Senior Data Engineer – Remote Distributed Data Platform Development & Cloud Integration at arenaflex

About arenaflex

arenaflex is a global leader in financial technology, delivering innovative payment solutions to millions of consumers and businesses worldwide. Our mission is to empower the digital economy by building secure, scalable, and high‑performance platforms that enable seamless transactions across borders. As part of our rapidly expanding technology ecosystem, we invest heavily in cutting‑edge infrastructure, open‑source collaboration, and continuous learning. Joining arenaflex means becoming part of a forward‑thinking community that values creativity, diversity, and the relentless pursuit of excellence.

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 Senior Data Engineer at arenaflex, you will be at the heart of our distributed data platform, shaping the architecture that powers critical payment and fraud‑detection services. Your work will directly influence the reliability, speed, and security of transactions for millions of users, making a tangible impact on the global financial ecosystem.

Key Responsibilities

• Design, develop, and maintain high‑throughput, low‑latency data pipelines that operate across hybrid cloud environments.
• Collaborate with product owners, data scientists, and software engineers to translate business requirements into scalable technical solutions.
• Lead the creation of detailed architectural diagrams, component specifications, and performance benchmarks for subsystems and services.
• Write clean, production‑ready code in Java or Scala, adhering to best practices for readability, testability, and maintainability.
• Develop proof‑of‑concept prototypes to evaluate emerging technologies such as stream processing frameworks, new storage engines, and novel data models.
• Stay abreast of industry trends, open‑source projects, and best‑in‑class patterns; champion the adoption of innovative tools that reduce latency and increase throughput.
• Mentor junior engineers, conduct code reviews, and provide technical guidance to foster a culture of continuous improvement.
• Partner with cross‑functional teams—including security, compliance, and DevOps—to ensure data pipelines meet regulatory standards and operational SLAs.
• Drive a culture of experimentation, encouraging rapid iteration, failure‑tolerant design, and data‑driven decision making.
• Participate in on‑call rotations and incident response, applying root‑cause analysis to improve system resilience.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• Experience: Minimum 2 years of professional experience designing and implementing data processing systems using Java or Scala.
• Data Engineering Skills: Hands‑on experience with distributed data stores such as Cassandra, Elasticsearch, or similar NoSQL technologies.
• Streaming Expertise: Familiarity with real‑time messaging platforms (e.g., Apache Kafka) and the ability to build low‑latency ingestion pipelines.
• Cloud Proficiency: Practical knowledge of containerization (Docker) and orchestration platforms (Kubernetes, OpenShift) for deploying scalable services.
• Software Development Lifecycle (SDLC): Experience participating in agile ceremonies, writing unit/integration tests, and using CI/CD pipelines.
• Problem‑Solving Ability: Demonstrated capacity to troubleshoot complex distributed systems and propose robust, production‑grade solutions.

Preferred Qualifications & Skills

• Advanced experience with stream processing frameworks such as Apache Flink or Spark Structured Streaming.
• Deep understanding of data modeling, serialization formats (Avro, Protobuf), and memory management in JVM‑based languages.
• Hands‑on exposure to DevOps practices, including continuous integration, continuous deployment, and infrastructure as code.
• Experience designing micro‑services architectures and implementing service‑mesh patterns for resilient communication.
• Knowledge of security best practices for data in motion and at rest, including encryption, tokenization, and compliance frameworks (PCI‑DSS, GDPR).
• Proven track record of mentoring engineers, delivering technical presentations, and influencing architectural decisions.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical stakeholders.

Core Competencies

• Analytical Mindset: Ability to dissect large data sets, identify patterns, and translate insights into actionable engineering solutions.
• Collaboration: Strong team player who thrives in cross‑functional environments and values diverse perspectives.
• Innovation: Passion for experimenting with new technologies, building prototypes, and iterating quickly.
• Ownership: Proactive attitude toward taking responsibility for end‑to‑end delivery, from design through production support.
• Adaptability: Comfort working in a fast‑paced, ever‑changing environment where priorities shift based on business needs.

Career Growth & Learning Opportunities

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

• Annual learning stipend for conferences, certifications, and online courses.
• Internal tech talks, hackathons, and open‑source contribution programs that encourage knowledge sharing.
• Mentorship from industry veterans and the chance to lead high‑visibility projects that shape the future of global payments.
• Clear career pathways toward Principal Engineer, Architecture Lead, or Product Management roles, depending on your interests.

Work Environment & Culture at arenaflex

Our remote‑first policy empowers you to work from anywhere in the United States while staying connected through virtual collaboration tools. We foster an inclusive culture where every voice matters, and we celebrate diversity through employee resource groups, cultural events, and community outreach initiatives. The engineering team operates in an open, transparent environment that encourages continuous feedback, rapid iteration, and a healthy work‑life balance.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your experience and expertise. While exact figures vary by location, typical hourly rates range from $20 to $30, complemented by:

• Comprehensive health, dental, and vision insurance plans.
• 401(k) retirement savings with company match.
• Generous paid time off, parental leave, and flexible scheduling.
• Wellness programs, including virtual fitness classes and mental‑health resources.
• Technology stipend for home office setup, high‑speed internet, and ergonomic equipment.
• Employee stock purchase plan (ESPP) and performance‑based bonuses.

How to Apply

If you are excited about building world‑class data platforms, love tackling complex engineering challenges, and want to make a meaningful impact at a forward‑thinking fintech leader, we want to hear from you. Join arenaflex’s #Teamarenaflex and help shape the future of digital payments.

Apply Now