Sr Engineer - Data

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.

About the role:

We are a leading entertainment company dedicated to delivering innovative advertising solutions. Our team is passionate about leveraging technology to enhance the digital advertising experience for our clients.We are seeking a skilled Staff Software Engineer with expertise in developing performant advertising services in GOLang in cloud environments to join our dynamic team. The ideal candidate will have a strong background in advertising technology, including advertising signals and global privacy signals.

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.

We are looking for an experienced Data Engineer with 4 to 6 years of hands-on experience designing, building, and maintaining scalable cloud data infrastructure. In this role, you will build robust data pipelines, optimize large-scale processing jobs, and manage data warehousing solutions across GCP or AWS environments. You will collaborate closely with backend engineers, analysts, and product teams to ensure reliable, high-quality data is delivered across the organization

Key Responsibilities Pipeline Development:

Design, develop, and maintain resilient batch and streaming data pipelines using Python, SQL, and distributed frameworks. Cloud Infrastructure (GCP & AWS): Build and administer data solutions across Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow) and Amazon Web Services (e.g., S3, Redshift, Glue). Transformation & Modeling: Develop clean, version-controlled, and testable transformation layers using dbt (data build tool) for analytics-ready models. Ingestion (dlt): Implement lightweight, pythonic extraction and ingestion frameworks using dlt (Data Load Tool) to pull data from diverse SaaS and database sources.Big Data Processing: Write, tune, and optimize Apache Spark (PySpark/Scala) jobs for high-volume data transformation and aggregations. Orchestration & DevOps: Manage workflow scheduling, monitoring, and error-handling using tools like Apache Airflow, CI/CD pipelines, and Git version control. Data Quality & Governance: Enforce data validation, schema evolution handling, lineage tracking, and security best practices.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.