Staff AI Data Engineer
Sony Interactive Entertainment
- Location
- United States
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 177,000–266,000/yr
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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