Senior, Software Engineer – Big Data & AI Platforms

Job Description

Position Summary... What you'll do... Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time, onsite role at our Bentonville, AR office. This position is not eligible for remote work. Are you passionate about building large-scale, intelligent systems that directly influence business decisions? This role offers the opportunity to design and deliver high-impact software and AI-driven solutions that measure and optimize the financial impact of third‑party pricing at massive scale using Big Data. If you’re motivated by owning meaningful features end‑to‑end and seeing your work drive measurable business outcomes, this role puts you at the center of data, intelligence, and decision-making. About the Team: The Financial Intelligence & Pricing Impact team focuses on measuring and analyzing the financial impact of third‑party pricing using large-scale data platforms. Working closely with data scientists, product managers, and platform engineers, this team builds scalable services, APIs, and ML-enabled systems that drive pricing transparency and actionable insights across the business. Your work will directly influence strategic pricing decisions while contributing to a modern, data-driven ecosystem. What You’ll Do: Own the delivery of scoped features, services, APIs, and data-driven components from design through production and ongoing support Build, test, deploy, and maintain scalable software and data pipelines using modern languages and Big Data technologies (Spark, Kafka, Cassandra) Integrate AI/ML and GenAI capabilities into applications using internal and external APIs to enhance intelligence and automation Translate product and business requirements into technical solutions, defining success metrics and measurable outcomes Participate in design and code reviews, ensuring high-quality, secure, and maintainable software aligned with enterprise standards What You’ll Bring: Strong hands-on experience in software engineering with languages such as Java, Python, JavaScript/TypeScript, or C Proven ability to deliver production-grade software across the full SDLC, including CI/CD, automated testing, observability, and production support Experience building and maintaining data-intensive systems using Spark, Kafka, and distributed data stores Solid understanding of object-oriented design, scalable architecture, and modern software design patterns Ability to collaborate with product, data science, and platform partners to translate complex requirements into effective technical solutions Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area or 5 years’ experience in software engineering or related area. Preferred Qualifications: Experience integrating machine learning models or AI age

Required Skills