Infrastructure Data Engineer for Cost & Utilization

PlayStation Global

Austin (TX)

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Sony Interactive Entertainment is seeking a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation's global infrastructure. You will own end-to-end implementation and collaborate across engineering, product, finance and operations to drive data-driven decisions.

You will develop scalable pipelines, cost models, and trusted metrics that inform business decisions and strategic investments across the organization.

Qualifications

  • 3+ years building production data pipelines and analytics systems
  • Advanced SQL and Python proficiency
  • Experience with Snowflake, Databricks, dbt and ETL/ELT pipelines
  • Ability to translate business problems into measurable data requirements
  • Experience with large, complex datasets across multiple systems

Responsibilities

  • Ingest, transform, and combine data from infrastructure, engineering, finance, and product
  • Develop cost and allocation models linking consumption to workloads
  • Collaborate with engineering to define telemetry and instrumentation
  • Analyze cost, utilization, capacity, and unit economics to inform decisions
  • Create trusted metrics, datasets, dashboards, and tools for multiple teams
  • Establish data quality, testing, observability, and documentation practices
  • Explore new data sources and technologies to improve insights

Skills

Advanced SQL
Python
Data pipelines
Data modeling
ETL/ELT
Snowflake
Databricks
dbt
Analytics
Visualization tools
Communication

Education

Bachelor’s degree in Computer Science

Tools

Kubernetes
AWS
GCP
Azure

Job description

Sony Interactive Entertainment is seeking a Data Engineer to build the data foundation for understanding the cost, utilization, and economics of PlayStation's global infrastructure. You will own end-to-end implementation and collaborate across engineering, product, finance and operations to drive data-driven decisions.

You will develop scalable pipelines, cost models, and trusted metrics that inform business decisions and strategic investments across the organization.

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