Data Engineer 4 - DENG4

LanceSoft Inc

Atlanta, GA
8 days ago

$70–$77.14 Per Hour

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–$77.14 Per Hour
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: 1^st 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.

Required Skills

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.

Education Required

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.