Remote Data Engineer – Information Pipeline Architecture, ETL Development & Analytics – $28/hr – arenaflex (Fully Remote)

About arenaflex – Pioneering the Future of Intelligent Systems

arenaflex is a world‑leading artificial intelligence research and deployment organization dedicated to ensuring that advanced AI benefits all of humanity. Our mission‑driven teams push the boundaries of what intelligent systems can achieve, delivering safe, reliable, and human‑centered AI solutions that power the next generation of products and services. As a fast‑growing, globally distributed company, arenaflex values curiosity, collaboration, and a relentless focus on data‑driven decision making. Join us and become part of a community that shapes the future of technology while upholding the highest standards of ethics, security, and inclusivity.

Position Overview – Remote Data Engineer (Full‑Time)

arenaflex is seeking a highly motivated Data Engineer to lead the design, construction, and operation of robust information pipelines that power critical business insights, product development, and security frameworks. In this role, you will work closely with world‑class researchers, product managers, and cross‑functional teams to transform raw data into actionable intelligence that drives strategic decisions across the organization.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines that ingest, cleanse, and store high‑volume user event data from a variety of sources.
• Build and manage curated datasets aligned with core product metrics such as user growth, engagement, and revenue.
• Collaborate with research, product, advertising, finance, and analytics teams to understand data requirements and deliver tailored solutions.
• Implement robust, fault‑tolerant data ingestion and processing frameworks using industry‑standard technologies.
• Participate in data modeling and schema design discussions, ensuring optimal performance and data quality.
• Enforce data security, privacy, and compliance standards in accordance with internal policies and regulatory guidelines.
• Monitor pipeline health, troubleshoot issues, and continuously optimize performance and cost efficiency.
• Document architecture, processes, and best practices to enable knowledge sharing across the engineering organization.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
• Proficiency in at least one programming language commonly used in data engineering, such as Python, Scala, or Java.
• Hands‑on experience with distributed processing frameworks (e.g., Apache Hadoop, Apache Flink, Spark) and storage solutions (e.g., HDFS, Amazon S3).
• Familiarity with ETL orchestration tools such as Airflow, Dagster, Prefect, or similar.
• Strong understanding of data modeling concepts, relational and NoSQL databases, and data warehousing techniques.
• Demonstrated ability to write clean, maintainable, and performant code, with a focus on debugging and optimization.
• Excellent communication skills and a collaborative mindset for working with multidisciplinary teams.

Preferred Qualifications & Skills

• Experience building data pipelines for machine‑learning workloads or AI model training.
• Knowledge of cloud platforms (AWS, GCP, Azure) and associated data services (e.g., Redshift, BigQuery, Snowflake).
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
• Understanding of data governance, privacy regulations (GDPR, CCPA) and security best practices.
• Prior work in a fast‑paced, remote‑first environment with distributed teams.
• Passion for AI ethics, responsible AI, and a commitment to building technology that serves humanity.

Core Competencies for Success

• Analytical Thinking: Ability to dissect complex data problems and devise elegant, efficient solutions.
• Problem‑Solving: Proactive approach to identifying bottlenecks, troubleshooting issues, and implementing improvements.
• Collaboration: Strong teamwork skills, comfortable partnering with scientists, product owners, and business stakeholders.
• Adaptability: Thrive in a rapidly evolving environment where priorities shift and new technologies emerge.
• Ownership: Take end‑to‑end responsibility for pipeline reliability, data quality, and delivery timelines.
• Communication: Clearly articulate technical concepts to non‑technical audiences and document work for future reference.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Data Engineer, you will have access to:

• Mentorship from senior engineers and leading AI researchers.
• Annual learning stipend for conferences, certifications, or online courses.
• Opportunities to contribute to open‑source projects and internal tooling initiatives.
• Clear career pathways toward senior engineering, data architecture, or product leadership roles.
• Cross‑functional exposure to cutting‑edge AI research, product design, and business strategy.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, flexibility, and a shared purpose. Key aspects of life at arenaflex include:

• Inclusive Community: Diverse teams that celebrate different perspectives, backgrounds, and experiences.
• Flexibility: Choose your own work hours within a standard 8‑hour day, allowing you to balance personal commitments.
• Innovation‑Driven: A fast‑moving environment where ideas are tested quickly, and impact is visible.
• Well‑Being Focus: Programs that support mental health, physical wellness, and work‑life harmony.
• Transparent Leadership: Regular town‑halls, Q&A sessions, and open communication channels with senior executives.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $28 per hour along with a comprehensive benefits package that includes:

• Medical, dental, and vision coverage for you and your dependents.
• Generous paid time off, unlimited vacation, and 18+ company‑wide events each year.
• 401(k) retirement plan with a 4% company match.
• Paid parental leave (up to 20 weeks) and family‑care support resources.
• Employee assistance program for mental‑health counseling and wellness resources.
• Professional development budget and access to cutting‑edge AI tools and platforms.
• Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.

Why Join arenaflex?

At arenaflex, you will be at the heart of a mission‑critical effort to build safe, responsible AI that tackles some of the world’s biggest challenges. Your work will directly influence product decisions, enhance security frameworks, and empower researchers to create the next generation of intelligent systems. If you are passionate about data, love solving complex engineering problems, and want to make a tangible impact on a global scale, arenaflex is the place for you.

Ready to Shape the Future?

We are excited to meet talented engineers who are eager to drive data excellence in a purpose‑driven organization. Apply today and start your journey with arenaflex—where data meets innovation, and every line of code helps shape a better tomorrow.

Apply Now