Senior Data Engineer – Advanced Data Pipeline & Architecture – Remote (arenaflex)

About arenaflex – Pioneering the Future of Retail Technology

arenaflex is a global leader in retail innovation, leveraging cutting‑edge data science, artificial intelligence, and cloud technologies to transform the shopping experience for millions of customers worldwide. Our mission is to turn massive data volumes into actionable insights that drive smarter decisions, reduce costs, and create a more personalized journey for every shopper. As part of arenaflex’s Data Ventures team, you will join a community of forward‑thinking engineers, analysts, and product innovators who are reshaping the retail landscape.

Why This Role Matters

In today’s hyper‑connected world, data is the lifeblood of retail strategy. arenaflex processes petabytes of information daily—from inventory movements across continents to real‑time customer interactions. As a Senior Data Engineer, you will design, build, and maintain the data pipelines that power these insights, ensuring that data scientists and business analysts have reliable, high‑quality data at their fingertips. Your work will directly influence product availability, pricing strategies, supply‑chain efficiency, and ultimately, the everyday lives of our customers.

Key Responsibilities

Data Architecture & Pipeline Development

• Design, implement, and optimize end‑to‑end data pipelines that ingest raw data from diverse sources and transform it into curated, analytics‑ready datasets.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into scalable engineering solutions.
• Build and maintain data lake and data warehouse architectures on cloud platforms, ensuring high availability, security, and compliance.
• Develop reusable data models, schemas, and metadata standards that promote consistency across the organization.

Data Integration & Transformation

• Extract, cleanse, and enrich raw data using best‑in‑class ETL/ELT frameworks such as Apache Spark, Flink, and Beam.
• Implement data quality checks, validation rules, and monitoring dashboards to guarantee data integrity and reliability.
• Optimize data flow performance by tuning queries, indexing strategies, and partitioning schemes.

Collaboration & Leadership

• Partner with cross‑functional teams—including product managers, UX designers, and operations—to solve complex business problems with data‑driven solutions.
• Mentor junior engineers, conduct code reviews, and champion best practices in software engineering, testing, and documentation.
• Drive technical discussions around architecture, scalability, and cost‑optimization, influencing strategic decisions at the enterprise level.

Innovation & Continuous Improvement

• Stay current with emerging technologies in big data, cloud computing, and machine learning, and evaluate their applicability to arenaflex’s ecosystem.
• Prototype and pilot new data processing frameworks, automation tools, and AI‑enabled analytics pipelines.
• Contribute to open‑source projects and internal knowledge bases, fostering a culture of learning and sharing.

Essential Qualifications

• Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (Master’s preferred).
• Experience: Minimum 5 years of professional experience designing and operating large‑scale data pipelines in a production environment.
• Technical Skills: Proficiency in Scala, SQL, and Hadoop ecosystem tools; strong command of Python and PySpark is highly desirable.
• Cloud Platforms: Hands‑on experience with at least one major cloud provider (Google Cloud Platform, AWS, or Azure) and familiarity with cloud‑native data services.
• Data Modeling: Demonstrated ability to design logical and physical data models, including star, snowflake, and normalized schemas.
• Version Control & CI/CD: Expertise with Git, automated testing frameworks, and continuous integration pipelines.
• Problem‑Solving: Proven track record of translating ambiguous business challenges into concrete data solutions.

Preferred Qualifications

• Experience with container orchestration (Kubernetes) and workflow orchestration tools such as Airflow or Prefect.
• Knowledge of data governance, security, and compliance standards (e.g., GDPR, CCPA).
• Familiarity with machine learning pipelines and feature engineering workflows.
• Certification in cloud technologies (e.g., Google Cloud Professional Data Engineer).
• Previous work in the retail or e‑commerce sector, understanding of inventory, pricing, and demand‑forecasting dynamics.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant technical solutions.
• Communication: Clear articulation of technical concepts to non‑technical stakeholders, and strong documentation habits.
• Collaboration: Comfortable working in a distributed, remote‑first environment while maintaining strong team cohesion.
• Adaptability: Thrive in a fast‑paced setting where priorities shift quickly, and new challenges emerge daily.
• Quality Focus: Commitment to writing clean, maintainable code with comprehensive test coverage.

Career Growth & Learning Opportunities

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

• Annual learning stipend for conferences, certifications, and online courses.
• Mentorship programs pairing you with senior architects and industry thought leaders.
• Opportunities to lead high‑visibility projects that directly impact global retail operations.
• Rotational assignments across different business units, allowing you to broaden your expertise in supply chain, marketing analytics, and customer experience.
• Internal hackathons and innovation labs where you can prototype ideas and showcase them to executive leadership.

Work Environment & Culture at arenaflex

Our culture is built on three pillars: Innovation, Inclusion, and Impact. We celebrate diverse perspectives, encourage curiosity, and empower every employee to make a difference. Key aspects of our environment include:

• Remote‑First Flexibility: While we maintain collaborative hubs for occasional in‑person meetups, the majority of work is performed remotely, giving you the freedom to work from anywhere in the United States.
• Cross‑Functional Collaboration: Regular virtual “data days” bring together engineers, analysts, product managers, and designers to solve real‑world problems together.
• Inclusive Community: Employee resource groups, mentorship circles, and diversity initiatives ensure every voice is heard and valued.
• Well‑Being Focus: Comprehensive mental‑health resources, flexible PTO, and wellness programs support a healthy work‑life balance.

Compensation, Perks & Benefits

arenaflex offers a competitive total rewards package that reflects the value you bring to the organization:

• Base salary ranging from $35,000 to $45,000 per year, commensurate with experience and expertise.
• Performance‑based bonuses and annual incentive programs.
• Equity participation through stock purchase plans.
• 401(k) matching contributions to help you plan for the future.
• Generous paid parental leave, paid holidays, and flexible vacation policy.
• Comprehensive health, dental, and vision coverage, plus supplemental wellness benefits.
• Professional development budget, tuition reimbursement, and access to a vast library of technical resources.
• Employee assistance programs, mental‑health counseling, and fitness‑class reimbursements.

How to Apply

If you are ready to harness the power of data to shape the future of retail, we want to hear from you. Join arenaflex’s dynamic team of engineers and innovators, and help us build the data foundation that will drive the next generation of shopping experiences.

Take the next step in your career—apply today and become a catalyst for change at arenaflex!

Apply Job!