Experienced Big Data Engineer – Voice of Customer Analytics & Hadoop/Spark Development (Remote)
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Join arenaflex as a Big Data Engineer – Voice of Customer Analytics
Are you ready to transform raw data into powerful business insights? Do you have a passion for building robust data architectures and leveraging cutting-edge big data technologies to drive organizational excellence? If so, arenaflex invites you to join our dynamic team as a Big Data Engineer specializing in Voice of Customer (VOC) Analytics. This is a fully remote position offering competitive compensation, exceptional growth opportunities, and the chance to make a meaningful impact within a globally recognized financial services organization.
At arenaflex, we believe that data is the foundation of exceptional customer experiences. Our Voice of Customer program captures millions of customer interactions daily, and we're looking for a talented Big Data Engineer to help us harness this wealth of information. You'll work alongside cross-functional teams to design, build, and maintain the data infrastructure that powers our customer insights engine.
What You'll Do
As a Big Data Engineer at arenaflex, you will play a critical role in shaping how we understand and serve our customers. Your technical expertise will be instrumental in building the data backbone that drives customer-centric decision-making across the organization. Here's what you can expect:
Data Architecture & Modeling
Design and implement robust data model architectures that support efficient data processing and standardized metric definitions across the enterprise
Create scalable data structures within our cornerstone big data platform to ensure optimal performance and data integrity
Collaborate closely with business stakeholders to translate complex business requirements into technical data solutions
Establish data governance frameworks and best practices for data quality management
Big Data Technology Development
Build and maintain big data and batch/real-time analytical solutions using transformational technologies including Hadoop, HDFS, MapReduce, Hive, Spark, and Python
Develop innovative data processing pipelines that transform raw customer feedback into actionable insights
Ensure data quality and accuracy through comprehensive testing at variable and use-case levels
Optimize existing data workflows for performance, scalability, and cost-efficiency
Voice of Customer Program Support
Expand and enhance our Voice of Customer data collection methods and analytical capabilities
Work closely with partners across the organization to prioritize, define, develop, and test data solutions for various VOC use cases
Transform customer feedback data into strategic insights that inform product development and service improvements
Support the end-to-end VOC process from data collection to insight generation
Automation & Process Improvement
Proactively identify and automate manual data processes to improve quality and operational efficiency
Develop automation tools and scripts using Python, Shell scripting, and other technologies
Provide recommendations to enhance capabilities and drive efficiency in computing systems using our big data ecosystem
Create documentation and knowledge base materials for data processes and solutions
Collaboration & Stakeholder Engagement
Partner effectively with product owners and relationship managers to understand functional requirements and convert them into technical deliverables
Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives
Communicate technical concepts clearly to non-technical stakeholders
Mentor junior team members on best practices in big data engineering
What We're Looking For
We're seeking a candidate who combines strong technical skills with excellent communication abilities and a collaborative spirit. The ideal candidate will thrive in a fast-paced, innovative environment and be passionate about using data to drive business outcomes.
Essential Qualifications
3+ years of hands-on experience with big data technologies including Hive/Hadoop, PySpark, Python, and Shell scripting
Proven experience with development lifecycle management and troubleshooting for data-driven projects
Strong understanding of Agile methodologies with the ability to deliver incremental product improvements at regular intervals
Demonstrated ability to collaborate effectively with business stakeholders and product owners
Experience translating functional requirements into technical deliverables
Excellent problem-solving skills and the ability to debug complex data issues
Strong attention to data quality and accuracy
Preferred Qualifications
Experience in the financial services or fintech industry
Knowledge of real-time streaming data processing frameworks
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Experience with data visualization tools (Tableau, Power BI, or similar)
Understanding of machine learning concepts and their application to customer data
Experience with VOC or customer feedback analytics programs
Key Competencies
Strong analytical thinking and the ability to approach complex problems systematically
Excellent verbal and written communication skills
Ability to multitask and prioritize in a dynamic, fast-paced environment
Self-motivated with the ability to work independently and as part of a distributed team
Commitment to continuous learning and professional development
Why Join arenaflex?
At arenaflex, we know that our greatest asset is our people. We're committed to creating an inclusive workplace where every team member can thrive, grow, and contribute to something meaningful. When you join our team, you become part of a community that values innovation, integrity, and delivering exceptional experiences to our customers.
Competitive Compensation
Industry-leading hourly rate of $35 per hour
Performance-based bonuses and incentives
Comprehensive benefits package including health, dental, and vision insurance
401(k) retirement plan with company matching
Paid time off and holidays
Remote Work Flexibility
Work from the comfort of your home office anywhere in the USA
Flexible scheduling options to accommodate different time zones
Home office stipend for equipment and supplies
Collaborative virtual work environment with modern communication tools
Career Development
Access to extensive training and professional development resources
Clear pathways for career advancement within the organization
Exposure to cutting-edge big data technologies and methodologies
Mentorship from senior technical leaders
Internal mobility opportunities across departments
Wellness & Work-Life Balance
We prioritize your holistic well-being—physical, financial, and mental health
Comprehensive wellness programs and resources
Employee assistance program (EAP) for personal and professional challenges
Supportive parental leave and family planning resources
Flexible leave policies that respect your need for work-life integration
Inclusive Culture
Join a diverse team that celebrates different perspectives and backgrounds
Participate in employee resource groups and cultural celebrations
Company-wide initiatives that promote equity and belonging
Community volunteer opportunities and giving programs
The Application Process
Ready to take the next step in your career? We can't wait to learn more about you and how your skills can contribute to our team. Our application process is designed to be thorough yet respectful of your time.
Submit your application – Complete our online application form with your resume and relevant experience
Initial review – Our recruiting team will review your qualifications and reach out if you're a strong match
Technical interview – Demonstrate your big data expertise in a technical assessment
Team conversation – Meet with potential teammates and stakeholders
Final decision – Receive an offer and join the arenaflex family!
Ready to Make an Impact?
If you're passionate about data engineering, excited by the opportunity to work with cutting-edge technologies, and want to be part of a team that's transforming how a global organization understands its customers, we encourage you to apply today.
At arenaflex, we believe that great things happen when talented people come together to solve complex challenges. Your expertise in big data engineering can help us create more personalized, responsive, and meaningful experiences for millions of customers around the world.
Don't miss this opportunity to grow your career with a company that values innovation, integrity, and its people. Apply now to join our team and become part of something extraordinary!
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Join arenaflex as a Big Data Engineer – Voice of Customer Analytics
Are you ready to transform raw data into powerful business insights? Do you have a passion for building robust data architectures and leveraging cutting-edge big data technologies to drive organizational excellence? If so, arenaflex invites you to join our dynamic team as a Big Data Engineer specializing in Voice of Customer (VOC) Analytics. This is a fully remote position offering competitive compensation, exceptional growth opportunities, and the chance to make a meaningful impact within a globally recognized financial services organization.
At arenaflex, we believe that data is the foundation of exceptional customer experiences. Our Voice of Customer program captures millions of customer interactions daily, and we're looking for a talented Big Data Engineer to help us harness this wealth of information. You'll work alongside cross-functional teams to design, build, and maintain the data infrastructure that powers our customer insights engine.
What You'll Do
As a Big Data Engineer at arenaflex, you will play a critical role in shaping how we understand and serve our customers. Your technical expertise will be instrumental in building the data backbone that drives customer-centric decision-making across the organization. Here's what you can expect:
Data Architecture & Modeling
Design and implement robust data model architectures that support efficient data processing and standardized metric definitions across the enterprise
Create scalable data structures within our cornerstone big data platform to ensure optimal performance and data integrity
Collaborate closely with business stakeholders to translate complex business requirements into technical data solutions
Establish data governance frameworks and best practices for data quality management
Big Data Technology Development
Build and maintain big data and batch/real-time analytical solutions using transformational technologies including Hadoop, HDFS, MapReduce, Hive, Spark, and Python
Develop innovative data processing pipelines that transform raw customer feedback into actionable insights
Ensure data quality and accuracy through comprehensive testing at variable and use-case levels
Optimize existing data workflows for performance, scalability, and cost-efficiency
Voice of Customer Program Support
Expand and enhance our Voice of Customer data collection methods and analytical capabilities
Work closely with partners across the organization to prioritize, define, develop, and test data solutions for various VOC use cases
Transform customer feedback data into strategic insights that inform product development and service improvements
Support the end-to-end VOC process from data collection to insight generation
Automation & Process Improvement
Proactively identify and automate manual data processes to improve quality and operational efficiency
Develop automation tools and scripts using Python, Shell scripting, and other technologies
Provide recommendations to enhance capabilities and drive efficiency in computing systems using our big data ecosystem
Create documentation and knowledge base materials for data processes and solutions
Collaboration & Stakeholder Engagement
Partner effectively with product owners and relationship managers to understand functional requirements and convert them into technical deliverables
Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives
Communicate technical concepts clearly to non-technical stakeholders
Mentor junior team members on best practices in big data engineering
What We're Looking For
We're seeking a candidate who combines strong technical skills with excellent communication abilities and a collaborative spirit. The ideal candidate will thrive in a fast-paced, innovative environment and be passionate about using data to drive business outcomes.
Essential Qualifications
3+ years of hands-on experience with big data technologies including Hive/Hadoop, PySpark, Python, and Shell scripting
Proven experience with development lifecycle management and troubleshooting for data-driven projects
Strong understanding of Agile methodologies with the ability to deliver incremental product improvements at regular intervals
Demonstrated ability to collaborate effectively with business stakeholders and product owners
Experience translating functional requirements into technical deliverables
Excellent problem-solving skills and the ability to debug complex data issues
Strong attention to data quality and accuracy
Preferred Qualifications
Experience in the financial services or fintech industry
Knowledge of real-time streaming data processing frameworks
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
Experience with data visualization tools (Tableau, Power BI, or similar)
Understanding of machine learning concepts and their application to customer data
Experience with VOC or customer feedback analytics programs
Key Competencies
Strong analytical thinking and the ability to approach complex problems systematically
Excellent verbal and written communication skills
Ability to multitask and prioritize in a dynamic, fast-paced environment
Self-motivated with the ability to work independently and as part of a distributed team
Commitment to continuous learning and professional development
Why Join arenaflex?
At arenaflex, we know that our greatest asset is our people. We're committed to creating an inclusive workplace where every team member can thrive, grow, and contribute to something meaningful. When you join our team, you become part of a community that values innovation, integrity, and delivering exceptional experiences to our customers.
Competitive Compensation
Industry-leading hourly rate of $35 per hour
Performance-based bonuses and incentives
Comprehensive benefits package including health, dental, and vision insurance
401(k) retirement plan with company matching
Paid time off and holidays
Remote Work Flexibility
Work from the comfort of your home office anywhere in the USA
Flexible scheduling options to accommodate different time zones
Home office stipend for equipment and supplies
Collaborative virtual work environment with modern communication tools
Career Development
Access to extensive training and professional development resources
Clear pathways for career advancement within the organization
Exposure to cutting-edge big data technologies and methodologies
Mentorship from senior technical leaders
Internal mobility opportunities across departments
Wellness & Work-Life Balance
We prioritize your holistic well-being—physical, financial, and mental health
Comprehensive wellness programs and resources
Employee assistance program (EAP) for personal and professional challenges
Supportive parental leave and family planning resources
Flexible leave policies that respect your need for work-life integration
Inclusive Culture
Join a diverse team that celebrates different perspectives and backgrounds
Participate in employee resource groups and cultural celebrations
Company-wide initiatives that promote equity and belonging
Community volunteer opportunities and giving programs
The Application Process
Ready to take the next step in your career? We can't wait to learn more about you and how your skills can contribute to our team. Our application process is designed to be thorough yet respectful of your time.
Submit your application – Complete our online application form with your resume and relevant experience
Initial review – Our recruiting team will review your qualifications and reach out if you're a strong match
Technical interview – Demonstrate your big data expertise in a technical assessment
Team conversation – Meet with potential teammates and stakeholders
Final decision – Receive an offer and join the arenaflex family!
Ready to Make an Impact?
If you're passionate about data engineering, excited by the opportunity to work with cutting-edge technologies, and want to be part of a team that's transforming how a global organization understands its customers, we encourage you to apply today.
At arenaflex, we believe that great things happen when talented people come together to solve complex challenges. Your expertise in big data engineering can help us create more personalized, responsive, and meaningful experiences for millions of customers around the world.
Don't miss this opportunity to grow your career with a company that values innovation, integrity, and its people. Apply now to join our team and become part of something extraordinary!
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.