributed environments