JobHabor

Staff AI Data Engineer

Sony Interactive Entertainment

Location
United States
Workplace
Remote
Employment
Full Time
Salary
USD 177,000–266,000/yr
Apply on the employer’s site

Posted 22d ago

Staff AI Data Engineer @ Sony Interactive Entertainment | Jobright.ai

Staff AI Data Engineer jobs in United States

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Sony Interactive Entertainment · 1 week ago

Staff AI Data Engineer

United States

Full-time

Remote

Lead/Staff

$177K/yr - $266K/yr

7+ years exp

Sony Interactive Entertainment, the company behind the PlayStation brand, creates hardware, network services, and entertainment experiences for its global audience. The company is seeking a Staff AI Data Engineer to design and operate data infrastructure, pipelines, backend services, and cloud platforms supporting LLM applications, machine learning, analytics, experimentation, and production AI services across PlayStation Studios.

Consumer GoodsMusicGamingVideo Games

Work & Life Balance

H1B Sponsor Likely

Responsibilities

Design, build, and own scalable data infrastructure supporting LLM, agentic, machine learning, analytics, and experimentation workflows

Build and operate reliable batch and event-driven data pipelines for ingestion, transformation, enrichment, and delivery across varied studio data sources

Develop ETL/ELT pipelines that feed data warehouses and curated datasets for analysts, analytics engineers, ML engineers, and downstream applications

Design data models, APIs, and storage patterns that make structured and unstructured data easy to discover, access, and use across AI-powered systems

Build data-backed services and platform capabilities for LLM applications, including retrieval-augmented generation, embeddings, vector search, tool integrations, and context retrieval

Develop backend services and reusable components in Python that support production AI and data workflows

Design and operate cloud infrastructure using AWS and/or GCP, Infrastructure as Code, containerized workloads, and modern CI/CD practices

Establish standards for data quality, lineage, observability, testing, schema evolution, reliability, security, and operational ownership

Evaluate new technologies and architectural approaches across data engineering and the rapidly evolving LLM and agent ecosystem, and determine where they provide practical value

Partner with AI/ML engineers, software engineers, analysts, analytics engineers, researchers, and studio teams to translate ambiguous requirements into scalable technical solutions

Provide technical leadership across projects, influence architecture and engineering standards, mentor other engineers, and help shape the long-term direction of the AI Engineering data platform

Produce clear technical documentation, architectural guidance, examples, and reusable patterns that allow solutions to scale across teams and studios

Qualification

PythonProduction Data PipelinesRelational DatabasesAnalytical Data PlatformsCloud-Native ArchitectureInfrastructure as CodeTerraformCI/CDData ModelingAPI DesignGitAutomated TestingLLM ApplicationsRetrieval-Augmented GenerationVector Databases

Required

You have at least seven years of experience building and operating production data platforms, backend systems, or distributed data-intensive applications

You are highly proficient in Python and have experience building maintainable production software, not just scripts or notebooks

You have designed and operated production data pipelines, including ingestion, transformation, orchestration, monitoring, failure recovery, and data-quality validation

You have strong experience with relational databases and analytical data platforms such as PostgreSQL, Redshift, Snowflake, BigQuery, or similar systems

You are experienced with cloud-native architecture on AWS, GCP, or another major cloud platform and understand networking, security, storage, compute, and managed data services

You have hands-on experience with Infrastructure as Code such as Terraform and with modern CI/CD and DevOps practices

You understand data modeling, schema design, query performance, partitioning, data lifecycle management, and the tradeoffs between transactional, analytical, and specialized storage systems

You have experience designing APIs, services, or other programmatic interfaces for accessing and operating on data

You are comfortable working in collaborative Git-based development environments with code review, automated testing, and production deployment workflows

You communicate clearly, write strong technical documentation, and can translate broad or ambiguous problems into pragmatic, maintainable systems

You operate effectively at Staff level

independently driving architecture and execution, influencing technical direction across teams, and raising engineering standards beyond your immediate projects

Preferred

You have built production systems using LLMs, agentic workflows, retrieval-augmented generation, embeddings, or vector databases

You have experience with LLM application infrastructure and tooling such as MCP, tool calling, evaluation systems, prompt/context management, or model observability

You have worked with orchestration and distributed data-processing technologies such as Airflow, Prefect, Dagster, Spark, Kafka, or similar systems

You have experience working with both structured and unstructured data, including documents, source code, telemetry, logs, media metadata, or other large-scale content

You have built internal data platforms, self-service developer platforms, or reusable infrastructure used by multiple engineering teams

You are familiar with data governance, privacy, security, access controls, lineage, retention, and responsible-AI considerations for enterprise data

You have experience supporting ML training, evaluation, feature generation, or other machine learning data workflows

Benefits

Medical

Dental

Vision

Matching 401(k)

Paid time off

Wellness program

Coveted employee discounts for Sony products

This role also may be eligible for a bonus package.

This is a flexible role that can be remote, with varying pay ranges based on geographic location.

Company

Sony Interactive Entertainment

PlayStation gaming hardware, network services, and games.

Founded in 1993

San Mateo, California, USA

10001+ employees

https://www.sie.com

H1B Sponsorship

Sony Interactive Entertainment has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

76%

Represents job field similar to this job

Engineering and Development

Management and Executive

Creatives and Design

Product Management

Accounting and Finance

Marketing

Customer Service and Support

Sales

Arts and Entertainment

Legal and Compliance

Human Resources

Trends of Total Sponsorships

*2026 (114)

2025 (279)

2024 (252)

2023 (200)

2022 (279)

2021 (210)

2020 (213)

Funding

Current Stage

Late Stage

Leadership Team

Ben King

SVP, Direct-to-Consumer, Sony Interactive Entertainment / Playstation

Kiichiro Urata

SVP, Head of Japan Asia Partner Development & Relations / member of the Board of Directors

Recent News

WebProNewsSony Tells Court Gamers Already Know They Don’t Own Digital PlayStation Games

2026-09-06

IndiaTimesGTA 6 controllers, Wolverine’s new trailer,

Ghost of Yotei expansion and more

Everything announced at September State of Play

2026-09-05

Techweez | Tech News, Reviews, Deals, Tips and How ToSony Tells Court Nobody Really Owns Their PlayStation Games

2026-09-02

Company data provided by crunchbase

Skills

  • Python
  • PostgreSQL
  • Redshift
  • Snowflake
  • BigQuery
  • AWS
  • GCP
  • Terraform
  • CI/CD
  • Git
  • LLM
  • MCP
  • Airflow
  • Prefect
  • Dagster
  • Spark
  • Kafka

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