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Senior Big Data Engineer – Remote – arenaflex – Advanced Hadoop, Spark, Python & Cloud Solutions – $28/hr

Remote, USA Full-time Posted 2026-06-10
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About arenaflex – Pioneering the Future of Financial Technology

arenaflex is a global leader in innovative financial services, delivering cutting‑edge digital experiences to millions of customers worldwide. Our mission is to empower people to manage their money with confidence, using technology that is secure, reliable, and intuitive. As part of the #Teamarenaflex community, you will join a diverse group of thinkers, creators, and problem‑solvers who are reshaping the way financial data is processed, analyzed, and delivered.

Why This Role Matters

In today’s data‑driven economy, the ability to ingest, transform, and analyze massive data sets in real time is a competitive advantage. As a Senior Big Data Engineer at arenaflex, you will be at the heart of that advantage. You will design, build, and maintain the data pipelines that power our fraud‑detection engines, personalized recommendation systems, and real‑time analytics dashboards. Your work will directly influence the experiences of millions of users, helping them make smarter financial decisions every day.

Key Responsibilities

  • Architect and develop scalable data pipelines: Build end‑to‑end solutions using Hadoop, Spark, Hive, and PySpark to process terabytes of data daily.
  • Collaborate with cross‑functional teams: Work closely with data scientists, product managers, and software engineers to translate business requirements into technical specifications.
  • Implement robust data models: Design data warehousing schemas, ensure data quality, and optimize storage for performance and cost efficiency.
  • Automate testing and deployment: Create CI/CD pipelines with GitHub/Bitbucket, Jenkins, and Docker to enable rapid, reliable releases.
  • Monitor and troubleshoot production systems: Use logging, alerting, and performance‑tuning tools to maintain high availability and low latency.
  • Drive continuous improvement: Conduct code reviews, refactor legacy components, and champion best practices in coding standards, documentation, and testing.
  • Mentor junior engineers: Lead a small team of developers, provide technical guidance, and foster a culture of learning and innovation.
  • Explore emerging technologies: Evaluate cloud platforms (AWS, GCP), streaming frameworks (Kafka), and NoSQL databases (MongoDB, HBase) for potential adoption.

Essential Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
  • 3+ years of hands‑on experience in big data development, including design and implementation of data pipelines.
  • Proficiency with Hadoop ecosystem tools (HDFS, Hive, Spark, YARN) and strong command of SQL, HiveQL, and PySpark DataFrames.
  • Solid programming skills in Java and Python/Scala; ability to write clean, maintainable code.
  • Experience with UNIX/Linux shell scripting and automation.
  • Understanding of data warehousing concepts, dimensional modeling, and ETL best practices.
  • Demonstrated ability to lead agile teams, conduct code reviews, and drive sprint planning.
  • Excellent problem‑solving abilities, with a track record of diagnosing complex performance issues.

Preferred Qualifications & Nice‑to‑Have Skills

  • Hands‑on experience with cloud platforms (AWS, GCP) and building micro‑services architectures.
  • Familiarity with streaming technologies such as Apache Kafka, Flink, or Pulsar.
  • Knowledge of NoSQL databases (HBase, Couchbase, MongoDB) and their integration with Hadoop.
  • Exposure to containerization (Docker, Kubernetes) and orchestration for scalable deployments.
  • Experience in the financial services domain, particularly with fraud detection or risk analytics.
  • Strong communication skills and the ability to translate technical concepts for non‑technical stakeholders.

Core Skills & Competencies

  • Technical Excellence: Deep expertise in big data frameworks, data modeling, and performance optimization.
  • Collaboration: Ability to work effectively in distributed, remote teams, fostering open communication and shared ownership.
  • Leadership: Proven capability to mentor, motivate, and guide junior engineers toward high‑quality outcomes.
  • Innovation Mindset: Curiosity to explore new tools, experiment with prototypes, and drive continuous improvement.
  • Business Acumen: Understanding of how data solutions impact product strategy, customer experience, and revenue growth.

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 stipend for conferences, certifications, or online courses.
  • Mentorship programs pairing you with senior architects and industry experts.
  • Opportunities to lead high‑visibility projects that influence the company’s strategic roadmap.
  • Cross‑functional rotations to broaden your skill set across data science, product management, and cloud engineering.

Work Environment & Culture

Our remote‑first culture is built on trust, flexibility, and results‑driven performance. At arenaflex you will enjoy:

  • Flexible working hours that accommodate different time zones and personal commitments.
  • A collaborative virtual workspace with regular team stand‑ups, virtual coffee chats, and quarterly in‑person meet‑ups.
  • Inclusive policies that celebrate diversity, equity, and belonging.
  • Recognition programs that reward innovation, teamwork, and impact.

Compensation, Perks & Benefits

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

  • Health, dental, and vision insurance with employer contributions.
  • Retirement savings plan with company matching.
  • Generous paid time off and holidays.
  • Wellness stipend for fitness, mental‑health resources, or home office setup.
  • Employee assistance program and counseling services.
  • Technology allowance for laptops, monitors, and peripherals.

How to Apply

If you are passionate about turning massive data sets into actionable insights and want to grow your career within a forward‑thinking financial technology leader, we want to hear from you. Join arenaflex and become part of a team that values creativity, technical excellence, and a relentless focus on customer impact.

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