Staff AI Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $177.3k - $265.9k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Sony Interactive Entertainment

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1994

🎮 Gaming

🔧 Hardware

📡 Telecommunications

Gaming • Hardware • Telecommunications

Sony Interactive Entertainment is a prominent division of Sony Corporation responsible for the PlayStation brand and family of products and services. It designs, produces, and sells hardware and software for gaming consoles such as the PlayStation 5, PlayStation 4, and PlayStation VR2. Sony Interactive Entertainment also offers a range of digital services including PlayStation Plus, an online subscription service that provides access to a vast library of games and exclusive content. The company is heavily involved in the development and publishing of video games, offering popular titles like Horizon Forbidden West and Gran Turismo 7. Additionally, it supports indie game developers and hosts live competitive gaming events, contributing significantly to the gaming industry's ecosystem.

📋 Description

• 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 studio data sources • Develop ETL/ELT pipelines feeding data warehouses and curated datasets for analysts, analytics engineers, ML engineers, and downstream applications • Design data models, APIs, and storage patterns for structured and unstructured data 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 Python components supporting 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 technologies and architectural approaches across data engineering, LLM, and agent ecosystems • Partner with AI/ML engineers, software engineers, analysts, analytics engineers, researchers, and studio teams to translate ambiguous requirements into scalable solutions • Provide technical leadership, influence architecture and engineering standards, mentor engineers, and shape the AI Engineering data platform • Produce technical documentation, architectural guidance, examples, and reusable patterns for teams and studios

🎯 Requirements

• At least seven years of experience building and operating production data platforms, backend systems, or distributed data-intensive applications • Highly proficient in Python and experienced building maintainable production software • Experience designing and operating production data pipelines, including ingestion, transformation, orchestration, monitoring, failure recovery, and data-quality validation • Strong experience with relational databases and analytical data platforms such as PostgreSQL, Redshift, Snowflake, BigQuery, or similar systems • Experience with cloud-native architecture on AWS, GCP, or another major cloud platform • Understanding of networking, security, storage, compute, and managed data services • Hands-on experience with Infrastructure as Code such as Terraform • Experience with modern CI/CD and DevOps practices • Understanding of data modeling, schema design, query performance, partitioning, data lifecycle management, and storage-system tradeoffs • Experience designing APIs, services, or other programmatic data interfaces • Comfort working in collaborative Git-based development environments with code review, automated testing, and production deployment workflows • Clear communication and strong technical documentation skills • Ability to translate broad or ambiguous problems into pragmatic, maintainable systems • Staff-level ability to independently drive architecture and execution, influence technical direction across teams, and raise engineering standards • Background checks at the offer stage are required for new employees

🏖️ Benefits

• Medical insurance • Dental insurance • Vision insurance • Matching 401(k) • Paid time off • Wellness program • Employee discounts for Sony products • Potential eligibility for a bonus package • Flexible remote work with pay varying by geographic location