# Senior Staff Data Engineer, Databricks (R6508) at Shield AI

- Company: Shield AI
- What the company does: Autonomy for the world. Backed by a16z.
- Company website: https://shield.ai
- Type: Startups (AI role)
- Level: Senior
- Location: United States
- Work setup: On-site
- Pay: $145K to $220K base salary per year (USD)
- Posted: 2026-11-03
- Apply by: 2026-12-18
- Apply: https://jobs.lever.co/shieldai/69df955f-a283-43ea-a029-f4383daa93a8?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/shield-ai-senior-staff-data-engineer-databricks-r6508/

## About the role

The Senior Staff Data Engineer will help build and operate the enterprise lakehouse on Databricks, creating the governed data foundation that supports multiple business domains and downstream analytics. This is a hands-on role, responsible for scalable ingestion, reliable data processing, and strong technical controls across the Bronze and Silver layers of the medallion architecture. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- 12+ years of data engineering experience, including hands-on ownership of production data pipelines
- Strong Databricks experience, including Delta Lake, Databricks Workflows or Jobs, and Spark with PySpark and/or Spark SQL
- Working knowledge of Unity Catalog, including catalogs, schemas, tables, lineage, and access control concepts
- Experience with batch, CDC, and/or streaming ingestion patterns and the operational trade-offs associated with each
- Experience with CI/CD and deployment automation for data pipelines and platform assets, including version control, testing, and controlled promotion across environments
- Strong SQL skills and solid grounding in data modeling fundamentals, even if dimensional modeling is not the primary responsibility of this role

Tags: Enterprise Technology Services

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/shield-ai-senior-staff-data-engineer-databricks-r6508/