Experienced Full Stack Data Engineer – AI Research and Deployment

At arenaflex, we're pushing the boundaries of AI capabilities to ensure that general-purpose artificial intelligence benefits all of humanity. Our mission is to harness AI's potential to solve significant global challenges, sharing its benefits broadly. We're seeking an exceptional Full Stack Data Engineer to lead the development of our data pipelines and foundational tables. This role is crucial for powering analytics, enhancing security systems, informing business decisions, fostering product innovation, and preventing disruptions.

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 deliver innovations to the world safely, while pushing the boundaries of AI capabilities. Our team is passionate about harnessing AI's potential to solve significant global challenges, sharing its benefits broadly.

Responsibilities

As a Full Stack 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, and reliable data processing systems.
• Collaborate with cross-functional teams to identify data needs and provide solutions.
• Ensure data security, integrity, and compliance with industry and company standards.
• Contribute to data architecture and engineering decisions, bringing expertise and insights.

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 problem-solving skills, with the ability to analyze complex data issues and develop effective solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Essential Qualifications:

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

• 2+ years of experience in Data Engineering, with a focus on data pipelines and foundational tables.
• Proficiency in at least one programming language commonly used in Data Engineering.
• Experience with distributed processing technologies and frameworks.
• Expertise in ETL schedulers and data architecture.

Preferred Qualifications:

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

• 5+ years of experience in Data Engineering, with a focus on data pipelines and foundational tables.
• Strong understanding of cloud-based data processing systems and technologies.
• Experience with data governance and compliance frameworks.
• Strong leadership skills, with the ability to lead cross-functional teams.

Skills and Competencies

To succeed in this role, you will need to possess:

• Strong analytical and problem-solving skills, with the ability to analyze complex data issues and develop effective solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Strong technical skills, with proficiency in at least one programming language commonly used in Data Engineering.
• Experience with distributed processing technologies and frameworks.
• Strong understanding of data architecture and engineering principles.

Career Growth Opportunities and Learning Benefits

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

• Work on high-impact projects, with a focus on data pipelines and foundational tables.
• Collaborate with cross-functional teams to identify data needs and provide solutions.
• Contribute to data architecture and engineering decisions, bringing expertise and insights.
• Develop and maintain high-quality, scalable, and reliable data processing systems.
• Ensure data security, integrity, and compliance with industry and company standards.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company, with a strong focus on collaboration and teamwork. Our team is passionate about harnessing AI's potential to solve significant global challenges, sharing its benefits broadly. We offer a flexible and remote work environment, with opportunities for professional growth and development.

Compensation, Perks, and Benefits

arenaflex offers a competitive salary of $25/hour, inclusive of generous equity and benefits. Our 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 offer a dynamic and innovative work environment, with opportunities for professional growth and development.

Apply Now

If you're passionate about data engineering and AI innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter, outlining your experience and qualifications. We can't wait to hear from you! Apply Job! Apply for this job