Location - Atlanta GA 30308 / Birmingham AL 35203
Contract - 1 Year
Client - Alabama Power
Position Overview We 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 Responsibilities Data Engineering & Pipeline Development -
Design 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 Engineering -
Develop 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 & Quality -
Create 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
Experience -
5 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 Skills -
Advanced 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
Location - Atlanta GA 30308 / Birmingham AL 35203 Contract - 1 Year Client - Alabama Power Position Overview We 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 ro...
Location - Atlanta GA 30308 / Birmingham AL 35203
Contract - 1 Year
Client - Alabama Power
Position Overview We 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 Responsibilities Data Engineering & Pipeline Development -
Design 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 Engineering -
Develop 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 & Quality -
Create 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
Experience -
5 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 Skills -
Advanced 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
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