Job Title: Data EngineerLocation: New York, New York, USACompany: LeoforceAbout Leoforce:Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. Ira 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.Job Overview:We are seeking a talented Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our AI-driven recruiting platform. You will work closely with data scientists, software engineers, and product teams to ensure data quality, integrity, and accessibility.Key Responsibilities:- Design, develop, and maintain robust data pipelines and ETL processes.- Collaborate with cross-functional teams to understand data requirements and deliver solutions.- Optimize data storage, retrieval, and distribution for performance and scalability.- Ensure data quality, consistency, and security across all platforms.- Monitor and troubleshoot data pipeline issues, ensuring high availability and reliability.- Document data workflows, architecture, and best practices.Preferred Qualifications:- Bachelor’s degree in Computer Science, Engineering, or a related field.- Experience with programming languages such as Python, Java, or Scala.- Proficiency in SQL and working with relational and NoSQL databases.- Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).- Familiarity with data warehousing solutions and ETL tools.- Strong problem-solving skills and attention to detail.- Excellent communication and teamwork abilities.Nice to Have:- Experience with machine learning pipelines or AI-driven products.- Knowledge of data governance and compliance best practices.Leoforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.