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, collaborating closely with our researchers to help train new models for deployment to our clients.

About arenaflex

arenaflex is a leading AI research and deployment company 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 of innovators and experts is committed to delivering cutting-edge AI solutions that make a meaningful impact on people's lives.

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 Responsibilities:

* Design and implement data pipelines using industry-standard tools and technologies.

• Develop and maintain high-quality, scalable data architectures.
• Collaborate with cross-functional teams to identify data needs and provide solutions.
• Implement data security and compliance measures to protect sensitive information.
• Develop and maintain data documentation and standards.

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.
• Experience working in a fast-paced, collaborative environment with a focus on delivering high-quality results.

Essential Qualifications:

* Bachelor's degree in Computer Science, Engineering, or related field.

• 2+ years of experience in Data Engineering, with a focus on designing and implementing data pipelines.
• Strong understanding of data architecture and engineering principles.
• Experience with cloud-based data platforms, such as AWS or GCP.

Preferred Qualifications:

* Master's degree in Computer Science, Engineering, or related field.

• 5+ years of experience in Data Engineering, with a focus on designing and implementing data pipelines.
• Experience with machine learning and AI technologies.
• Strong understanding of data security and compliance principles.

Skills and Competencies

To succeed in this role, you will need:

• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Experience working in a fast-paced, collaborative environment with a focus on delivering high-quality results.
• Strong understanding of data architecture and engineering principles.
• Experience with cloud-based data platforms, such as AWS or GCP.
• Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams.

Career Growth Opportunities and Learning Benefits

At arenaflex, we believe in investing in our employees' growth and development. As a Data Engineer, you will have opportunities to:

• Collaborate with our researchers to help train new models for deployment to our clients.
• Contribute to data architecture and engineering decisions, bringing strong insights and expertise.
• Develop and maintain high-quality, scalable data architectures.
• Implement data security and compliance measures to protect sensitive information.
• Develop and maintain data documentation and standards.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values collaboration, creativity, and continuous learning. Our team is passionate about harnessing AI's potential to solve significant global challenges, and we're committed to creating a safe and inclusive work environment. As a Data Engineer, you will have the opportunity to work with a talented team of innovators and experts, and to contribute to the development of cutting-edge AI solutions.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary of $25/hour, inclusive of generous equity and benefits. Our comprehensive benefits package includes:

• 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. We're committed to creating a work environment that values collaboration, creativity, and continuous learning, and we're passionate about investing in our employees' growth and development.

Apply Now

If you're a motivated and talented Data Engineer looking for a challenging and rewarding role, we encourage you to apply now. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We can't wait to hear from you! Apply for this job