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Experienced Full Stack Data Engineer – ChatGPT Data Pipeline Development and Management

Remote, USA Full-time Posted 2026-06-16

At arenaflex, we're on a mission to revolutionize the way we interact with artificial intelligence. As a leading innovator in the field, we're seeking an exceptional Full Stack Data Engineer to join our team and help us build the future of OpenAI. If you're passionate about working with data and are 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 positive change. We're committed to ensuring that AI benefits all of humanity, and we're passionate about pushing the boundaries of what's possible. Our team is made up of talented individuals from diverse backgrounds, and we're united by our shared vision of a future where AI enhances human life.

Job Summary

We're looking for a highly skilled Full Stack Data Engineer to join our team and help us develop and manage our data pipelines. As a key member of our data engineering team, you'll play a critical role in designing, building, and maintaining our data infrastructure. You'll work closely with our analysts, scientists, and engineers to ensure that our data pipelines are scalable, efficient, and secure.

Key Responsibilities

* Design, build, and manage our data pipelines, ensuring that all client event data is consistently ingested into our data warehouse

  • Create authoritative datasets to track key product metrics, including user growth, engagement, and revenue
  • Collaborate with cross-functional teams, including Foundation, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and provide solutions
  • Develop and implement robust and issue-free frameworks for data ingestion and processing
  • Participate in data architecture and design decisions, bringing expertise and data to the table
  • Ensure the security, integrity, and compliance of data according to industry and company standards

Requirements

* Bachelor's degree in Computer Science, Data Science, 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 tools
  • Strong understanding of data storage and the ability to write, troubleshoot, and optimize data storage code
  • Experience with data visualization tools and technologies, such as Tableau, Power BI, or D3.js

Preferred Qualifications

* Master's degree in Computer Science, Data Science, or a related field

  • Experience with cloud-based data platforms, such as AWS, GCP, or Azure
  • Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with data governance and compliance frameworks, such as GDPR, HIPAA, or CCPA

What We Offer

* Competitive salary and benefits package

  • Comprehensive health, dental, and vision insurance for you and your loved ones
  • Emotional well-being and health support
  • 401(k) plan with 4% matching
  • Unlimited time off and 18+ company events per year
  • Paid parental leave (20 weeks) and family-planning support

Why Join arenaflex?

At arenaflex, we're passionate about creating a workplace that's inclusive, diverse, and supportive. We believe that AI should benefit all of humanity, and we're committed to ensuring that our technology is developed with security and human needs at its core. If you're excited about the potential of AI to drive positive change, we'd love to have you join our team.

How to Apply

If you're ready for this challenge, apply now and let's discuss how you can become a vital part of our success story. Apply for this job

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