Job Title: Data EngineerLocation: St. Louis, Missouri, USA (within 50 miles)Company: 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.Position Overview:We are seeking a skilled Data Engineer to join our dynamic team in St. Louis, Missouri. The ideal candidate will have a strong background in data engineering, with expertise in SQL, Python, data analysis, and machine learning. You will play a key role in designing, building, and maintaining scalable data pipelines and infrastructure to support our AI-driven products and business insights.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.- Implement best practices for data governance, security, and compliance.- Analyze large, complex datasets to extract actionable insights and support business objectives.- Troubleshoot and resolve data-related issues in a timely manner.- Stay current with emerging technologies and industry trends in data engineering and analytics.Required Qualifications:- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.- 2+ years of experience in data engineering or a similar role.- Proficiency in SQL and Python.- Experience with data analysis and machine learning concepts.- Familiarity with cloud platforms (AWS, Azure, or GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.- Strong problem-solving skills and attention to detail.- Excellent communication and teamwork abilities.Preferred Qualifications:- Experience in Information Technology, Computer Software, Healthcare, or Research industries.- Relevant certifications (e.g., AWS Certified Solutions Architect, Data Science certifications).- Knowledge of data governance, security, and compliance best practices.Benefits:- Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance.- 401(k) retirement plan with company match.- Generous paid time off and flexible work arrangements.- Opportunities for professional development and career advancement.- Collaborative, innovative, and inclusive work environment.How to Apply:If you are passionate about data engineering and want to make an impact in a fast-growing AI company, we’d love to hear from you! Please submit your resume and a brief cover letter outlining your relevant experience.