Remote Senior Data Engineer – arenaflex Data Platform, Cloud & Analytics – $25/hr

About arenaflex – Pioneering Data‑Driven Innovation

arenaflex is a global leader in consumer‑goods and technology‑enabled solutions, delivering everyday products that touch millions of lives. With a relentless focus on data‑powered decision making, arenaflex invests heavily in modern data platforms, advanced analytics, and AI‑driven insights to stay ahead of market trends. Our mission is to turn raw data into actionable intelligence that fuels growth, improves operational efficiency, and creates delightful experiences for customers worldwide. As a remote‑first organization, arenaflex embraces flexible work arrangements, collaborative cultures, and continuous learning, empowering employees to thrive from any location.

Position Overview – Senior Data Engineer (Remote)

arenaflex is seeking a highly skilled Senior Data Engineer to join our Information Designing Group. In this role, you will be the technical architect behind arenaflex’s data product pipelines, responsible for designing, building, and scaling robust data solutions that serve critical business domains such as finance, supply chain, retail, and product development. You will work closely with product owners, data scientists, and business stakeholders to translate complex requirements into reliable, high‑performance data architectures that enable analytics, reporting, AI, and machine‑learning initiatives across the enterprise.

Key Responsibilities

• Design & Build Data Pipelines: Create end‑to‑end data ingestion, transformation, and loading pipelines that move data from on‑premise and cloud sources into arenaflex’s Data Lake.
• Automation & Monitoring: Develop automated testing, validation, and alerting frameworks to ensure data quality, reliability, and performance at scale.
• Cloud Architecture: Lead the migration and optimization of large‑scale data workloads to arenaflex cloud environments, ensuring cost‑effective, secure, and resilient deployments.
• Collaboration & Stakeholder Management: Partner with internal clients (data science, product, and business teams) to drive solutioning, proof‑of‑concepts, and roadmap alignment.
• Productionalize ML Models: Work with data scientists to operationalize machine‑learning models, turning prototypes into production‑ready services.
• SLA Definition & Management: Define, track, and meet service‑level agreements for data products, ensuring uptime and performance targets are consistently achieved.
• Documentation & Knowledge Sharing: Produce clear documentation of data flows, architecture decisions, and best practices; mentor junior engineers and promote a culture of continuous learning.
• Research & Innovation: Stay current with emerging data technologies, evaluate their fit for arenaflex, and champion adoption of cutting‑edge solutions.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline.
• 2+ years of hands‑on experience with Data Lake architectures, data warehousing, and analytics tools.
• 2+ years of professional experience developing SQL queries, performance tuning, and programming in Python, PySpark, or Scala.
• 2+ years of cloud data engineering experience with arenaflex cloud services (formerly Azure).
• Proficiency in building high‑volume ETL/ELT pipelines and data profiling/quality tools such as Apache Griffin, Deequ, and Great Expectations.
• Experience with MPP data warehouse technologies (e.g., arenaflex, Neural Network, or arenaflex).
• Hands‑on experience containerizing workloads with arenaflex and orchestrating them using arenaflex.
• Familiarity with version‑control systems (arenaflex) and CI/CD pipelines.
• Understanding of metadata management, data lineage, and data catalog concepts.
• Strong communication skills—both written and verbal—with the ability to influence senior leadership.

Preferred Qualifications & Additional Skills

• Advanced degree (M.S. or Ph.D.) in a quantitative field.
• arenaflex certification(s) or equivalent cloud credentials.
• Experience integrating multi‑cloud services with on‑premise solutions.
• Background in retail or supply‑chain data domains.
• Exposure to data science and ML pipelines, including model deployment and monitoring.
• Knowledge of business intelligence platforms such as arenaflex.
• Demonstrated ability to lead distributed, cross‑functional teams in a matrixed environment.
• Proven track record of driving data‑centric culture and championing data‑ops best practices.

Core Competencies & Personal Attributes

• Analytical Mindset: Ability to translate ambiguous business problems into concrete data solutions.
• Leadership & Influence: Comfortable leading without direct authority, fostering collaboration across diverse teams.
• Adaptability: Thrive in fast‑changing environments, embracing new technologies and evolving requirements.
• Ownership: Proactive attitude toward delivering results, meeting deadlines, and exceeding expectations.
• Communication: Clear, concise storytelling that bridges technical concepts and business impact.
• Team Culture Builder: Promote accountability, transparency, and continuous improvement within the engineering group.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by your ambition and the breadth of experiences you pursue. As a Senior Data Engineer, you will have access to:

• Mentorship from industry‑leading data architects and AI specialists.
• Sponsored certifications and training programs for arenaflex, data‑ops, and advanced analytics.
• Opportunities to lead high‑visibility projects that directly influence global business strategy.
• Cross‑functional rotations with product, finance, and supply‑chain teams to broaden domain expertise.
• Participation in internal hackathons, innovation labs, and research collaborations.

Work Environment & Culture at arenaflex

arenaflex champions a remote‑first, inclusive, and collaborative culture. Our teams are distributed across the United States, with a strong presence in Texas, and we provide the tools and processes needed for seamless virtual teamwork. Key cultural pillars include:

• Flexibility: Choose your work hours within an 8‑hour window that aligns with your personal rhythm.
• Diversity & Inclusion: We celebrate diverse perspectives and ensure equal opportunity for all qualified candidates.
• Innovation Mindset: Experimentation is encouraged; failure is treated as a learning opportunity.
• Well‑Being: Comprehensive wellness programs, mental‑health resources, and a supportive community.
• Recognition: Regular acknowledgment of individual and team achievements through awards and performance bonuses.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $25/hr, complemented by a robust benefits package that includes:

• Health, dental, and vision insurance with employer contributions.
• Retirement savings plan with company match.
• Generous paid time off, holidays, and flexible vacation policy.
• Professional development stipend for conferences, courses, and certifications.
• Remote work allowance covering home office setup, internet, and ergonomic equipment.
• Employee assistance program and access to mental‑health counseling.
• Performance‑based bonuses and stock‑option opportunities.

Equal Opportunity Employer Statement

arenaflex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Ready to Join arenaflex?

If you are passionate about building scalable data platforms, love solving complex problems, and thrive in a collaborative, remote environment, we want to hear from you. Apply today and become a pivotal part of arenaflex’s data‑driven future.

Apply Job!