Location - Mountain View.
Duration - 6 Months + Possible extension
Rate - 85 C2C
Only Local candidates, please don't ask for relocation.
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About the Role
We are seeking
Senior Data Engineers to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering - from pipeline development to data modeling - and requires hands-on expertise with modern data stack tools and strong collaboration across teams.
This is a
fast-paced, execution-focused environment with immediate interviewing and onboarding.
Key Responsibilities
- Design and implement scalable data models and schemas
- Develop and maintain reliable, production-grade data pipelines
- Work closely with product and analytics teams to support data-driven features
- Ensure performance, data quality, and operational reliability across the stack
- Build and support ETL workflows using modern tools and frameworks
Required Qualifications
- 7+ years of experience in Data Engineering
- Advanced SQL skills with experience in data modeling and schema design
- Strong coding ability with Python for scripting and transformations
- Experience with ETL tools or frameworks (e.g., SnapLogic, Airflow, DBT, etc.)
- Excellent problem-solving skills and the ability to work independently
- Comfortable working in fast-moving, collaborative environments
- Strong communication and documentation skills
Nice to Have
- Experience with Snowflake is a strong plus
- Experience with SnapLogic or similar modern ETL platforms
- Familiarity with CI/CD and data ops practices