Senior Staff Data Engineer (Databricks)

Location: United States; onsite

Salary: USD 145,000–220,000 per year, plus bonus, benefits, and equity for full-time regular employees.

Company

hirify.global is a venture-backed defense-tech company developing intelligent systems, including Hivemind autonomy software, V-BAT and X-BAT aircraft, and simulation and synthetic reality technologies.

What you will do

• Build and operate the enterprise Databricks lakehouse across Bronze and Silver layers using Delta Lake.
• Design batch and streaming ingestion pipelines from enterprise source systems, including metadata capture, traceability, recoverability, CDC, and quality enforcement.
• Develop reusable ingestion, transformation, onboarding, data-contract, and engineering standards for multiple business domains.
• Implement secure Databricks platform constructs, including catalogs, schemas, service principals, workflows, jobs, and environment-aware deployments.
• Build CI/CD pipelines for ingestion code, transformations, workflows, tests, and promotion across development, test, and production environments.
• Apply classification, segregation, access, retention, and compliance controls; quarantine problematic records, document lineage and limitations, and partner with analytics and domain teams on trusted Gold-layer data.

Requirements

• 12+ years of data engineering experience, including hands-on ownership of production data pipelines.
• Strong Databricks experience with Delta Lake, Databricks Workflows or Jobs, Spark, and 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 their operational trade-offs.
• Experience with CI/CD and deployment automation for data pipelines and platform assets, including version control, testing, and controlled environment promotion.
• Strong SQL skills and solid data modeling fundamentals.
• Ability to understand the business and regulatory context of processed data, including sensitivity, ownership, permitted use, and downstream impact.
• Experience applying data classification, segregation, security, retention, or compliance requirements in a regulated or security-sensitive environment.
• Comfort shaping standards in a fast-moving platform build rather than only following established patterns.

Nice to have

• Databricks Data Engineer Associate or Professional certification.
• Experience establishing or maturing Unity Catalog structures and access models in an enterprise environment.
• Experience with infrastructure-as-code and deployment automation for data platforms.
• Experience in defense, aerospace, financial services, healthcare, or another highly regulated environment.
• Experience enabling multiple business domains on a shared platform while maintaining governance and ownership boundaries.

Culture & Benefits

• Full-time regular employees receive pay within the listed range, bonus, benefits, and equity.
• Offers are contingent on a cleared background and possible reference check.
• Salary is influenced by skills, experience, licenses, certifications, and specific work location.
• hirify.global is an equal opportunity and affirmative action employer and provides accommodation for disabilities or special needs.