**Experienced Full Stack Data Engineer – AI Research and Deployment**

At arenaflex, we're pushing the boundaries of AI capabilities and delivering these innovations to the world safely. Our mission is to harness AI's potential to solve significant global challenges, sharing its benefits broadly. We're seeking a skilled Data Engineer to lead the development of our data pipelines and foundational tables, driving the growth and success of arenaflex. **About arenaflex** arenaflex is a leading AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. Our team of experts is passionate about harnessing AI's potential to solve significant global challenges, sharing its benefits broadly. We strive to create a safer and more inclusive technological future, and we're looking for talented individuals to join our mission. **Job Description** arenaflex is seeking a skilled Data Engineer to lead the development of our data pipelines and foundational tables. These pipelines are crucial for powering analytics, enhancing security systems, informing business decisions, fostering product innovation, and preventing disruptions. In this role, you will collaborate closely with our researchers to help train new models for deployment to our clients. Your data-driven insights will be instrumental in shaping arenaflex's future. **Responsibilities** * Design, build, and manage data pipelines, ensuring seamless integration of all client event data into our data warehouse. * Develop standardized datasets to track key product metrics, including user growth, engagement, and revenue. * Collaborate with teams across Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand data needs and provide solutions. * Implement robust, fault-tolerant systems for data ingestion and processing. * Contribute to data architecture and engineering decisions, bringing strong insights and expertise. * Ensure the security, integrity, and compliance of data according to industry and company standards. **Key Responsibilities:** * **Data Pipeline Development**: Design, build, and manage data pipelines to integrate client event data into our data warehouse. * **Data Architecture**: Contribute to data architecture and engineering decisions, bringing strong insights and expertise. * **Data Ingestion and Processing**: Implement robust, fault-tolerant systems for data ingestion and processing. * **Data Security and Compliance**: Ensure the security, integrity, and compliance of data according to industry and company standards. * **Collaboration**: Collaborate with teams across Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand data needs and provide solutions. **Qualifications** * 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 like Hadoop, Flink, and storage systems such as HDFS and S3. * Expertise in ETL schedulers like Apache Airflow, Dagster, or similar frameworks. * Strong understanding of Apache Spark with the ability to write, debug, and optimize Spark code. **Essential Qualifications:** * **Programming Skills**: Proficiency in at least one programming language commonly used in Data Engineering. * **Distributed Processing**: Experience with distributed processing technologies and frameworks. * **ETL Schedulers**: Expertise in ETL schedulers like Apache Airflow, Dagster, or similar frameworks. * **Apache Spark**: Strong understanding of Apache Spark with the ability to write, debug, and optimize Spark code. **Preferred Qualifications:** * **Cloud Computing**: Experience with cloud computing platforms like AWS, GCP, or Azure. * **Big Data**: Experience with big data technologies like Hadoop, Flink, or Spark. * **Data Visualization**: Experience with data visualization tools like Tableau, Power BI, or D3.js. * **Machine Learning**: Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. **Benefits** * Competitive salary of $25/hour, inclusive of generous equity and benefits. * Comprehensive medical, dental, and vision insurance for you and your family. * Mental health and wellness support. * 401(k) plan with a 4% company match. * Unlimited paid time off and 18+ company holidays annually. * 20 weeks of paid parental leave and family-planning support. **Why Join arenaflex?** At arenaflex, we believe AI has the potential to help solve significant global challenges, and we aim to share AI's benefits broadly. By joining our team, you will be at the forefront of AI innovation, contributing to a safer and more inclusive technological future. **Work Environment and Company Culture** arenaflex is a remote-first company, offering a flexible and autonomous work environment. Our team is passionate about innovation, collaboration, and continuous learning. We prioritize work-life balance, offering unlimited paid time off and 18+ company holidays annually. Our company culture is built on trust, respect, and open communication, fostering a supportive and inclusive community. **Compensation and Perks** arenaflex offers a competitive salary of $25/hour, inclusive of generous equity and benefits. Our comprehensive benefits package includes: * **Medical, Dental, and Vision Insurance**: Comprehensive insurance for you and your family. * **Mental Health and Wellness Support**: Access to mental health resources and wellness programs. * **401(k) Plan**: A 401(k) plan with a 4% company match. * **Unlimited Paid Time Off**: Unlimited paid time off and 18+ company holidays annually. * **20 Weeks of Paid Parental Leave**: 20 weeks of paid parental leave and family-planning support. **How to Apply** If you're passionate about AI innovation and data engineering, we encourage you to apply. Even if you feel you're not a perfect match, we'd still love to hear from you. Our team is looking for great people to join our friendly and inclusive community. Apply Job! Apply for this job