Part‑Time Data Engineer – Distributed Systems & Cloud Data Platforms (Remote, $27/hr) – arenaflex

About arenaflex – Innovating the Future of Financial Technology

arenaflex is a global leader in financial services technology, empowering millions of customers worldwide with secure, reliable, and cutting‑edge payment solutions. As a forward‑thinking organization, arenaflex blends deep industry expertise with a culture of continuous innovation, fostering an environment where technology professionals can thrive, experiment, and make a tangible impact on the digital economy. Our mission is to simplify complex financial interactions, and we achieve that by building robust, scalable, and secure data platforms that power everything from everyday card transactions to sophisticated fraud‑prevention analytics.

Why This Role Matters

In today’s data‑driven world, the ability to process, store, and analyze massive streams of information in real time is a competitive advantage. As a Part‑Time Data Engineer at arenaflex, you will be at the heart of this transformation, designing and implementing distributed data processing pipelines that enable our products to scale globally while maintaining the highest standards of performance, reliability, and security. This is a unique opportunity to work remotely, collaborate with world‑class engineers, and contribute to a technology stack that powers billions of transactions each year.

Key Responsibilities

• Design, develop, and maintain distributed data processing and storage solutions on hybrid cloud environments (public cloud + on‑premise).
• Architect high‑throughput, low‑latency data pipelines using technologies such as Apache Kafka, Cassandra, Elasticsearch, and Flink.
• Write clean, performant, and well‑documented code in Java, Scala, or Python, adhering to arenaflex’s coding standards and best practices.
• Collaborate closely with product managers, data scientists, and front‑end engineers to translate business requirements into scalable technical designs.
• Develop proof‑of‑concept prototypes to evaluate emerging technologies and recommend adoption strategies.
• Implement robust monitoring, alerting, and automated recovery mechanisms to ensure 99.99% system availability.
• Participate in code reviews, pair programming sessions, and knowledge‑sharing workshops to elevate the overall engineering competency of the team.
• Stay current with industry trends, open‑source innovations, and best practices in distributed systems, cloud native architectures, and DevOps.
• Mentor junior engineers and provide technical guidance on architecture, performance tuning, and security hardening.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Experience: Minimum 2 years of hands‑on experience building distributed data processing systems.
• Technical Skills: Proficiency with NoSQL databases (Cassandra, Elasticsearch), streaming platforms (Kafka), and container orchestration (Docker, Kubernetes, OpenShift).
• Programming Languages: Strong command of at least one of Java, Scala, or Python, with a focus on writing production‑grade code.
• Cloud Platforms: Familiarity with cloud services (AWS, Azure, or GCP) and the ability to deploy and manage workloads in a hybrid environment.
• DevOps Mindset: Experience with CI/CD pipelines, automated testing, and infrastructure‑as‑code tools (Terraform, Ansible, Helm).
• Problem‑Solving Ability: Demonstrated capacity to troubleshoot complex system issues, conduct root‑cause analysis, and implement effective solutions.
• Communication Skills: Excellent written and verbal communication, capable of articulating technical concepts to both technical and non‑technical stakeholders.

Preferred Qualifications & Additional Skills

• Advanced degree (M.S. or Ph.D.) in a quantitative field such as Computer Science, Data Engineering, or Applied Mathematics.
• Hands‑on experience with stream processing frameworks (Apache Flink, Spark Structured Streaming).
• Knowledge of data modeling, schema design, and performance optimization for large‑scale data stores.
• Experience building micro‑services architectures and RESTful APIs that interact with data pipelines.
• Familiarity with security best practices, including encryption at rest, role‑based access control, and compliance standards (PCI‑DSS, GDPR).
• Contributions to open‑source projects or active participation in technical communities.
• Ability to work independently in a remote setting while maintaining high levels of productivity and collaboration.

Core Skills & Competencies

• Analytical Thinking: Ability to break down complex problems into manageable components and devise elegant, data‑driven solutions.
• Collaboration: Proven track record of working effectively in cross‑functional teams, fostering a culture of shared ownership and continuous improvement.
• Adaptability: Comfort with rapid change, willingness to experiment, and resilience in the face of failure—viewing setbacks as learning opportunities.
• Leadership: Capacity to influence technical direction, mentor peers, and champion best practices across the organization.
• Customer Focus: Understanding of how data engineering impacts end‑user experiences, with a commitment to delivering reliable, low‑latency services.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a part‑time data engineer, you will have access to:

• Annual learning stipend for conferences, certifications, or online courses.
• Mentorship programs pairing you with senior architects and industry experts.
• Internal tech talks, hackathons, and innovation sprints that encourage creative problem‑solving.
• Clear career pathways that can lead to senior engineering, architecture, or product leadership roles.
• Opportunities to contribute to open‑source initiatives, enhancing both your personal brand and arenaflex’s reputation in the community.

Work Environment & Culture at arenaflex

Our remote‑first philosophy is built on trust, flexibility, and a strong sense of community. arenaflex’s culture emphasizes:

• Inclusivity: A diverse workforce where every voice is heard and respected.
• Innovation: An environment that encourages experimentation, rapid prototyping, and learning from failures.
• Collaboration: Regular virtual coffee chats, team retrospectives, and cross‑functional workshops to keep connections strong.
• Well‑Being: Access to mental‑health resources, flexible scheduling, and a supportive work‑life balance.
• Recognition: Programs that celebrate technical achievements, community contributions, and teamwork.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $27 per hour, reflecting the expertise and value you bring to our data platforms. In addition to base compensation, you will enjoy:

• Comprehensive health, dental, and vision insurance plans.
• Retirement savings options with company matching.
• Paid time off, holidays, and sick days to support personal well‑being.
• Remote work allowance covering home office equipment, high‑speed internet, and ergonomic accessories.
• Professional development budget and access to a curated library of technical resources.
• Employee assistance programs, wellness challenges, and virtual social events.

How to Apply

If you are passionate about building resilient, high‑performance data systems and want to join a forward‑thinking, remote‑first team at arenaflex, we would love to hear from you. Please submit your resume, a brief cover letter highlighting your relevant experience, and any open‑source contributions or project portfolios that showcase your expertise.

Apply Now

Take the Next Step with arenaflex

At arenaflex, your work will directly influence the financial experiences of millions of users worldwide. We value curiosity, integrity, and a relentless drive to solve complex challenges. Join us, and become part of a community that celebrates innovation, supports growth, and rewards excellence. Apply today and start shaping the future of data‑driven finance with arenaflex.