PlayStation
Media, Gaming & EntertainmentDirect Greenhouse career site

Data Engineer

Location
Austin, TX
Job type
Full-time
Level
Mid-level
Experience
3+ years
Listed
30 days ago

Skills & highlights for this role

  • advanced SQL
  • Python
  • Snowflake
  • dbt
  • data pipelines

Also useful

  • Databricks
  • Kubernetes
  • FinOps

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn't just the Best Place to Play - it's also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we're part of a proud legacy of innovation and excellence.

SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

About the role

PlayStation's Infrastructure Business Operations team is looking for a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation's global infrastructure.

Our infrastructure spans data centers, compute, storage, networking, Kubernetes, public cloud, SaaS, and other technology services. You will work alongside our engineering, product, finance, FinOps, and operations teams to build a data platform that can connect these disparate data sources into a trusted view of how our infrastructure is used, what it costs, and ultimately how those costs contribute to the economics of our products.

You will own the end-to-end implementation, starting with identifying the questions that matter, determining the data required to answer them, building the pipelines and models to make that data reliable and accessible, and finally turning it into insights that drive better decisions.

What You'll Do

  • Build scalable data pipelines that ingest, transform, and combine physical infrastructure, engineering system, financial, and product data.
  • Develop cost and allocation models that connect infrastructure consumption to workloads, services, features, and products.
  • Partner with engineering teams to understand complex infrastructure and identify the telemetry and instrumentation needed to measure it.
  • Analyze infrastructure cost, utilization, capacity, and unit economics to help drive key business decisions across all our teams.
  • Create trusted metrics, datasets, dashboards, and analytical tools used by engineering, product, Finance, and leadership.
  • Establish strong practices around data quality, testing, observability, documentation, and reproducibility.
  • Explore new data sources and technologies that improve how we understand and operate our infrastructure.

What We're Looking For

  • 3+ years in a similar role, focused on building production data pipelines, data models, and analytical systems.
  • Advanced SQL skills and proficiency with Python or similar data-oriented programming languages.
  • Experience with modern data platforms and tooling such as Snowflake, Databricks, dbt, and automated ETL/ELT pipelines.
  • Strong analytical skills-you're comfortable investigating the data yourself, challenging results, and translating findings into clear conclusions.
  • Experience working with large, complex datasets across multiple systems and levels of granularity.
  • Ability to translate ambiguous business and technical problems into measurable requirements and scalable data solutions.
  • Experience and flexibility with current analytics and visualization tools.
  • Familiarity with teams and engineering systems that utilize both on-prem and cloud infrastructure.
  • Strong communication skills and the ability to work across global engineering, product, Finance, and business teams.

Nice to Have

  • Bachelor's degree in computer science
  • Experience with AWS, Google Cloud, or Azure billing and usage data.
  • Experience with Kubernetes telemetry, networking, or data center operational data.
  • Familiarity with infrastructure cost allocation, unit economics, capacity planning, forecasting, or FinOps.
  • Experience connecting technical infrastructure consumption to product or business metrics.

Additional information

PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. We've thrilled gamers since 1994 when we launched the original PlayStation. Today, we're recognized as a global leader in interactive and digital entertainment. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

We sincerely appreciate the time and effort you spent in contacting us and we thank you for your interest in PlayStation.

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Read the original posting

From PlayStation's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

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Common questions

Where is the Data Engineer job at PlayStation located?

This Data Engineer position at PlayStation is located in Austin, TX. Always check PlayStation's application page for specific state eligibility or relocation policies.

What qualifications are required for Data Engineer at PlayStation?

For the Data Engineer role, PlayStation highlights 3+ years of relevant experience; experience with advanced SQL, Python, Snowflake, dbt, data pipelines. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Data Engineer position at PlayStation?

This listing links directly to PlayStation's Greenhouse application page. You can apply directly on PlayStation's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.