Staff Data Engineer (AI)

TL;DR

Staff Data Engineer (AI): Building a privacy-first data platform that powers personalized mental health support with an accent on data infrastructure, experimentation, and AI-ready capabilities. Focus on shaping technical strategy, mentoring others, and delivering personalized care to millions of members.

Location: Must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office.

Salary: $140,400-224,250 + equity + benefits.

Company

hirify.global exists to provide every person access to lifelong mental health support.

What you will do

• Lead the implementation of a resilient, privacy-first data platform architecture that powers personalization, ethical AI, and accelerates data-driven decisions.
• Lead the design, infrastructure, and tooling decisions for platform optimization and consolidation efforts.
• Develop AI-ready architecture by creating semantic layers that define and standardize business logic.
• Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance.
• Act as a technical thought leader, shaping the company’s data strategy and influencing cross-functional roadmaps with data-centric solutions.

Requirements

• 6+ years in data engineering, with extensive experience in data platform development, complex data model designing, and data compliance implementation.
• Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake).
• Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake.
• Demonstrated expertise in architectural patterns for building high-volume ETL pipelines.
• Experience with data modeling, Medallion architecture, pipeline design, metrics calculation and technical documentation.
• Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration.

Nice to have

• Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement.
• Exposure to event streaming (Kafka, EventHub) and CDC tools.
• Experience in deployment and infrastructure management using Terraform is a plus.
• Prior experience implementing governance, privacy, and security frameworks across a data platform.
• Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data.
• Experience migrating or working with DBT for transformations, documentation, and lineage tracking.

Culture & Benefits

• A mission that matters—with impact you can see and feel.
• A culture that’s collaborative, inclusive, and grounded in our values.
• The chance to shape what mental health care looks like next.
• Competitive pay and benefits that support your whole self.