**Experienced Data Engineer – Building Information Pipelines for arenaflex's AI Solutions**
At arenaflex, we're revolutionizing the way we interact with artificial intelligence, and we're looking for a talented Data Engineer to join our team. As a key member of our data engineering team, you'll play a crucial role in designing, building, and managing our information pipelines, ensuring that all client event data is consistently integrated into our data warehouse. If you're passionate about working with data and eager to make a meaningful impact, we'd love to hear from you. **About arenaflex** arenaflex is a cutting-edge technology company dedicated to harnessing the power of artificial intelligence to drive innovation and improve lives. Our mission is to ensure that artificial intelligence benefits all of humanity, and we're committed to making this vision a reality through our products and services. We believe that AI has the potential to solve some of the world's most pressing challenges, and we're passionate about harnessing its power to make a positive impact. **Job Summary** We're seeking an experienced Data Engineer to join our team and help us build the information pipelines that fuel our AI solutions. As a Data Engineer at arenaflex, you'll work closely with our scientists and engineers to design, build, and manage our data infrastructure, ensuring that our AI models are trained on high-quality, accurate data. If you're passionate about working with data and eager to make a meaningful impact, we'd love to hear from you. **Key Responsibilities** * Design, build, and manage our information pipelines, ensuring that all client event data is consistently integrated into our data warehouse. * Create sanctioned datasets to track key product metrics, including client growth, engagement, and revenue. * Collaborate with cross-functional teams, including Engineering, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and provide solutions. * Develop robust and fault-tolerant systems for data ingestion and processing. * Participate in data design and architecture decisions, bringing expertise and data to the table. * Ensure the security, integrity, and compliance of data according to industry and company guidelines. **Requirements** * Bachelor's degree in Computer Science, Engineering, or a related field. * Proficiency in at least one programming language commonly used in data engineering, 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 Apache Airflow, Dagster, or similar systems. * Strong understanding of data storage and ability to write, troubleshoot, and optimize data storage code. **Preferred Qualifications** * Master's degree in Computer Science, Engineering, or a related field. * Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP). * Familiarity with data warehousing and business intelligence tools, such as Amazon Redshift or Google BigQuery. * Strong understanding of data governance and compliance regulations, such as GDPR and HIPAA. **What We Offer** * Competitive salary and benefits package, including medical, dental, and vision insurance for you and your loved ones. * Emotional well-being and health support. * 401(k) plan with 4% matching. * Unlimited downtime and 18+ company events per year. * Paid parental leave (20 weeks) and family-planning support. **Why Join arenaflex?** * Work with a talented team of engineers and scientists who are passionate about AI and data. * Contribute to the development of cutting-edge AI solutions that have the potential to make a positive impact on the world. * Enjoy a dynamic and collaborative work environment that values innovation and creativity. * Take advantage of opportunities for professional growth and development, including training and mentorship programs. **How to Apply** If you're passionate about working with data and eager to make a meaningful impact, we'd love to hear from you. Please submit your resume and a cover letter explaining why you're the perfect fit for this role. Don't miss out on this opportunity to join a talented team of engineers and scientists who are shaping the future of AI. Apply Now! Apply for this job