**Remote Data Engineer - AI Innovation and Development at arenaflex ($28/Hour)**

Join a dynamic team of innovators at arenaflex, a pioneering force in the realm of Artificial Intelligence (AI), as we push the boundaries of what is possible with data-driven insights. As a highly skilled Data Engineer, you will play a pivotal role in shaping the future of AI by designing, building, and managing our information pipelines and central tables. If you're passionate about working with data and eager to make a significant impact, we invite you to apply for this exciting opportunity. **About arenaflex** arenaflex is a leading AI research and development company dedicated to ensuring that advanced AI systems benefit all of humanity. Our mission is to deliver AI capabilities safely and securely, while pushing the boundaries of innovation and driving progress in various industries. At arenaflex, we believe that data is the lifeblood of AI, and our team of experts is committed to harnessing its power to drive business growth, product development, and security frameworks. **Key Responsibilities** As a Data Engineer at arenaflex, you will be responsible for: * Designing, building, and managing data pipelines to support business decision-making, product development, and security frameworks * Creating sanctioned datasets to track key product metrics, including client growth, engagement, and revenue * Collaborating with cross-functional teams, including Engineering, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions * Implementing robust and fault-tolerant systems for data ingestion and processing * Participating in data architecture and design decisions, bringing strong technical expertise and data-driven insights * Ensuring the security, integrity, and compliance of data according to industry and company standards **Requirements** To succeed in this role, you will need: * A Bachelor's degree in Computer Science, Engineering, or a related field * Proficiency in at least one programming language, such as Python, Scala, or Java * Experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3) * Familiarity with ETL schedulers like Airflow, Dagster, or similar frameworks * Strong understanding of SQL and ability to write, debug, and optimize SQL code **What We Offer** As a valued member of our team, you can expect: * Competitive salary ($28/hour) * Liberal equity and benefits package * Comprehensive health, dental, and vision insurance for you and your family * Mental health and wellness support * 401(k) plan with 4% matching * Unlimited downtime and 18+ company holidays per year * Paid parental leave (20 weeks) and family-planning support **Work Environment and Company Culture** At arenaflex, we prioritize a collaborative and inclusive work environment that fosters creativity, innovation, and growth. Our team is passionate about making a meaningful impact, and we encourage open communication, continuous learning, and professional development. We believe that diversity and inclusion are essential to our success, and we strive to create a workplace that reflects the diversity of our customers and the communities we serve. **Career Growth Opportunities and Learning Benefits** arenaflex is committed to helping you grow and develop your skills and expertise. We offer a range of training programs, mentorship opportunities, and career development resources to support your professional growth. Our team is passionate about sharing knowledge and expertise, and we encourage collaboration and knowledge-sharing across departments and teams. **How to Apply** If you're passionate about working with data and eager to make a significant impact, we invite you to apply for this exciting opportunity. Please submit your application, including your resume, cover letter, and any relevant samples or portfolios. We look forward to hearing from you and exploring how you can contribute to our mission to shape the future of AI. Apply for this job Apply for this job