Highlights
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. Education Required Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field is preferred.
Numbers & Facts
| Location | Atlanta, GA |
| Industry | Staffing/Employment Agencies |
| Salary | $70 |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
Description
Job Title: Data Engineer 4 –DENG4
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
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.
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
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