Principal Data Engineer (Spark)

Interested in Principal Data Engineer (Spark) jobs in the United States? You're in the right place.

As data volumes grow, the United States employers keep expanding their analytics and data engineering teams in 2026, and San Francisco is among the busiest markets for Principal Data Engineer (Spark) roles. Typical hirers include marketplaces, banks, and enterprises standing up modern data stacks.

To move forward, simply upload your CV to wherewework, and we'll help connect you with real Principal Data Engineer (Spark) openings from real companies, including the position you're viewing right now.

Here's how it works:
1. Upload your CV once. Click "Apply" in this window. It only takes a moment, and allows us to match your profile with relevant Principal Data Engineer (Spark) opportunities.
2. We match you with real roles that fit your experience. When companies open Principal Data Engineer (Spark) positions aligned with your skills, we'll identify the best opportunities for you.
3. You stay fully in control. Before your CV is ever shared, we'll notify you with the exact job title and company name, and ask for your confirmation.
4. Only confirmed applications are sent to employers. Once you approve, the employer receives your application and may contact you directly.

For Principal Data Engineer (Spark) roles in San Francisco, salaries typically range from $18,700 to $26,700 gross per month, with an average gross salary of around $22,200. Compensation is driven by depth in SQL and modern data stack tools, experience building reliable pipelines or models, and the ability to connect data work to business outcomes.

While you're here, explore wherewework to discover what it's really like to work at top technology and software companies in the United States, through interview experiences, employee reviews, and community feedback.