Staff Engineer - Data

Description

Xperi invents, develops and delivers technologies that create extraordinary experiences at home and on the go for millions of people around the world. Powering billions of consumer electronics, connected cars and digital content titles, we make entertainment more immersive, driving more intelligent and every interaction seamlessly personalized through our renowned consumer brands: DTS®, HD Radio™ and TiVo®.Xperi (NYSE: XPER) is a publicly traded technology company headquartered in San Jose, CA with over 1,500 employees across North America, Europe and Asia. Come join a thriving team where you can play an integral role in shaping the future of entertainment technology.

Job Description

We are looking for a Staff Software Engineer, Data with 8+ years of experience designing and building reliable, scalable data platforms. This is a senior technical role for someone who can set architectural direction, solve complex data engineering problems, and remain hands-on in critical parts of the platform.

You will lead the design and evolution of batch and migration of data systems, large-scale processing frameworks, and cloud data warehouse solutions across GCP and AWS. You will work closely with backend engineers, analysts, product teams, and other technical leaders to make high-quality, trusted data available across the organization.

Key Responsibilities

• Technical direction and architecture: Define and evolve the architecture for scalable data platforms, pipelines, and analytical data systems. Make sound design choices around reliability, performance, cost, security, and maintainability.
• Pipeline engineering: Design and build resilient batch and streaming pipelines using Python, SQL, and distributed processing frameworks. Set engineering standards for retries, idempotency, observability, and failure recovery.
• Cloud data platforms: Lead the design and operation of data solutions on GCP and/or AWS, using services such as BigQuery, Cloud Storage, Dataflow, S3, Redshift, and Glue.
• Data modeling and transformation: Establish maintainable, version-controlled, and testable transformation practices using dbt and other appropriate tools. Guide the development of analytics-ready data models.
• Data ingestion: Design ingestion patterns for SaaS applications, databases, and other sources. Use tools such as dlt where appropriate, and establish standards for schema changes and source reliability.
• Large-scale processing: Design, develop, and optimize Apache Spark workloads using PySpark or Scala. Diagnose performance bottlenecks and improve processing efficiency at scale.
• Orchestration and delivery: Guide workflow orchestration, monitoring, and error handling with tools such as Apache Airflow. Improve CI/CD practices, automated testing, and release processes for data systems.
• Data quality and governance: Define practical approaches to data validation, lineage, schema evolution, access control, and secure handling of data.
• Technical leadership: Lead design reviews, mentor engineers, raise the quality of technical decisions, and help teams resolve complex cross-system problems.
• Cross-functional partnership: Work with backend, analytics, product, and business teams to translate data needs into reliable platform capabilities and clear delivery plans.
• Operational ownership: Establish service health measures and support practices for critical data systems, including incident response, root-cause analysis, and prevention of recurring issues.

Experience and Qualifications

• 8+ years of experience in software or data engineering, including substantial hands-on work building production data systems.
• Demonstrated experience designing and operating scalable data platforms or distributed data processing systems.
• Strong programming skills in Python and SQL.
• Practical experience with Apache Spark using PySpark or Scala.
• Experience with at least one major cloud platform—GCP or AWS—and its data services.
• Experience with workflow orchestration tools such as Apache Airflow and modern CI/CD practices.
• Experience developing data models and transformation workflows; familiarity with dbt is preferred.
• Experience building ingestion frameworks for APIs, SaaS platforms, databases, or event streams; familiarity with dlt is preferred.
• Strong understanding of data quality, schema evolution, lineage, security, and production reliability.
• Ability to lead technical design across teams, mentor engineers, and communicate trade-offs clearly.
• A track record of balancing hands-on delivery with longer-term technical direction.

Life @ Xperi:

At Xperi, we value People, Customers, Performance and Innovation. We are dedicated to creating a workplace where all employees have a voice and sense of belonging, feel safe and valued, and are acknowledged for how their unique differences contribute to organizational culture and business outcomes.Our employees and their families are important to us, and our comprehensive pay, stock and benefits programs reflect that. Xperi supports personal well-being, builds financial security and enables employees to share in our collective success.

Rewards include:

Competitive compensation (salary, equity and bonuses) and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future.

Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community.

Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, and fitness facilities. A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.