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Data Engineer 4 - DENG4
Job Description
Location: Atlanta, GA 30308 –Hybrid
Duration: September 14, 2026 –October 31, 2027
Pay Rate: $72/hr - $77.14/hr
Shift Timings: 1st shift
Job Description
We are seeking an experienced Data Engineer 4 to support Southern Company’s Analytics and Innovation team. The ideal candidate will have 10+ years of experience manipulating and engineering data in a software engineering environment, with strong expertise in SQL, data modeling, database technologies, and modern data engineering tools.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and data engineering solutions.
- Manipulate and transform data from multiple sources into consistent, machine-readable formats.
- Develop datasets that support business, analytical, and application requirements.
- Work with relational databases, NoSQL systems, and data lakes.
- Normalize databases and ensure data structures meet application requirements.
- Perform data modeling, database design, and schema development.
- Integrate raw data from diverse sources and create reliable, reusable datasets.
- Develop and optimize data processing solutions using Spark, Hive, and Airflow.
- Write complex and optimized SQL queries for data transformation and analysis.
- Collaborate with software engineers, analysts, and business stakeholders to understand data requirements.
- Ensure data quality, consistency, scalability, and accessibility.
- Troubleshoot data pipelines and resolve data-related technical issues.
- Follow established software engineering and data governance standards.
- 10+ years of professional experience in data engineering/software engineering with significant data manipulation experience.
- Advanced SQL skills.
- Strong knowledge of data modeling and database design.
- Experience with relational databases and NoSQL technologies.
- Experience working with data lakes and large-scale datasets.
- Hands-on experience with Apache Spark.
- Hands-on experience with Hive.
- Hands-on experience with Airflow.
- Strong understanding of ETL/ELT processes and data integration.
- Experience normalizing databases and designing efficient data structures.
- Ability to combine and transform data from multiple sources.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field is preferred.
- Equivalent combination of education and extensive relevant professional experience may be considered.
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CEO, LanceSoft
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