Senior Remote Data Engineer – Large‑Scale Data Lake & Cloud Platform Development at arenaflex – $25/hr
```html About arenaflex arenaflex is a global leader in consumer‑focused data‑driven innovation. With a legacy of turning raw information into actionable insight, arenaflex empowers brands, retailers, and supply‑chain partners to make smarter decisions faster. Our data platforms power everything from revenue forecasting to store‑network optimization, and we are constantly expanding the horizon of what data can achieve. As a remote‑first organization, arenaflex embraces flexibility, collaboration, and a culture of continuous learning, allowing talent from anywhere in the world to contribute to our mission. Role Overview We are seeking a Senior Data Engineer to join arenaflex’s Information Designing Group. In this pivotal role you will design, build, and operate the core data products that enable analytics, AI, and product development across the enterprise. You will work hand‑in‑hand with product owners, data scientists, and business stakeholders to translate complex business problems into robust, scalable data solutions that run on modern cloud environments.
Key Responsibilities
Lead the end‑to‑end development of data pipelines that ingest, transform, and load high‑volume data from on‑premise and cloud sources into the arenaflex Data Lake. Design, implement, and maintain automated data quality and monitoring frameworks that capture functional KPIs for pipeline performance. Collaborate with cross‑functional teams to define data models, schemas, and metadata standards that support downstream analytics and machine‑learning workloads. Drive the productionalization of data science models, ensuring they are reliable, reproducible, and performant at scale. Manage service‑level agreements (SLAs) for data products, proactively identifying and resolving bottlenecks. Support large‑scale experimentation by data scientists, providing sandbox environments and rapid data provisioning. Research and prototype emerging data‑engineering technologies, evaluating their fit for arenaflex’s strategic roadmap. Document architectural decisions, data lineage, and operational procedures to foster knowledge sharing across the organization. Develop reusable libraries and packages that accelerate development across multiple data projects. Participate in code reviews, mentor junior engineers, and champion best practices in data engineering, DevOps, and DataOps.
Essential Qualifications
Education Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physical Science, or a related technical field. Experience Minimum 2 years of hands‑on experience with data lake architectures, data warehousing, and data‑analysis tools. Proven expertise in SQL development, performance tuning, and programming languages such as Python, PySpark, or Scala. At least 2 years of cloud data engineering experience on arenaflex (formerly Azure) platforms, including certification(s) on arenaflex cloud services. Demonstrated ability to build and scale high‑volume ETL/ELT pipelines, data profiling, and data‑quality frameworks (e.g., arenaflex). Experience with MPP database technologies (e.g., arenaflex) and container orchestration platforms such as Kubernetes. Familiarity with version‑control systems (e.g., arenaflex) and continuous integration tools. Strong analytical mindset with the ability to translate business requirements into technical specifications.
Preferred Qualifications
Advanced degree (M.S. or Ph.D.) in a quantitative discipline. Hands‑on experience with data‑science platforms (e.g., arenaflex) and machine‑learning pipelines. Background in retail or supply‑chain analytics, having built solutions that impact store‑network or product‑development processes. Knowledge of metadata management, data lineage, and data‑glossary frameworks. Experience working in fast‑paced, matrixed environments with distributed global teams. Familiarity with business intelligence tools (e.g., arenaflex) for reporting and visualization. Core Skills & Competencies Technical Acumen Deep understanding of data architecture, cloud storage, and distributed processing. Communication Excellent verbal and written skills; ability to influence senior leadership and convey complex concepts clearly. Leadership Proven track record of mentoring data teams, driving collaboration, and fostering a culture of ownership. Problem‑Solving Strong critical‑thinking abilities; comfortable navigating ambiguous requirements and delivering pragmatic solutions. Adaptability Positive attitude toward change, with a willingness to learn new technologies and processes. Project Management Ability to juggle multiple priorities, meet deadlines, and exceed individual and team goals. Career Growth & Learning Opportunities arenaflex invests heavily in the professional development of its employees. As a Senior Data Engineer you will have access to Mentorship from industry veterans and thought leaders in data engineering and analytics. Sponsored certifications and training programs on cutting‑edge cloud and data‑technology stacks. Opportunities to lead high‑visibility projects that directly influence the company’s strategic direction. Cross‑functional rotations that broaden your expertise across product, analytics, and AI domains. Participation in internal hackathons, innovation labs, and research initiatives. Work Environment & Culture at arenaflex Our remote‑first philosophy means you can work from any location in Texas, the United States, or beyond, while staying tightly connected to a vibrant, inclusive community. arenaflex values Collaboration Regular virtual coffee chats, team stand‑ups, and knowledge‑sharing sessions. Inclusivity A commitment to equal opportunity, celebrating diverse perspectives, and fostering an environment where every voice is heard. Innovation Encouragement to experiment, fail fast, and iterate—fueling continuous improvement. Work‑Life Balance Flexible schedules, generous paid time off, and support for mental‑wellness initiatives. Compensation, Perks & Benefits arenaflex offers a competitive hourly rate of $25 per hour, complemented by a comprehensive benefits package that includes Health, dental, and vision insurance with multiple plan options. Retirement savings plan with company matching contributions. Paid parental leave, family‑care assistance, and flexible PTO. Professional development stipend, tuition reimbursement, and access to online learning platforms. Wellness programs, virtual fitness classes, and mental‑health resources. Employee assistance program and regular community‑building events. Application Process Ready to shape the future of data at arenaflex? Follow these steps to apply Prepare an updated resume highlighting your data‑engineering experience and relevant certifications. Craft a concise cover letter that explains why you are passionate about building data platforms for a global consumer brand. Submit your application through the arenaflex career portal. Successful candidates will be invited to a virtual interview series, including technical assessments and cultural fit discussions. Join arenaflex Today If you thrive in a dynamic, data‑centric environment and are eager to make a tangible impact on a world‑class organization, arenaflex wants to hear from you. Bring your expertise, curiosity, and collaborative spirit, and help us turn data into decisive action across the globe. Apply now and become a catalyst for data‑driven transformation at arenaflex! ``` Apply for this job Apply tot his job Apply To this Job