Data Engineer | Onsite | Sunnyvale, California
At a glance
Mid-level Data Engineering role at Fa Ertb Saasfaprod1. United States · full-time · $48,000–$168,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and operate batch and incremental pipelines in Python and SQL, making raw source data usable for analytics
- Create and tune Snowflake models and transformations for reporting and downstream applications
- Write scripts to coordinate, monitor, and diagnose workflows, with checks for data quality, lineage, and alerts
- Improve query performance while controlling warehouse resources and costs
- Clarify dataset needs with analysts, data scientists, and application teams, then record schemas and data contracts
What you bring
- At least seven years working in data engineering or a related discipline
- Strong Python ability, scripting experience, and advanced SQL skills, including complex joins and performance tuning
- Practical Snowflake experience with warehouses, stages, tasks, streams, and role-based access
- A firm grasp of data warehousing, dimensional modeling, and ETL or ELT patterns
Who this fits
This role suits an experienced data engineer who can build and operate pipelines and work with analytics and application teams. The title identifies the position as onsite in Sunnyvale, California.
From the employer
Role Overview
We need an experienced Data Engineer to build and maintain reliable, scalable data pipelines and warehouse models on Snowflake. You will turn raw data from many sources into trusted datasets for analytics, reporting, and downstream applications.
Key Responsibilities
- Design, build, and operate batch and incremental data pipelines using Python and SQL.
- Develop and optimize data models and transformations in Snowflake.
- Write automation and operational scripts to orchestrate, monitor, and troubleshoot data workflows.
- Implement data quality checks, validation, lineage, and alerting.
- Tune query performance and manage warehouse cost and resource usage.
- Collaborate with analysts, data scientists, and application teams to understand requirements and deliver datasets.
- Document pipelines, schemas, and data contracts.
Required Qualifications
- 7+ years of experience in data engineering or a closely related field.
- Strong Python skills and experience with scripting languages (for example Bash).
- Advanced SQL, including complex joins, window functions, and performance tuning.
- Hands-on experience with Snowflake (warehouses, stages, tasks, streams, role-based access).
- Solid understanding of data warehousing, dimensional modeling, and ETL/ELT patterns.
Preferred Qualifications
- Experience with orchestration tools (for example Airflow) and transformation frameworks (for example dbt).
- Familiarity with AWS or GCP data services.
- Exposure to data governance, security, and privacy practices.
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 168,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is available for independent contractors
No applications will be considered if received more than 120 days after the date of this post.
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