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Experienced Full Stack Data Engineer – Web & Cloud Application Development

Work from home Full-time role Hiring

Are you ready to drive results and define an industry? Join arenaflex as a Full Stack Data Engineer and be part of a dynamic team that's shaping the future of artificial intelligence. This is a unique opportunity to work with cutting-edge technologies, collaborate with talented individuals, and contribute to the development of innovative solutions that will transform the world.

About arenaflex

arenaflex is a leading artificial intelligence research and development company dedicated to creating universally beneficial AI that helps all of humankind. We're passionate about pushing the boundaries of AI capabilities and delivering them to the world through our products safely. Our mission is to make AI a powerful tool that's designed with security and human needs at its core. We believe that AI can help people tackle massive global challenges, and we want to share its potential benefits with everyone.

Job Details

*

Job Title:

Full Stack Data Engineer

Location:

Remote

Employment Type:

Full-time

Work Hours:

8 hours

Salary:

$28/hour

Industry:

Private

Qualifications:

Bachelor's Degree

Experience:

2+ years of experience in data engineering, software development, or a related field

About the Job

We're looking for a highly skilled Full Stack Data Engineer to join our team and help us build the next generation of AI-powered applications. As a Full Stack Data Engineer, you'll be responsible for designing, developing, and maintaining our data pipelines, ensuring that all client interaction data is seamlessly integrated into our data warehouse. You'll work closely with our scientists to develop new models that deliver value to our customers, and your contributions will play a critical role in shaping our company's direction.

Key Responsibilities

* Design, build, and manage our data pipelines, ensuring that all client interaction data is flawlessly integrated into our data warehouse

  • Create sanctioned datasets to track key product metrics, including customer growth, engagement, and revenue
  • Collaborate with cross-functional teams, including Foundation, Information Science, Product, Marketing, Finance, and Research, to understand their data needs and provide solutions
  • Implement strong and robust data ingestion and processing frameworks
  • Participate in data design and architecture decisions, bringing expertise and data-driven insights to the table
  • Ensure the security, integrity, and compliance of data according to industry and company standards

Requirements

* 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 distributed storage systems (e.g., HDFS, S3)
  • Familiarity with ETL schedulers like Windstream, Dagster, Regent, or similar tools
  • Strong understanding of data storage and ability to write, troubleshoot, and optimize data storage code
  • Experience with cloud-based data platforms and services, such as AWS or GCP
  • Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment

What We Offer

* Competitive salary and benefits package

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

Why Join arenaflex?

* Be part of a dynamic team that's shaping the future of artificial intelligence

  • Collaborate with talented individuals who share your passion for innovation and excellence
  • Contribute to the development of cutting-edge solutions that will transform the world
  • Enjoy a flexible and remote work environment that allows you to work from anywhere
  • Take advantage of our comprehensive benefits package and career growth opportunities

How to Apply

If you're passionate about data engineering, artificial intelligence, and innovation, we encourage you to apply for this exciting opportunity. Even if you feel you're not a perfect match, we'd still love to hear from you. We're looking for great people to join our friendly team, and we can't wait to meet you! Apply to this job Apply for this job

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