Senior Data Engineer

Sony Group Corporation

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Diego, CA
Salary
$180,000–$205,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $192k
$116k most similar roles pay here $217k

This role pays more than 68% of similar roles. Most pay $135,675–$202,120 — the shaded band above. At the midpoint, this role pays about $192k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Sony Group Corporation

Sony Group Corporation is a Tokyo-based multinational conglomerate and a leading global entertainment and technology company.

Sony Group Corporation currently has 21 open roles on FindRole.

Listed pay typically runs $177,500–$205,000 across 14 roles with salary data.

Most-posted roles

View all roles at Sony Group Corporation

At a glance

TL;DR · Senior Data Engineer

Senior Data Engineer The Senior Data Engineer joins the SEPS Data Science team to support payment, subscription, and risk experiences within PlayStation’s direct-to-consumer business. This role involves building data pipelines, automated workflows, monitoring systems, and reporting solutions to combat fraud and improve decision-making for global payments. The successful candidate will develop governed, AI-ready data products for analytics and machine learning while collaborating with cross-functional teams to deliver trusted data. Key technical requirements include proficiency in SQL, Python, Java, JavaScript, Bash, or PowerShell, alongside experience with database design and performance optimization. Preferred skills include working with Snowflake, DynamoDB, Oracle, Hadoop, Athena, or EMR; streaming technologies like Kafka or Kinesis; and infrastructure tools such as Docker or Ansible. The role addresses critical challenges in payment processing, digital commerce, and card-not-present fraud within a complex entertainment ecosystem.

What does a Data Engineer earn in California?

Median $187556 from 33 postings across 18 companies.

See salary data

What you'll do

  • Design, build, and maintain scalable data pipelines and automated workflows for payment and risk systems.
  • Develop reliable, governed, and AI-ready data products to support analytics and machine learning use cases.
  • Create dashboards, reports, and monitoring solutions to help teams fight fraud and improve decision-making.
  • Use cloud technologies and modern engineering practices to improve platform reliability, security, and operational efficiency.
  • Partner with cross-functional teams to deliver trusted, documented data for production workflows.
  • Document architectures, data flows, and processes while communicating technical concepts to both engineers and executives.
  • Mentor team members through knowledge sharing, technical reviews, and participation in the hiring process.

What we're looking for

  • Bachelor’s degree in engineering, computer science, or a related field, or equivalent practical experience.
  • 7+ years of experience in data engineering, database development, software development, systems design, or data analysis.
  • Strong SQL skills including data modeling, database design, DDL, DML, data validation, and performance optimization.
  • Proficiency in Python, Java, JavaScript, Bash, or PowerShell to build automated data pipelines and workflows.
  • Experience preparing and operationalizing data for analytics, AI, or ML use cases including quality, lineage, and governance.
  • Familiarity with structured/semi-structured formats, Linux or Windows environments, and secure data transfer protocols.
  • Experience with platforms like Snowflake, DynamoDB, Oracle, Hadoop, Athena, or EMR (preferred).
  • Experience with streaming technologies, reporting tools, cloud infrastructure, or AI platforms (preferred).

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