Staff, Data Engineer
Big Data
Bigdata
CI/CD
Cloud
Cloud Native
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Database
Databases
Dataops
DevOps
Devops Tools
ETL
Google Cloud
Hadoop
Hive
Informatica
Information Technology (IT)
Software Development
Spark
SQL
Stream Processing
Job Description
Lead scalable data engineering that powers business analytics and operational reporting.
Responsibilities
- Design, develop, maintain, and optimize scalable data pipelines and architectures for business analytics and operational needs
- Partner with cross-functional teams to convert business requirements into technical data solutions
- Build data integration, transformation, and data quality frameworks using modern ETL and streaming approaches
- Apply data governance compliance by aligning data handling and storage with regulatory and ethical standards
- Use cloud platforms and big data tools to automate data workflows and improve processing efficiency
- Monitor, troubleshoot, and maintain data systems to support reliability and performance
- Provide technical guidance on data modeling, storage approaches, and metadata management best practices
Requirements
- Proven expertise in data engineering, including designing and maintaining scalable data pipelines
- Strong Python proficiency and experience with ETL processes and big data technologies including Apache Spark, Hive, and Kafka
- Solid knowledge of cloud platforms, especially Google Cloud, and modern data warehousing solutions
- Experience implementing data quality frameworks and meeting data governance and regulatory requirements
- Familiarity with CI/CD practices and automated deployment for data environments
- Competence in data modeling techniques and metadata management across data platforms
- Minimum education and experience options:
- Bachelor’s degree in Computer Science and 4 years of experience in software engineering or related field
- 6 years of experience in software engineering or related field
- Master’s degree in Computer Science and 2 years of experience in software engineering or related field
- Minimum experience: 3 years in data engineering, database engineering, business intelligence, or business analytics
Technologies
- Python
- ETL
- Apache Spark
- Hive
- Kafka
- Google Cloud
- CI/CD
Benefits
- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
Preferred Qualifications
- Background in building inclusive digital experiences
- Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA, assistive technologies, and integrating digital accessibility
- Experience working with ETL tools and large data sets in the cloud
- Master’s degree in Computer Science or related field and 4 years of experience in software engineering or related field
- Accessibility best practices
Location
- Sunnyvale, CA (onsite)
- 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America
Compensation
- USD 110,000 - 286,000 per year
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