Senior Data Engineer at Sony in San Diego, CA

  • Company: Sony
  • Location: San Diego
  • Salary: $180K – $205K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-28

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Job description

Join the Sony Engagement Platform Services (SEPS) Team, where innovation meets collaboration in the dynamic world of digital engagement. At SEPS, we are building the next-generation platform that powers how fans connect with the content—and the creators—they love. Our mission is to unlock meaningful, data-driven engagement across Sony’s entertainment ecosystem, from games and anime to music, film, and live experiences—empowering both internal teams and external partners to build at scale. Our mission is to create a world-class engagement platform that not only enhances existing revenue streams but also drives new opportunities through a robust ecosystem of partners and creators. By decoupling application development from platform services, we empower our teams to deliver exceptional solutions with agility and efficiency. If you are passionate about shaping the future of digital engagement and want to be part of a vibrant community that values creativity and collaboration, we invite you to explore the exciting opportunities within our team. Together, we will shape the future of fan experiences and define the foundation for what’s possible in the realm of engagement. To learn more visit: www.sony.com/en/SonyInfo/technology/stories/entries/sep_introduction/ POSITION SUMMARY We are looking for a Senior Data Engineer to join a focused team within SEPS Data Science supporting payment, subscription, and risk experiences across PlayStation’s direct-to-consumer business. This is a hands-on role for someone who will build data, dashboards, reports, and systems that help teams fight fraud and improve decision-making. Work ranges from short-term efforts to longer strategic projects, requiring creativity, adaptability, and strong technical execution. This role will be working very closely with the Sony Interactive Entertainment (SIE) Global Payments Team that plays a central role in enabling consumers across the world to purchase hardware, digital content and services. JOB RESPONSIBILITIES Design, build, and maintain scalable data pipelines, automated workflows, monitoring, alerts, dashboards, and reporting solutions for GPFD teams. Develop reliable, governed, and AI-ready data products that support analytics, automation, machine learning, and generative AI use cases. Partner with data scientists, analysts, engineers, and stakeholders to deliver trusted, documented data for production workflows. Use cloud technologies, orchestration tools, and modern engineering practices to improve platform reliability, scalability, security, and operational efficiency. Document architectures, data flows, and processes, and communicate technical concepts to audiences ranging from engineering teams to executives. Support team growth through mentoring, knowledge sharing, technical reviews, hiring participation, and a strong commitment to protecting Sony and its customers. Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above QUALIFICATIONS FOR POSITION Your qualifications and experience should include: Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience. 7+ years of experience in data engineering, database development, software development, systems design, or data analysis. Strong SQL, data modeling, database design, DDL, DML, data validation, and performance-optimization skills. Proficiency in one or more languages such as Python, Java, JavaScript, Bash, or PowerShell, with experience building automated data pipelines and workflows. Familiarity with structured and semi-structured formats, Linux or Windows environments, secure data transfer, permissions, authentication, and encryption. Experience preparing and operationalizing data for analytics, AI, or ML use cases, including data quality, lineage, governance, feature engineering, and responsible use of AI-assisted tools. Preferred Qualifications Experience with platforms such as Snowflake, Dynam

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