Remote Data Engineer – Big Data Pipeline Development & Cloud Analytics (arenaflex) – $27/hr – Fully Remote, Flexible Schedule

About arenaflex

arenaflex is a global leader in performance‑driven apparel, footwear, and digital experiences. With a heritage of pushing the limits of sport and technology, arenaflex blends cutting‑edge data science with a culture that celebrates creativity, diversity, and relentless ambition. Our mission is to empower athletes and everyday innovators alike by turning data into actionable insight, fueling product breakthroughs, and delivering unforgettable experiences to millions of customers worldwide.

Why This Role Matters

As a Remote Data Engineer at arenaflex, you will be at the heart of our data‑centric transformation. You’ll design, build, and maintain large‑scale data pipelines that power everything from product development to personalized marketing. Your work will directly influence how arenaflex anticipates trends, optimizes supply chains, and creates the next generation of sport‑driven technology.

Key Responsibilities

• Design, develop, and operationalize end‑to‑end data processing pipelines using Spark, Hive, and Python on AWS EMR and Databricks.
• Collaborate with product owners, data analysts, and business partners to translate product backlog items into scalable engineering solutions.
• Contribute to the overall data architecture, establishing standards, frameworks, and best practices for big‑data processing.
• Evaluate emerging technologies, tools, and frameworks to continuously improve data ingestion, storage, and analytics capabilities.
• Build reusable libraries, user‑defined functions, and custom tools that accelerate data flow patterns across the organization.
• Implement automated unit tests, integration tests, and CI/CD pipelines to ensure high‑quality, reliable releases.
• Perform root‑cause analysis on data anomalies, troubleshoot performance bottlenecks, and work with cross‑functional teams to resolve operational issues.
• Maintain comprehensive documentation of data models, pipeline architecture, and operational procedures.
• Participate in agile ceremonies, sprint planning, and retrospectives to continuously improve delivery velocity.
• Support mentorship of junior engineers and contribute to a culture of knowledge sharing and continuous learning.

Essential Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s degree is a plus).
• Minimum of 2 years of professional experience in data engineering, big‑data processing, or a closely related role.
• Proficiency with Apache Spark, Hive, and Python for data transformation and analysis.
• Hands‑on experience with AWS services (especially EMR, S3, and Redshift) and Databricks.
• Solid understanding of data structures, algorithms, and software engineering fundamentals.
• Experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, or AWS CodePipeline.
• Ability to write clean, maintainable, and well‑documented code, and to conduct thorough code reviews.
• Strong problem‑solving skills with a track record of diagnosing and fixing complex data issues.
• Excellent communication skills, both written and verbal, to convey technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Experience with Apache Airflow for workflow orchestration.
• Familiarity with Hadoop ecosystem components (HDFS, YARN, etc.).
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Exposure to machine‑learning pipelines and model deployment in a production environment.
• Previous work in a remote or distributed team setting, demonstrating self‑discipline and effective time management.
• Certifications related to AWS, data engineering, or big‑data technologies.

Core Skills & Competencies

• Technical Acumen: Deep expertise in big‑data tools, cloud platforms, and software engineering best practices.
• Collaboration: Ability to partner with product, analytics, and engineering teams to deliver data solutions that meet business goals.
• Analytical Mindset: Strong analytical thinking to interpret data patterns, identify opportunities, and propose data‑driven strategies.
• Adaptability: Comfort working in a fast‑paced, ever‑evolving environment where priorities shift quickly.
• Ownership: Proactive attitude toward taking responsibility for end‑to‑end delivery, from design through production support.
• Continuous Learning: Commitment to staying current with industry trends, emerging tools, and best practices.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As a Remote Data Engineer, you will have access to:

• Mentorship programs pairing you with senior data architects and industry experts.
• Annual learning stipend for conferences, certifications, or online courses.
• Internal hackathons and innovation challenges that encourage creative problem‑solving.
• Opportunities to transition into senior engineering, data‑science leadership, or product‑focused roles as you expand your skill set.

Culture & Work Environment

arenaflex fosters an inclusive, high‑energy culture where curiosity is celebrated and diverse perspectives drive innovation. Our remote workforce enjoys:

• Flexible work hours that respect personal rhythms and time zones.
• A collaborative digital workspace equipped with state‑of‑the‑art communication tools.
• Regular virtual “culture days,” wellness challenges, and community‑building activities.
• Employee Resource Groups (ERGs) that support affinity networks, professional growth, and community outreach.
• A commitment to sustainability, with initiatives that let you contribute to environmentally responsible projects.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your expertise and the value you bring to the organization. While exact figures are tailored to experience, the following benefits are standard for all full‑time remote employees:

• Health, Dental, and Vision Insurance: Comprehensive coverage with options for dependents.
• Wellness Programs: Access to virtual fitness classes, mental‑health resources, and wellness stipends.
• Employee Assistance Program (EAP): Confidential counseling and support services for you and your family.
• Retirement Savings: 401(k) plan with company matching contributions.
• Paid Time Off (PTO) & Holidays: Generous vacation days, paid holidays, and sick leave.
• Parental Leave: Paid maternity and paternity leave to support new families.
• Flexible Work Arrangements: Remote‑first policy with occasional optional on‑site meet‑ups.
• Professional Development: Tuition assistance, training programs, and career‑advancement pathways.
• Employee Discounts: Exclusive discounts on arenaflex products and apparel.
• Recognition Programs: Awards and bonuses for outstanding performance and innovation.
• Travel Benefits: Reimbursement for work‑related travel and access to discounted travel services.
• On‑Site Amenities (where applicable): Gyms, cafés, and collaborative spaces at select arenaflex locations.
• Sustainability Initiatives: Participation in green projects and volunteer opportunities.

Eligibility & Location

This remote position is open to candidates located anywhere in the United States except the following states: AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. All applicants must meet the educational and experience requirements outlined above.

How to Apply

If you are ready to join a forward‑thinking, data‑driven organization that values imagination, diversity, and impact, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter outlining why you are the perfect fit for this role at arenaflex.

Apply Now – Join arenaflex!

Closing Statement

At arenaflex, your technical expertise will be amplified by a supportive community, cutting‑edge tools, and a mission that inspires millions. Take the next step in your career and help shape the future of sport, technology, and data. Apply today and become part of a team that dares to dream, innovate, and achieve.