Data Engineer

Job Title: Data Engineer

Location: New Jersey City, NJ, USA

About Leoforce:

Leoforce is the innovative company behind the AI-powered Recruiting Agent that revolutionizes talent discovery and engagement. The Recruiting Agent combines 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 believe in fostering 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.

Position Summary:

We are seeking a skilled Data Engineer to join our dynamic team in New Jersey City, NJ. 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, software engineers, and product teams to deliver high-quality data solutions.
• Optimize data systems for performance, scalability, and reliability.
• Ensure data integrity, security, and compliance with industry standards.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data workflows, architecture, and best practices.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
• Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi).
• Hands-on experience with big data tools (e.g., Hadoop, Spark, Kafka).
• Strong understanding of database systems (relational and NoSQL).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions.
• Excellent problem-solving and communication skills.

Preferred Qualifications:

• Master’s degree in a related field.
• Experience with machine learning pipelines and MLOps.
• Knowledge of data governance and data quality best practices.

Benefits:

• Competitive compensation and benefits package.
• Opportunities for career advancement and professional development.
• Work with cutting-edge AI and data technologies.
• Inclusive, innovative, and collaborative work culture.