Experienced Big Data Engineer – Voice of Customer Analytics Platform Development (Remote) at arenaflex

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About arenaflex

At arenaflex, we believe in the power of data to transform businesses and create meaningful connections with customers. As a leading innovator in the financial services and technology sectors, we are committed to leveraging advanced analytics and cutting-edge big data technologies to deliver exceptional customer experiences. Our Voice of Customer (VOC) program is at the heart of our customer-centric strategy, and we are looking for a talented Big Data Engineer to join our dynamic analytics team.

When you join arenaflex, you become part of a forward-thinking organization that values innovation, collaboration, and excellence. We pride ourselves on fostering an inclusive workplace where diverse perspectives are celebrated, and every team member has the opportunity to make a significant impact. Our commitment to employee well-being extends beyond the workplace—we support the holistic health of our colleagues and their families through comprehensive programs that address physical, financial, and intellectual wellness at every stage of life.

Role Overview

We are currently seeking an experienced Big Data Engineer to design, build, and maintain our Voice of Customer analytics platform. This is a remote position offering competitive compensation of $35 per hour, with the flexibility to work from anywhere in the United States. In this role, you will work closely with cross-functional teams to transform raw customer data into actionable insights that drive business decisions and improve customer satisfaction.

This position offers an exciting opportunity to work with massive datasets and emerging technologies while contributing to a program that directly influences how arenaflex understands and serves its customers. You will be responsible for developing robust data architectures, implementing efficient processing pipelines, and ensuring data quality across our big data ecosystem.

Key Responsibilities

• Collaborate with Utility Teams: Work closely with business stakeholders and utility teams to understand, define, body, and capture commercial enterprise needs. Translate functional requirements into technical specifications and data solutions that meet business objectives.
• Voice of Customer (VOC) Analytics: Develop and maintain a deep understanding of Voice of Customer methodologies. Leverage these insights to design and transform data within our cornerstone big data platform, ensuring accurate representation of customer feedback and sentiments.
• Data Architecture Design: Design and build robust data model architectures that support optimal data processing and standardized metric definitions. Create scalable structures that enable efficient analysis and reporting across multiple use cases.
• Big Data Solution Development: Implement big data and batch/real-time analytical solutions using transformational technologies including Hadoop, HDFS, MapReduce, Hive, Spark, and Python. Deliver innovative solutions that ensure data quality and accuracy through intensive testing at variable and use case levels.
• Performance Optimization: Provide pointers and recommendations to enhance competencies and drive efficiency in computing programs using the massive data ecosystem. Identify bottlenecks and implement improvements to optimize system performance.
• Consumer Tale Analysis: Power consumer tale analysis and elaboration, including the design and development of software programs. Conduct testing and build automation tools that streamline data processing workflows.
• Process Automation: Proactively identify and automate manual tasks to improve quality and operational efficiency. Reduce manual intervention through intelligent automation solutions that enhance productivity and accuracy.
• Cross-Functional Collaboration: Work carefully with partners from various business units to prioritize, define, increase, and test data for different use cases as part of the VOC end-to-end process. Ensure seamless integration between technical solutions and business requirements.

Essential Qualifications

• Technical Experience: Minimum 3 years of hands-on development experience with Hive/Hadoop, PySpark, Python, and Shell Scripting languages. Strong understanding of development lifecycle management and troubleshooting for data-driven projects.
• Stakeholder Collaboration: Demonstrated ability to actively collaborate with relationship managers and product owners to understand functional requirements and convert them into technical deliverables. Excellent communication skills to bridge the gap between technical and business teams.
• Agile Methodology: Familiarity with Agile methodologies of delivery, with experience in working in environments where small increments of a product are introduced at regular intervals to business groups. Ability to adapt to changing priorities and deliver incremental value.
• Data Quality Focus: Strong commitment to data quality and accuracy, with experience in implementing testing protocols and validation processes to ensure reliable outputs.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities to address complex data challenges and develop innovative solutions.

Preferred Qualifications

• Experience with real-time streaming data processing frameworks beyond the standard big data ecosystem


• Knowledge of cloud platforms and their big data services


• Background in financial services or customer experience analytics


• Understanding of machine learning concepts and their application in customer analytics


• Experience with data visualization tools and techniques


• Previous work with Voice of Customer programs or customer feedback systems

Required Skills and Competencies

• Technical Proficiency: Strong command of big data technologies including Hadoop ecosystem components, Spark, Python, and scripting languages. Ability to write efficient code and optimize data processing workflows.
• Communication Skills: Exceptional written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Capable of creating clear documentation and presentations.
• Multitasking and Prioritization: Ability to manage multiple projects simultaneously while maintaining attention to detail and meeting deadlines in a fast-paced environment.
• Adaptability: Flexible availability to work varying shifts as needed and adapt to evolving project requirements and technology landscapes.
• Self-Motivation: Proactive approach to identifying improvements and taking ownership of deliverables with minimal supervision.

Career Growth and Learning Opportunities

At arenaflex, we are deeply committed to the professional development of our team members. This role offers numerous opportunities for career advancement and skill enhancement:

• Technical Leadership Paths: Grow into technical lead or principal engineer roles where you can guide architecture decisions and mentor junior team members.
• Specialization Opportunities: Develop expertise in specific big data domains such as real-time streaming, machine learning integration, or data governance.
• Cross-Functional Exposure: Gain experience working with various business units, expanding your understanding of different domains within the financial services industry.
• Training and Certification Support: Access comprehensive training resources and support for obtaining industry-recognized certifications in big data technologies.
• Innovation Participation: Opportunity to contribute to innovation initiatives and pilot new technologies that shape the future of our analytics platform.

Work Environment and Culture

As a remote employee at arenaflex, you will enjoy the flexibility of working from home while remaining connected to a collaborative team environment. We believe in maintaining strong virtual connections through regular team meetings, transparent communication channels, and ongoing collaboration tools.

Our culture emphasizes trust, accountability, and results-oriented work. We provide the tools and resources you need to succeed, including access to cutting-edge technology, comprehensive onboarding, and continuous support from your team and leadership. At arenaflex, we return our colleagues and their families with blessings and programs that support their holistic well-being, which means we prioritize their physical, financial, and intellectual health through each stage of their career and life.

Compensation and Benefits

We recognize that our people are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits:

• Competitive Hourly Rate: $35 per hour with potential for performance-based adjustments
• Remote Work Flexibility: Work from the comfort of your home office with flexible scheduling options
• Comprehensive Benefits Package: Eligibility for healthcare coverage, including medical, dental, and vision plans
• Retirement Planning: Access to retirement plans and financial planning resources
• Paid Time Off: Generous paid time off policies to support work-life balance
• Employee Assistance Program: Resources to support personal and professional challenges
• Professional Development: Access to training programs, certifications, and career development resources

How to Apply

If you are passionate about data engineering, excited about working with cutting-edge big data technologies, and want to make a meaningful impact on customer experience at a leading organization, we would love to hear from you!

This is an excellent opportunity to join a team that values innovation, collaboration, and employee well-being. Apply now to take the first step toward a rewarding career with arenaflex. We are committed to building a diverse and inclusive workforce, and we encourage candidates from all backgrounds to apply.

Join our team today and become part of a company that is transforming the way businesses understand and serve their customers through the power of data!