Staff Data Engineer (Cybersecurity)

Location: Remote within the United States

Salary: $157,000–$232,650 per year, depending on geographic market and qualifications.

Company

hirify.global provides active insurance coverage and cybersecurity tools to help businesses prevent and manage digital risk.

What you will do

• Define architecture and engineering standards for Snowflake, dbt, orchestration, streaming, batch ELT, and infrastructure as code.
• Design governed Medallion pipelines and domain-oriented models for insurance and security data.
• Build reusable data products, data contracts, feature stores, and semantic models for BI, actuarial, AI/ML, and operational users.
• Establish observability, quality, lineage, security, access control, and incident-management practices for regulated workflows.
• Develop foundations for feature engineering, embeddings, vector search, and retrieval-augmented AI applications.
• Partner with engineering, product, underwriting, actuarial, security, and business teams while mentoring engineers and aligning architecture with outcomes.

Requirements

• 9–12 years of experience building and operating production data platforms, including ownership of architecture for complex or high-scale systems.
• Deep expertise in Snowflake and dbt, including optimization, incremental processing, cost management, testing, and deployment.
• Strong Python, analytical SQL, data modeling, and dimensional modeling or Data Vault 2.0 experience.
• Experience with batch and streaming pipelines and technologies such as Airflow, Dagster, Prefect, Kafka, Kinesis, Snowpipe Streaming, or Dynamic Tables.
• Experience establishing data products, contracts, domain ownership, SLAs, lineage, quality standards, and access controls across teams.
• Production experience with feature engineering or AI data systems and governed Looker and LookML semantic models.

Nice to have

• Insurance domain modeling experience covering underwriting, claims, reinsurance, policy exposure, or loss data.
• Experience with Snowflake Cortex, Feast, DataHub, Atlan, OpenLineage, Elementary, dbt-expectations, or Evidently AI.
• Experience with RBAC, row-level policies, column masking, PII tokenization, audit logging, Terraform, and CI/CD.
• Experience using AI-assisted development tools such as Cursor or GitHub Copilot.

Culture & Benefits

• Remote-first and inclusive work environment.
• 100% medical, dental, and vision coverage.
• Flexible PTO policy.
• Annual home office stipend and WeWork access.
• Mental and physical health wellness programs and opportunities for advancement.