Job Title: Data Engineer

Location:

Atlanta, GA, USA

Company Overview:

Leoforce is the innovative company behind the AI-powered Recruiting Agent that revolutionizes talent discovery and engagement. At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We foster a workplace built on respect, integrity, and the freedom to innovate.

Why Join Us?

• Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.
• Cutting-Edge Technology: Be part of a team working on revolutionary AI solutions that redefine talent acquisition.
• Collaborative Environment: A culture that values diversity, creativity, and high performance.
• Employee Empowerment: Freedom to innovate and make a difference while being supported by a team that values respect and integrity.

Job Description:

We are seeking a skilled Data Engineer to join our dynamic team in Atlanta, GA. The ideal candidate will have a strong background in building and optimizing data pipelines, as well as experience working with large-scale data processing systems.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize and troubleshoot data workflows for performance and reliability.
• Ensure data quality, integrity, and security across all data platforms.
• Implement best practices for data engineering and contribute to continuous improvement initiatives.

Required Skills & Qualifications:

• Proficiency in Python for data engineering tasks.
• Strong experience with SQL for data manipulation and querying.
• Hands-on experience with AWS cloud services (such as S3, Redshift, Lambda, EMR).
• Experience with Apache Spark for large-scale data processing.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.

Preferred Qualifications:

• Experience with additional data tools and frameworks (e.g., Airflow, Kafka).
• Familiarity with data warehousing concepts and big data technologies.
• Prior experience in a fast-paced, innovative environment.

Benefits:

• Competitive compensation and benefits package.
• Opportunities for career advancement and professional development.
• Flexible work environment and supportive team culture.
• Access to cutting-edge technology and resources.

How to Apply:

If you are passionate about data engineering and eager to make an impact in a forward-thinking company, we encourage you to apply!