Senior Data Engineer – Big Data Processing, Cloud Infrastructure & Distributed Systems Development

Join arenaflex as a Senior Data Engineer

At arenaflex, we don't just build products—we transform industries. We are a global leader in innovation, constantly pushing the boundaries of what's possible in technology, sports, and beyond. Our mission is to empower athletes and creators worldwide with cutting-edge solutions that enhance performance, inspire creativity, and unlock human potential. If you're ready to be part of a dynamic team that values imagination, diversity, and excellence, we invite you to explore a career with arenaflex.

Are you passionate about data? Do you thrive on building scalable data pipelines that power critical business decisions? Are you excited by the challenge of working with massive datasets and emerging technologies? If so, we have an incredible opportunity for you to join our engineering team as a Senior Data Engineer.

About the Role

At arenaflex, data is at the heart of everything we do. Our data infrastructure powers insights that drive product innovation, customer experiences, and strategic decisions across the organization. We're looking for a talented and motivated Data Engineer to design, build, and optimize our data processing platforms. In this role, you'll collaborate with cross-functional teams including product owners, data analysts, and business partners to deliver robust data solutions that scale.

You'll be responsible for contributing to the overall architecture, frameworks, and standards for processing and evaluating big data. This includes evaluating new technologies, tools, and frameworks aimed at processing large volumes of data efficiently. You'll translate product backlog items into logical units of engineering work and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem.

Key Responsibilities

• Design and Implementation: Design and implement data products and features in collaboration with product owners, data analysts, and business partners to meet business objectives and analytical needs.


• Architecture Development: Contribute to the overall architecture, frameworks, and standards for processing and evaluating big data, ensuring scalability, reliability, and performance.


• Technology Evaluation: Evaluate new technologies, tools, and frameworks aimed at processing large volumes of data, recommending improvements and innovations.


• Pipeline Development: Translate product backlog items into logical units of engineering work and implement distributed data processing pipelines using modern big data technologies.


• Tool and Framework Development: Build tools, user-defined functions, libraries, and frameworks to better enable data flow patterns across the organization.


• Collaboration: Collaborate with engineering leads and other teams to ensure quality solutions are implemented and technical best practices are defined and followed.


• Testing and Quality Assurance: Create and participate in automated unit tests and participate in integration tests to ensure data integrity and system reliability.


• CI/CD Implementation: Use and extend continuous integration and deployment frameworks to streamline development workflows.


• Troubleshooting and Analysis: Troubleshoot data issues and perform root cause analysis to resolve operational and performance issues efficiently.


• Team Problem-Solving: Work in teams to resolve operational and performance issues, contributing to a culture of continuous improvement.

Required Qualifications

• Master's degree in Computer Science, Information Technology, or Computer Information Systems from an accredited institution.


• At least 2 years of professional experience in data engineering, big data development, or a related technical position.


• Strong proficiency in programming languages such as Python, Scala, or Java.


• Extensive experience with big data technologies including Apache Spark, Apache Hive, and Hadoop ecosystem tools.


• Hands-on experience with cloud platforms, particularly Amazon Web Services (AWS) including EMR, Lambda, and other managed services.


• Knowledge of data pipeline orchestration tools such as Apache Airflow.


• Experience with data processing platforms like Databricks.


• Strong understanding of data structures, algorithms, and software design principles.


• Proficiency in implementing automated unit testing and CI/CD pipelines.


• Experience creating data feeds and data integration solutions.


• Excellent problem-solving skills and the ability to troubleshoot complex data issues.


• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Preferred Qualifications

• Experience with real-time streaming data processing frameworks such as Apache Kafka or Apache Flink.


• Knowledge of data warehousing solutions and modern data architecture patterns like data lakehouse.


• Familiarity with containerization technologies such as Docker and Kubernetes.


• Experience with machine learning pipelines and MLOps practices.


• Understanding of data governance, data quality, and metadata management.


• Experience working in agile development environments.


• Industry certifications in cloud platforms (AWS, Azure, or Google Cloud).

Technical Skills Required

• Apache Spark


• Apache Hive


• Python


• Amazon Web Services (AWS)


• Apache Airflow


• AWS EMR


• Databricks


• Hadoop


• Data Structures and Algorithms


• Automated Unit Testing


• CI/CD Pipelines


• Data Feed Creation

Work Environment and Culture

At arenaflex, we believe that great ideas come from everywhere. Our culture thrives on embracing diversity and rewarding imagination. We're committed to creating an inclusive environment where every team member can bring their authentic self to work. We value different perspectives, backgrounds, and experiences, recognizing that they make us stronger as an organization.

Innovation is at the core of everything we do. We encourage our employees to think beyond conventional boundaries, challenge the status quo, and explore new possibilities. As a Data Engineer at arenaflex, you'll have the opportunity to work on complex technical challenges, collaborate with brilliant minds across the organization, and make a meaningful impact on how data drives our business.

We support flexible work arrangements, allowing eligible employees to work remotely from locations where available. Our telecommunications infrastructure enables collaboration across the United States, fostering a virtual-first approach while maintaining strong team connections.

Career Growth and Development

Your career journey at arenaflex is what you make of it. We invest heavily in professional development and provide numerous opportunities for skill enhancement and career advancement. Whether you're looking to deepen your technical expertise in big data architectures, expand into machine learning and AI, or move into leadership roles, we're committed to supporting your growth.

You'll have access to comprehensive training programs, mentorship opportunities, and the chance to work on cutting-edge projects that will expand your skill set. Our tuition assistance program supports eligible employees pursuing further education, helping you achieve your academic and professional goals.

Compensation and Benefits

At arenaflex, we recognize that our people are our greatest asset. We offer competitive compensation packages that reflect your skills, experience, and contributions. In addition to competitive base pay, we provide a comprehensive benefits package designed to support your health, wealth, and well-being.

Health and Wellness: We offer comprehensive health, dental, and vision insurance coverage. Our wellness programs provide access to exercise and wellness initiatives to promote a healthy lifestyle. An Employee Assistance Program (EAP) provides confidential counseling services and resources for employees and their families.

Retirement Benefits: We help you plan for the future with 401(k) retirement savings plans and company contributions. Some employees may also qualify for traditional retirement plans.

Paid Time Off: We believe in the importance of rest and rejuvenation. Enjoy paid holidays, personal days, and sick leave to protect your health and maintain work-life balance.

Parental Support: We support new parents with generous paid parental leave options.

Employee Perks: Enjoy employee discounts on arenaflex products and apparel. Our employee recognition programs celebrate outstanding performance and contributions.

Professional Development: Take advantage of training and development opportunities, tuition assistance, and career advancement programs.

Community and Inclusion: Join our Employee Resource Groups (ERGs) that provide opportunities for support, networking, and community involvement for employees with similar interests or backgrounds.

Sustainability: Be part of our commitment to sustainability and participate in projects related to environmental responsibility.

On-Site Amenities: Select arenaflex locations offer on-site amenities such as state-of-the-art gyms, cafes, and entertainment venues.

Location and Remote Work

This position is based in Beaverton, OR, with flexibility for remote work arrangements. Our telecommunications infrastructure supports remote collaboration across most of the United States, enabling you to work from locations where we have operational coverage.

Join the arenaflex Team

At arenaflex, it's about everyone who brings skill and passion to a challenging and ever-evolving landscape. We're looking for achievers, leaders, and visionaries who can grow, think, dream, and do. If you're ready to take your career to the next level and make an impact at a global innovator, we encourage you to apply.

This is your opportunity to be part of something bigger. You'll work alongside talented professionals, tackle exciting technical challenges, and help shape the future of data engineering at arenaflex. We can't wait to see what you'll bring to our team.

Apply today and start your journey with arenaflex—where imagination meets innovation.