About arenaflex

Welcome to arenaflex – a global leader in innovation, athletic excellence, and transformative brand experiences. For decades, arenaflex has been at the forefront of redefining what's possible, outfitting the world's most accomplished athletes while simultaneously pushing the boundaries of technology, sustainability, and human potential. We don't just create products; we craft movements, inspire communities, and engineer the future of sports and wellness across the globe.

At arenaflex, we believe that greatness is built by those who dare to dream bigger, work smarter, and refuse to accept limitations. Our culture thrives on diversity, creative thinking, and an unwavering commitment to innovation. We look for individuals who can think beyond the ordinary, challenge conventions, and bring passion to every challenge they encounter. Whether you're an engineer, a designer, a marketer, or a data scientist, arenaflex offers a playground for your talents and a launchpad for your career.

Our commitment to our team members is unmatched. We invest heavily in professional development, foster an inclusive environment where every voice matters, and provide the tools and resources necessary for you to excel. Join us and become part of a legacy that touches every corner of the world – where your contributions directly impact how athletes perform, how fans engage, and how communities connect with the brands they love.

The Opportunity: Senior Data Engineer

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic Technology team. This is a exceptional opportunity to work at the intersection of big data, cloud computing, and business innovation. As a Senior Data Engineer at arenaflex, you will be instrumental in designing and implementing robust data infrastructure that powers critical business decisions, drives operational efficiency, and enables groundbreaking analytics capabilities across the organization.

This role offers the flexibility of remote work, allowing you to contribute to transformative projects from anywhere across the United States. You'll collaborate with talented professionals across multiple disciplines, including product owners, data analysts, business partners, and engineering leads, all united by a shared commitment to excellence and innovation.

What You'll Do: Key Responsibilities

As a Senior Data Engineer, you will be a key contributor to our data engineering practice, responsible for building and maintaining the foundations that enable data-driven decision-making at scale. Your responsibilities will include:

Architect Data Solutions: Design and implement scalable data processing capabilities in close collaboration with product owners, data analysts, and business partners using Agile/Scrum methodology to deliver value iteratively and efficiently.

Establish Standards and Frameworks: Contribute to the development of enterprise-wide architecture, frameworks, and standards for processing and storing massive data volumes, ensuring consistency, reliability, and performance across all data initiatives.

Build Distributed Processing Pipelines: Design and implement distributed data processing pipelines using industry-standard tools and languages within Hadoop and Cloud ecosystems, handling petabytes of data with grace and efficiency.

Develop Utilities and Functions: Construct utilities, user-defined functions, and reusable frameworks that enable streamlined data flow patterns, reducing redundancy and accelerating development cycles.

Orchestrate Workflows: Build and enhance process orchestration and scheduling systems to automate data workflows, ensuring timely processing and availability of critical data assets.

Evaluate Emerging Technologies: Research, evaluate, and leverage new technologies, tools, and frameworks focused on high-volume data processing, staying at the cutting edge of industry innovations and bringing best practices into the organization.

Define Data Strategies: Define and implement appropriate data acquisition and intake techniques for various technical scenarios, balancing performance, cost, and business requirements.

Ensure Quality Through Testing: Build and incorporate automated unit tests and participate in integration testing efforts to ensure data quality, reliability, and robustness of all deliverables.

Collaborate Across Teams: Work with architecture and engineering leads and other teams to ensure high-quality solutions are implemented, and engineering best practices are defined and adhered to throughout the organization.

Optimize Performance: Work across teams to diagnose and resolve operational and performance issues, ensuring systems meet SLA commitments and deliver exceptional user experiences.

What We're Looking For: Qualifications

Required Qualifications

To be considered for this role, you must possess:

A Master's Degree in Computer Science, Engineering, Computer Information Systems, Electronics and Communications, or a related Technology field.

A minimum of two (2) years of experience in data engineering or a closely related occupation, demonstrating progressive responsibility and technical depth.

Required Technical Skills and Experience

Your technical background must include hands-on expertise with:

Programming Languages: Proficiency in Python, Java, and Scala – must be able to write clean, efficient, and maintainable code for data processing applications.

Big Data Frameworks: Extensive experience with Hadoop, Hive, Spark, and Databricks for processing and analyzing large-scale datasets.

ETL Tools: Hands-on experience with Informatica and PLSQL for designing and implementing data extraction, transformation, and loading processes.

Scripting: Strong scripting capabilities in Unix and PowerShell for automation, system administration, and data manipulation tasks.

Database Technologies: Deep knowledge of Oracle, MySQL, SQL Server, Teradata, and Snowflake – understanding of schema design, query optimization, and data modeling.

AWS Services: Practical experience with Amazon Web Services ecosystem including EMR (Elastic MapReduce), S3 (Simple Storage Service), and Kinesis for real-time data streaming.

Analytics and Visualization Tools: Experience with Tableau and Cognos for building dashboards, reports, and data visualizations that drive business insights.

Streaming Frameworks: Expertise with Kafka and Spark Streaming for building real-time data pipelines and event-driven architectures.

Workflow Orchestration: Proficiency with Airflow and Autosys for scheduling, orchestrating, and managing complex data workflows.

Preferred Qualifications

While not required, the following qualifications will help you stand out:

Experience in the retail, consumer goods, or e-commerce industry.

Knowledge of machine learning workflows and MLOps practices.

Experience with containerization technologies like Docker and Kubernetes.

Understanding of data governance, security, and compliance requirements.

Strong communication skills with the ability to translate technical concepts for non-technical stakeholders.

Core Competencies for Success

Beyond technical skills, we look for candidates who demonstrate:

Analytical Thinking: The ability to approach complex problems systematically, break them down into manageable components, and develop elegant solutions.

Collaboration and Teamwork: A proven track record of working effectively in cross-functional teams, sharing knowledge, and mentoring junior team members.

Continuous Learning: A growth mindset with enthusiasm for staying current with emerging technologies and industry trends.

Ownership Mindset: Take personal responsibility for deliverables, quality, and outcomes – seeing projects through from conception to production.

Communication Excellence: Ability to articulate technical concepts clearly to diverse audiences, including executive leadership and business stakeholders.

Career Growth and Development

At arenaflex, your career trajectory is limited only by your ambition and drive. As a Senior Data Engineer, you'll have access to:

Professional Development Programs: Comprehensive training opportunities, certifications, and conferences to expand your technical skills and industry knowledge.

Career Advancement Paths: Clear progression routes to Lead Data Engineer, Principal Engineer, or Engineering Manager roles based on your interests and performance.

Mentorship Opportunities: Both receive mentorship from senior leaders and mentor junior engineers, fostering a culture of knowledge sharing.

Cross-Functional Exposure: Opportunities to work on projects spanning multiple business units, providing breadth of experience and understanding of the enterprise.

Innovation Time: Dedicated time to explore new technologies, prototype ideas, and contribute to the organization's innovation initiatives.

Work Environment and Culture

arenaflex fosters an environment where creativity, diversity, and excellence converge. Here's what you can expect:

Inclusive Culture

We believe that diverse teams build better products. arenaflex is committed to maintaining an inclusive workplace where differences are celebrated, and every individual feels valued and empowered to contribute their unique perspective.

Work-Life Balance

We understand that great work requires balance. Our flexible work arrangements, including remote and hybrid options, empower you to design a schedule that supports your productivity and personal well-being.

Collaborative Innovation

Our teams work in an environment that encourages experimentation, learning from failure, and celebrating successes. You'll be surrounded by passionate professionals who are committed to pushing boundaries and redefining what's possible.

Modern Tools and Technology

At arenaflex, we invest in cutting-edge technology stacks. You'll have access to the latest tools, cloud platforms, and development environments necessary to do your best work.

Compensation and Benefits

We recognize that exceptional talent deserves exceptional rewards. arenaflex offers a comprehensive compensation package that includes:

Competitive Salary: A market-competitive salary of $30 per hour (equivalent to approximately $62,400 annually), with eligibility for performance-based increases.

Health and Wellness: Comprehensive medical, dental, and vision coverage for you and your family.

Retirement Benefits: 401(k) plan with company matching to help you build financial security.

Paid Time Off: Generous vacation, sick leave, and holidays to recharge and maintain work-life balance.

Employee Discounts: Access to exclusive products and special offers across the arenaflex portfolio.

Parental Leave: Supportive parental leave policies for growing families.

Employee Assistance Program: Resources and support for personal and professional challenges.

Join the arenaflex Team

If you're ready to elevate your career, work with world-class talent, and contribute to an organization that truly makes a difference, we want to hear from you. At arenaflex, we don't just hire employees – we build teams of innovators, problem-solvers, and future leaders.

This is your opportunity to be part of something bigger. To apply your skills toward meaningful challenges. To grow, learn, and thrive in an environment that values your unique contributions. Bring your passion, expertise, and ambitions – and let's create the future together.

How to Apply: Ready to take the next step in your career? Click the link below to register your profile and submit your application. We can't wait to discover what you'll bring to arenaflex.

arenaflex is an equal opportunity employer. We welcome applicants from all backgrounds and consider qualified candidates regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or any other protected characteristic. We believe in creating a workplace where everyone can succeed and thrive.

Senior Data Engineer – Big Data Architecture, Cloud Platform Development & Distributed Systems (Remote Opportunity Available)