Data Engineer

Data Engineer

Location: New York City, NY, USA
Company: Leoforce

About Leoforce

Leoforce is the innovative company behind the AI-powered Recruiting Agent that revolutionizes talent discovery and engagement. We combine advanced AI and Talent Intelligence to help recruiters find highly compatible candidates, reducing time-to-hire and ensuring success for every role.

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.

Position Overview

We are seeking a skilled Data Engineer to join our dynamic team in New York City. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our AI-driven recruiting solutions.

Key Responsibilities

• Design, develop, and maintain robust data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and software engineers to deliver high-quality data solutions.
• Optimize data systems for performance, scalability, and reliability.
• Ensure data integrity, security, and compliance with best practices.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, architecture, and processes.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proficiency in programming languages such as Python or Java.
• Strong experience with SQL and relational databases.
• Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP).
• Familiarity with big data tools such as Spark, Hadoop, or Kafka.
• Experience with data modeling, warehousing, and ETL development.
• Excellent problem-solving and communication skills.

Why Join Leoforce?

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

How to Apply

If you are passionate about data engineering and eager to make an impact in the AI and recruiting space, we encourage you to apply!