Senior Data Engineer

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, DynamoDB, Oracle, Hadoop, Athena, or EMR.
Experience with streaming and messaging technologies such as Kafka, Kinesis, or ActiveMQ.
Familiarity with reporting and observability tools such as Tableau, Splunk, Datadog, or Domo.
Experience with cloud infrastructure, containers, storage, orchestration, and automation tools such as Docker, Packer, Ansible, Chef, or Puppet.
Exposure to AI platforms, vector databases, feature stores, model monitoring, retrieval-augmented generation, or production ML infrastructure.
Knowledge of payments processing, digital commerce, or card-not-present fraud.
We are committed to creating an inclusive employee experience for you to thrive as part of Sony’s purpose to “fill the world with emotion through the power of creativity and technology.”
Benefits:
SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family’s physical, emotional, and financial well-being.
What we offer you:
Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA)
Employee assistance plan and comprehensive behavioral health benefits
Fertility benefits, including, surrogacy, and adoption assistance programs
Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children
Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance
Short-term & long-term disability plans
Up to 12 weeks of paid parental and caregiver leave
401(k) Plan with pre-tax, Roth, and after-tax options and company match with immediate vesting
Education assistance and student loan programs
Other Programs:
[Flexible Work Arrangements, including remote and hybrid work schedules]
Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year’s Day (based on business needs)