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60 Playstation Data Jobs Hiring Near You

PlayStation Global

Product Manager

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're ... Data fluency and working experience of partnering with analytics, research, and insights groups.

PlayStation Global

Product Manager

OR · On-site +1

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're ... Data fluency and working experience of partnering with analytics, research, and insights groups.

PlayStation Global

Software Engineer II

Madison, WI · On-site

$98.20K - $134.50K/yr

... data * Continuously learn, experiment, and bring forward innovative ideas - participate in Hackathons and Café Days to help shape the future of PlayStation experiences. Required Qualifications:

PlayStation Global

Software Engineer II

Madison, WI

... data * Continuously learn, experiment, and bring forward innovative ideas - participate in Hackathons and Cafe Days to help shape the future of PlayStation experiences. Required Qualifications:

PlayStation Global

Software Engineer I

San Mateo, CA · On-site

PlayStation also strives to create an inclusive environment that empowers employees and embraces ... Partner with cross-functional teams including product managers, data engineers, security teams ...

PlayStation Global

Software Engineer I

San Diego, CA · On-site

PlayStation also strives to create an inclusive environment that empowers employees and embraces ... Partner with cross-functional teams including product managers, data engineers, security teams ...

PlayStation Global

Sr. Portfolio Data Analyst

San Mateo, CA · On-site

$147K - $220.60K/yr

Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary ... This role designs and delivers scalable data solutions and advanced analytics to provide real-time ...

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PlayStation Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most popular job types at Playstation?
    What are the most popular jobs at Playstation?
    What are the most popular categories at Playstation?
    Infographic showing various Data job openings at Playstation in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
    Software Engineer II, Data Platform

    Software Engineer II, Data Platform

    PlayStation Global

    San Diego, CA • Hybrid

    $121.60K - $146K/yr

    Other

    Posted 23 days ago

    Job description

    Software Engineer II- Data Platform

    Hybrid: San Diego

    Do you want to join a team of talented engineers dedicated to enhancing the PlayStation experience for millions of users and creators? As part of our Data Platform team, you will play a key role in building cutting-edge systems that power PlayStation's data-driven features, delivering impactful insights and enabling seamless, interactive experiences!

    The Software Engineers within our Platform Engineering Group design, build, document, and deploy large-scale data platforms that optimize performance and scalability across PlayStation systems. You will work on solving complex data challenges, improving platform capabilities, and ensuring high availability, all while supporting a dynamic, interactive environment for PlayStation users.

    We're looking for someone who is passionate about building innovative data platforms that scale to millions of users, collaborating across Engineering and Product teams in an agile environment. You'll have the opportunity to work with the latest technologies, tools, and processes, helping to drive forward our technical and architectural goals.

    Responsibilities

    • Contribute to the development, testing, and deployment of high-quality code across the data platform

    • Collaborate actively with global teams across multiple time zones, ensuring alignment and continuity

    • Support platform capabilities for data cataloging, analytics, and ETL/ELT pipelines

    • Assist in identifying performance bottlenecks and implementing improvements with guidance from senior engineers

    • Build and support services that handle structured, semi-structured, and unstructured data (audio, video, text, images)

    • Participate in on-call rotation for production support and help troubleshoot critical issues

    • Contribute to platform documentation and maintain clarity for internal consumers

    • Present work in team demos and represent engineering contributions in internal discussions

    • Follow best practices in testing, monitoring, and deployment to ensure platform reliability

    • Continuously learn and apply new tools, patterns, and technologies in the data platform space

    Requirements

    • Bachelor's degree in Computer Science

    • 3+ years of direct experience developing scalable, distributed systems

    • Proficient in at least one language: Scala, Java, or Python

    • Experience building or maintaining cloud-based applications/services (AWS preferred, GCP is a plus)

    • Exposure to event streaming platforms such as Kafka, Kinesis, or SQS and Data Ingestion

    • Familiarity with distributed data processing frameworks like Apache Spark or Apache Flink

    • Understanding of CI/CD pipelines, monitoring, and observability best practices

    • Comfortable working in a globally distributed team

    • Willingness to participate in production on-call rotations

    Nice to Have

    • Exposure to Databricks or similar unified data platforms

    • Experience working with unstructured data formats such as images, video, or audio

    • Familiarity with data cataloging, lineage, and metadata tools

    • Experience supporting platform-scale features such as ETL frameworks, analytics services, or data quality checks

    • Knowledge of GCP or multi-cloud environments

    • Curiosity and enthusiasm for tackling scalability and reliability challenges

    Your First 90 Days

    • 30 Days: Ramp up on our tech stack, development tools, and team workflows. Deliver your first minor enhancement or bug fix and sync with global peers.

    • 60 Days: Begin contributing to core platform features. Participate in code/design reviews and propose improvements.

    • 90 Days: Own medium-scope features end-to-end. Engage in roadmap discussions and build strong cross-functional relationships with global stakeholders.

    Apply