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. As a leading AI research and deployment company, we're 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.
About arenaflex
arenaflex is a forward-thinking organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We strive to create a safer and more inclusive technological future by harnessing AI's potential to solve significant global challenges. Our team is passionate about innovation, collaboration, and pushing the boundaries of what's possible with AI.
Job Summary
We're looking for a talented Data Engineer to join our team and lead the development of our data pipelines and foundational tables. As a key member of our team, 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. If you're passionate about AI, data engineering, and innovation, we encourage you to apply for this exciting opportunity.
Responsibilities
As a Data Engineer at arenaflex, you will be responsible for:
- Designing, building, and managing data pipelines to ensure seamless integration of all client event data into our data warehouse.
- Developing standardized datasets to track key product metrics, including user growth, engagement, and revenue.
- Collaborating with teams across Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand data needs and provide solutions.
- Implementing robust, fault-tolerant systems for data ingestion and processing.
- Contributing to data architecture and engineering decisions, bringing strong insights and expertise.
- Ensuring the security, integrity, and compliance of data according to industry and company standards.
Key Skills and Qualifications
To be successful in this role, you will need:
- 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.
- Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
- Excellent collaboration and teamwork skills, with the ability to work effectively with cross-functional teams.
Benefits
As a Data Engineer at arenaflex, you can expect:
- A 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. Our team is passionate about innovation, collaboration, and pushing the boundaries of what's possible with AI. We offer a dynamic and supportive work environment, with opportunities for growth and development.
How to Apply
If you're passionate about AI, data engineering, and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We can't wait to hear from you! Apply Now! Apply for this job