Remote Big Data Engineer – Data Entry, Pipeline Development & Cloud Solutions at arenaflex – $28/hr Competitive Compensation

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 finances with confidence, speed, and security. As a technology‑first organization, arenaflex invests heavily in modern data platforms, AI‑driven analytics, and open‑source collaboration. We believe that great ideas come from diverse voices, and we foster an environment where curiosity, creativity, and continuous learning are celebrated.

Why This Role Matters

In today’s data‑driven economy, the ability to ingest, process, and analyze massive volumes of information in real time is a competitive advantage. As a Remote Big Data Engineer on our Data Entry and Pipeline team, you will be at the heart of arenaflex’s data ecosystem, building robust, scalable solutions that power everything from fraud detection to personalized customer experiences. Your work will directly influence the reliability, performance, and innovation of the services that millions of users rely on every day.

Key Responsibilities

• Design and develop end‑to‑end data pipelines that move terabytes of structured and unstructured data from source systems into our data lake and warehouse environments.
• Collaborate with product owners, data scientists, and senior architects to translate business requirements into technical specifications and scalable architectures.
• Write clean, maintainable, and testable code using Java, Python, or Scala, adhering to best practices such as code reviews, unit testing, and continuous integration.
• Automate testing and deployment processes with CI/CD pipelines (GitHub/Bitbucket, Jenkins, GitLab CI) to ensure rapid, reliable releases.
• Perform root‑cause analysis on production incidents, troubleshoot performance bottlenecks, and implement corrective actions to improve system stability.
• Optimize SQL, Hive, and PySpark queries for high‑throughput workloads, reducing latency and resource consumption.
• Implement data quality frameworks that validate, cleanse, and enrich incoming data streams, guaranteeing accuracy for downstream analytics.
• Mentor junior engineers and lead small agile squads, fostering a culture of knowledge sharing and continuous improvement.
• Contribute to open‑source initiatives within arenaflex, sharing reusable components and best‑practice documentation with the broader community.
• Stay ahead of emerging technologies such as cloud-native data services (GCP, AWS), streaming platforms (Kafka), and NoSQL databases (HBase, MongoDB) to recommend strategic enhancements.

Essential Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent professional experience).
• Minimum 3 years of hands‑on software development experience, with at least 2 years leading development teams or scrum squads.
• Proven expertise with big‑data technologies: Hadoop ecosystem, Hive, Spark (including PySpark), and data‑warehouse concepts.
• Strong command of relational databases and complex SQL query optimization (Hive, Spark‑SQL, DataFrames).
• Solid experience in UNIX/Linux shell scripting and automation.
• Demonstrated ability to design, build, and maintain large‑scale data pipelines for batch and real‑time processing.
• Experience working in a regulated financial environment is highly desirable.
• Excellent written and verbal communication skills, with the ability to articulate technical concepts to non‑technical stakeholders.

Preferred Skills & Technologies

• Advanced knowledge of cloud platforms (Google Cloud Platform or Amazon Web Services) and experience deploying data solutions in the cloud.
• Hands‑on experience with micro‑services architecture and containerization (Docker, Kubernetes).
• Familiarity with streaming technologies such as Apache Kafka, including building and managing Kafka streams.
• Version control expertise with GitHub or Bitbucket, and proficiency in setting up CI/CD pipelines.
• Exposure to NoSQL databases (HBase, Couchbase, MongoDB) and their integration with big‑data workflows.
• Understanding of data governance, security, and compliance standards within the financial services sector.
• Passion for open‑source contribution and community engagement.

Core Competencies for Success

• Analytical Mindset: Ability to dissect complex data problems, identify patterns, and devise efficient solutions.
• Leadership & Influence: Proven track record of guiding small teams, fostering collaboration, and driving results.
• Innovation & Curiosity: Eagerness to experiment with new tools, challenge the status quo, and propose forward‑thinking improvements.
• Detail‑Oriented Execution: Commitment to delivering high‑quality code, thorough documentation, and reliable deployments.
• Customer‑Centric Focus: Understanding how data pipelines impact end‑user experiences and business outcomes.
• Adaptability: Comfort working in a fast‑paced, ever‑changing environment while maintaining composure under pressure.

Career Growth & Learning Opportunities

arenaflex invests in your professional development. As a member of our data engineering team, you will have access to:

• Mentorship programs with senior architects and industry experts.
• Sponsored certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty).
• Internal hackathons and innovation labs where you can prototype new ideas.
• Regular technical talks, webinars, and workshops covering emerging trends in AI, machine learning, and data science.
• Opportunities to lead cross‑functional projects, expanding your influence beyond the data team.

Work Environment & Culture at arenaflex

Our remote‑first philosophy empowers you to work from anywhere in the United States while staying connected through collaborative tools, virtual coffee chats, and quarterly meet‑ups. arenaflex’s culture is built on three pillars:

• Transparency: Open communication channels, regular town‑halls, and clear visibility into company goals.
• Inclusivity: Diverse teams, employee resource groups, and a commitment to equitable growth.
• Innovation: A “fail fast, learn fast” mindset that encourages experimentation and rewards creative problem‑solving.

Our engineering spaces—both virtual and physical—are designed for flexibility, with dedicated time for deep work, pair programming sessions, and knowledge‑sharing circles.

Compensation, Perks & Benefits

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

• Health, dental, and vision insurance with employer contributions.
• 401(k) retirement plan with matching contributions.
• Generous paid time off, holidays, and sick leave.
• Flexible work schedule and remote‑work stipend for home‑office setup.
• Employee wellness program, including mental‑health resources and virtual fitness classes.
• Professional development budget for courses, conferences, and certifications.
• Recognition programs that celebrate technical excellence and teamwork.

How to Apply

If you are passionate about building data‑centric solutions that drive real business impact, thrive in a collaborative remote environment, and want to grow your career with a forward‑thinking financial technology leader, we want to hear from you. Join arenaflex’s #Teamarenaflex and help shape the future of digital finance.

Apply Job!