Senior Big Data Engineer – Remote Data Entry & Analytics – $28/hr – arenaflex – Phoenix, USA

About arenaflex

arenaflex is a global leader in financial services technology, delivering innovative digital solutions that power millions of transactions every day. With a heritage of more than a century in the industry, arenaflex has evolved from a traditional card issuer into a cutting‑edge technology powerhouse, embracing cloud, AI, and big‑data ecosystems to stay ahead of the curve. Our mission is to create seamless, secure, and intelligent experiences for customers worldwide, and we do that by investing heavily in talent, modern infrastructure, and an open‑source mindset. As a member of the arenaxflex family, you will be part of a forward‑thinking community that values curiosity, collaboration, and continuous learning.

Why This Role Matters

In today’s data‑driven world, the ability to ingest, process, and analyze massive volumes of information in real time is a competitive advantage. As a Senior Big Data Engineer on our Remote Data Entry team, you will design, build, and maintain the pipelines that transform raw transaction logs into actionable insights for risk management, fraud detection, and personalized customer experiences. Your work will directly influence the reliability, scalability, and performance of arenaflex’s core platforms, ensuring that our customers enjoy fast, secure, and innovative services.

Key Responsibilities

• Architect, develop, and optimize end‑to‑end big‑data pipelines using Hadoop, Hive, Spark, and PySpark to support high‑throughput data ingestion and processing.
• Collaborate with product owners, data scientists, and senior architects to translate business requirements into scalable technical solutions.
• Lead code reviews, enforce best practices, and mentor junior engineers on clean coding, test‑driven development, and continuous integration.
• Implement automated testing frameworks, CI/CD pipelines (GitHub/Bitbucket, Jenkins, GitLab CI), and monitoring tools to ensure production‑grade reliability.
• Troubleshoot performance bottlenecks, identify data quality issues, and proactively propose remediation strategies.
• Design and maintain data‑warehouse schemas, data‑lake structures, and real‑time streaming architectures (Kafka, Kinesis) to support analytics and machine‑learning workloads.
• Drive the adoption of cloud platforms (AWS, GCP) and micro‑service architectures, ensuring seamless integration with existing on‑premise systems.
• Participate in agile ceremonies, sprint planning, and backlog grooming to keep projects on track and aligned with business priorities.
• Document technical designs, data flow diagrams, and operational runbooks to facilitate knowledge sharing across distributed teams.
• Stay current with emerging technologies, industry trends, and open‑source contributions, championing innovative solutions within arenaflex.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
• Minimum 3 years of hands‑on experience in big‑data development, including design and implementation of data pipelines.
• Proficiency with Hadoop ecosystem tools (Hive, HBase, Spark, PySpark) and strong SQL skills for complex query optimization.
• Solid understanding of data‑warehousing concepts, dimensional modeling, and ETL best practices.
• Experience with UNIX/Linux shell scripting and automation.
• Demonstrated ability to lead small to medium‑sized engineering teams in an agile environment.
• Strong problem‑solving mindset with a track record of diagnosing and fixing production issues quickly.
• Excellent written and verbal communication skills, capable of articulating technical concepts to both technical and non‑technical stakeholders.

Preferred Qualifications & Nice‑to‑Have Skills

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline.
• Hands‑on experience with cloud platforms (AWS, GCP) and infrastructure‑as‑code tools (Terraform, CloudFormation).
• Familiarity with micro‑service design patterns, Docker, Kubernetes, and container orchestration.
• Experience building real‑time streaming solutions using Kafka, Kinesis, or similar technologies.
• Knowledge of NoSQL databases such as MongoDB, Couchbase, or HBase.
• Exposure to machine‑learning pipelines and data‑science workflows (e.g., MLflow, TensorFlow Extended).
• Contributions to open‑source projects or active participation in technical communities.
• Professional certifications (AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Cloudera Certified Professional).

Core Skills & Competencies

• Programming Languages: Java, Python, Scala, and Bash scripting.
• Data Processing: Expertise in batch and stream processing, data partitioning, and performance tuning.
• Version Control & CI/CD: Git, GitHub/Bitbucket, Jenkins, GitLab CI, and automated testing frameworks.
• Analytical Thinking: Ability to break down complex problems, design elegant solutions, and evaluate trade‑offs.
• Collaboration: Strong teamwork orientation, comfortable working with cross‑functional, globally distributed teams.
• Leadership: Mentorship, coaching, and the ability to inspire engineers to achieve their highest potential.
• Adaptability: Thrive in a fast‑paced environment where priorities shift and new challenges emerge daily.

Career Growth & Learning Opportunities

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

• Annual learning budgets for conferences, certifications, and advanced coursework.
• Mentorship programs pairing you with senior architects and industry thought leaders.
• Opportunities to lead high‑visibility projects that influence the strategic direction of the company.
• Rotational assignments across different product lines, allowing you to broaden your technical expertise.
• Internal hackathons and innovation labs where you can prototype new ideas and showcase them to senior leadership.

Work Environment & Culture at arenaflex

Our culture is built on three pillars: Innovation, Inclusion, and Impact. We foster an environment where every voice is heard, ideas are celebrated, and collaboration transcends geography. Remote work is fully supported, with flexible hours that respect work‑life balance. Our offices in Phoenix feature open‑plan workspaces, quiet zones, and state‑of‑the‑art collaboration rooms. Whether you are in the office or working from home, you will have access to the same tools, resources, and community events that keep our teams connected.

Compensation, Benefits & Perks

arenaflex offers a competitive hourly rate of $28/hr, complemented by a comprehensive benefits package that includes:

• Health, dental, and vision insurance with multiple plan options.
• 401(k) retirement plan with company match.
• Generous paid time off, holidays, and sick leave.
• Wellness stipend, mental‑health resources, and employee assistance programs.
• Flexible remote‑work policy and home‑office allowance.
• Employee stock purchase plan (ESPP) and performance‑based bonuses.
• Professional development funds, tuition reimbursement, and access to online learning platforms.
• Company‑wide events, virtual coffee chats, and community service initiatives.

How to Apply

If you are ready to shape the future of data engineering at a world‑class organization, we want to hear from you. Click the link below to submit your resume, cover letter, and any relevant portfolio or GitHub links. Our recruiting team will review your application and reach out to schedule a conversation.

Apply Now

Join arenaflex and Make an Impact

At arenaflex, your work will directly influence the experiences of millions of customers worldwide. You will be part of a vibrant, high‑performing team that pushes the boundaries of technology while fostering a supportive and inclusive culture. Take the next step in your career—apply today and become a catalyst for innovation at arenaflex.