Job Title: Data Engineer
Location: Onsite – New York, NY, USA

About Us:
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 foster a workplace built on respect, integrity, and the freedom to innovate.

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: 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.

Position Overview:
We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience in designing, building, and maintaining scalable data pipelines and infrastructure. You will collaborate with cross-functional teams to ensure data availability, quality, and reliability for analytics and business intelligence.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines and ETL processes.
• Work with large datasets to ensure data integrity, quality, and security.
• Collaborate with data scientists, analysts, and other engineers to deliver data solutions.
• Optimize data workflows for performance and scalability.
• Implement best practices for data management and governance.

Required Skills & Qualifications:

• Proficiency in Python and SQL for data manipulation and pipeline development.
• Experience with AWS cloud services (e.g., S3, Redshift, Lambda, Glue).
• Hands-on experience with Apache Spark for big data processing.
• Strong understanding of data modeling, warehousing, and ETL concepts.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with additional data tools (e.g., Airflow, Kafka, Snowflake) is a plus.
• Familiarity with CI/CD and DevOps practices for data engineering.

Work Arrangement:
This is a full-time, onsite position based in New York, NY.

Benefits:

• Competitive salary and benefits package
• Opportunities for career advancement
• Collaborative and innovative work environment
• Access to cutting-edge technology and tools

How to Apply:
If you are passionate about data engineering and eager to make an impact in a fast-growing company, we encourage you to apply!