Job Title: Data EngineerLocation: United States (Remote or Onsite options available)About 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 Summary:We are seeking a skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in building and optimizing data pipelines, ensuring data quality, and supporting data-driven decision-making across the organization.Key Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes.- Collaborate with data scientists, analysts, and software engineers to deliver high-quality data solutions.- Optimize and troubleshoot data workflows for performance and reliability.- Implement data quality, validation, and governance best practices.- Integrate data from various sources, including APIs, databases, and third-party platforms.- Document data processes, architecture, and workflows.Required Qualifications:- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.- 2+ years of experience in data engineering or a similar role.- Proficiency in SQL and Python for data manipulation and analysis.- Experience with data pipeline and workflow management tools (e.g., Airflow, Luigi).- Familiarity with cloud platforms (AWS, GCP, or Azure) and big data technologies (e.g., Spark, Hadoop).- Strong problem-solving skills and attention to detail.- Excellent communication and teamwork abilities.Preferred Qualifications:- Experience with machine learning pipelines and data science workflows.- Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).- Certifications in relevant technologies or cloud platforms.Benefits:- Competitive salary and performance-based bonuses.- Comprehensive health, dental, and vision insurance.- 401(k) plan with company match.- Generous paid time off and flexible work arrangements.- Opportunities for ongoing learning and professional development.