Remote Data Engineer – Cloud‑Based Data Processing, Distributed Systems & Analytics at arenaflex

About arenaflex

arenaflex is a global leader in financial services technology, delivering innovative payment solutions to millions of customers worldwide. With a heritage of more than a century in the industry, arenaflex has continuously reinvented itself by embracing cutting‑edge cloud platforms, open‑source ecosystems, and data‑driven decision making. Our mission is to empower merchants, consumers, and partners with secure, fast, and reliable digital experiences. As part of the #Teamarenaflex community, you will join a forward‑thinking organization that values curiosity, collaboration, and continuous learning.

Why This Role Matters

In today’s data‑centric world, the ability to ingest, process, and analyze massive streams of transaction data in real time is a competitive advantage. As a Remote Data Engineer at arenaflex, you will be at the heart of the platform that powers billions of card transactions every day. Your work will directly influence the reliability, scalability, and security of the systems that keep our customers’ financial lives running smoothly. This is a unique opportunity to shape the future of financial technology while working from the comfort of your own home.

Key Responsibilities

• Design, develop, and maintain high‑throughput, low‑latency data pipelines that move transaction data from on‑premise systems to cloud‑native environments.
• Collaborate with software architects, product owners, and data scientists to translate business requirements into robust technical solutions.
• Write clean, performant code in Java or Scala, adhering to best practices for readability, testability, and maintainability.
• Build and optimize NoSQL data stores such as Cassandra and Elasticsearch to support real‑time analytics and fraud detection.
• Develop proof‑of‑concepts (POCs) to evaluate emerging technologies, including streaming platforms like Apache Kafka and event‑driven architectures.
• Implement containerized deployments using Docker, Kubernetes, and OpenShift, ensuring seamless CI/CD pipelines and DevOps automation.
• Lead technical discussions, mentor junior engineers, and provide architectural guidance across multiple scrum teams.
• Stay current with industry trends, open‑source projects, and security best practices to continuously improve the data platform.
• Participate in on‑call rotations and incident response, applying root‑cause analysis to drive long‑term reliability improvements.
• Document system designs, data flow diagrams, and operational runbooks to foster knowledge sharing within the organization.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• Minimum 2 years of professional experience developing large‑scale data processing applications using Java or Scala.
• Hands‑on experience with distributed data processing frameworks (e.g., Apache Flink, Spark) and streaming technologies.
• Proficiency in NoSQL databases such as Cassandra and Elasticsearch, including data modeling and query optimization.
• Solid understanding of cloud platforms (AWS, Azure, or GCP) and container orchestration tools.
• Demonstrated ability to write production‑grade code, perform code reviews, and contribute to a shared codebase.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences.

Preferred Qualifications & Skills

• Experience with Apache Kafka or similar messaging systems for real‑time data ingestion.
• Background in building microservices and RESTful APIs that expose data services to downstream applications.
• Familiarity with DevOps practices, including continuous integration, continuous delivery, and infrastructure as code (IaC) tools like Terraform or Ansible.
• Knowledge of security and compliance standards relevant to financial data (PCI DSS, GDPR, etc.).
• Track record of mentoring junior engineers and leading technical workshops or brown‑bag sessions.
• Experience with performance testing, profiling, and tuning of data‑intensive workloads.
• Understanding of different memory models, garbage collection strategies, and JVM/Scala runtime optimizations.

Core Competencies for Success

• Problem‑Solving Mindset: Ability to break down complex data challenges into manageable components and devise elegant, scalable solutions.
• Collaboration: Comfortable working in cross‑functional, distributed teams, sharing knowledge, and building consensus.
• Innovation: Willingness to experiment with new technologies, accept failure as a learning opportunity, and iterate quickly.
• Customer Focus: Understanding of how data pipelines impact end‑user experiences, fraud prevention, and business outcomes.
• Adaptability: Thrive in a fast‑moving environment where priorities shift and new requirements emerge regularly.

Career Growth & Learning Opportunities

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

• Annual learning stipend for conferences, certifications, or online courses (e.g., AWS Certified Solutions Architect, Confluent Kafka Certification).
• Mentorship programs pairing you with senior architects and industry experts.
• Internal tech talks, hackathons, and open‑source contribution initiatives that encourage experimentation.
• Clear career pathways from individual contributor roles to senior architect, lead engineer, and engineering manager tracks.
• Opportunities to work on high‑visibility projects that directly influence the strategic direction of arenaflex’s data platform.

Work Environment & Culture

Our remote‑first philosophy means you can work from anywhere in the United States while staying fully integrated with the global arenaflex team. We provide:

• A collaborative virtual workspace with tools like Slack, Microsoft Teams, and Miro to keep communication fluid.
• Regular virtual coffee chats, team‑building activities, and quarterly in‑person meet‑ups (travel expenses covered).
• A culture that celebrates diversity, inclusion, and psychological safety—every voice is heard and valued.
• Flexible working hours that respect work‑life balance, with a standard 8‑hour day but the freedom to adjust as needed.
• Access to state‑of‑the‑art hardware (laptops, monitors, ergonomic accessories) shipped directly to your home office.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your experience and the market. While exact figures vary by location and seniority, you can expect:

• Hourly rates ranging from $20–$30 per hour, with performance‑based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) retirement savings plan with company match.
• Generous paid time off, holidays, and sick leave.
• Employee assistance program (EAP) for mental health and well‑being.
• Wellness stipend for home‑office setup, fitness, or mindfulness apps.
• Paid parental leave and family‑friendly policies.

How to Apply

If you are passionate about building resilient, data‑driven systems and want to make a tangible impact on the future of financial technology, we want to hear from you. Join arenaflex’s dynamic team of engineers, innovators, and problem‑solvers.

Apply Now – Start Your Journey with arenaflex Today!

Closing Statement

At arenaflex, your expertise will be leveraged to create the next generation of data platforms that power secure, seamless transactions for millions of users worldwide. We value curiosity, integrity, and a relentless drive for excellence. Take the next step in your career and become a pivotal part of a company that is shaping the future of finance.