Mountain View, California, United States

About the role

As a Data Engineer in this high-impact position, you will be instrumental in establishing and maintaining the data infrastructure that drives the success of our billion-dollar business. You will play a pivotal role in collecting, processing, and organizing data from various sources, ensuring its accuracy, accessibility, and scalability. Your work will empower data-driven decision-making, optimize operations, and contribute to our continued growth and success.

Responsibilities

• Develop and manage data pipelines for collecting advertising data from various sources such as ad servers, SSPs
• Design and maintain robust data storage solutions that can handle large volumes of advertising data
• Monitor data quality, ensuring data consistency and accuracy
• Design and develop ETL processes to transform raw data into a format that is useful for analysis
• Optimize data queries and ensure that databases are performing at optimal levels
• Develop and maintain dashboards and reports to visualize key advertising metrics
• Ensure compliance with data protection regulations like GDPR, CCPA, etc

Requirements

• 3+ years’ experience doing quantitative analysis within a high-tech company. Startup is a plus.
• 3+ years of experience Data Engineer or in a similar role.
• 3+ years of experience programming with Python, Scala, C/C++, Java, C#, Go, or similar programming language.
• 3+ years of experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.

Benefits

We offer a competitive benefits package:

• Health, dental, and vision care for you and your family (100% coverage for employee)
• Top-tier 401(K) plan with company matching
• Paid time off and paid holidays
• FSA, HSA and commuter benefits programs
• Team activity budget