Senior Data Engineer

TL;DR

Senior Data Engineer: Building a modern data platform for personalized mental health support with an accent on robust data pipelines and a secure, compliant data foundation. Focus on partnering with analytics, data science, and engineering teams to enable smarter decisions and better member experiences.

Location: Must permanently reside in the US full-time and be based in these cities. 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, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week.

Salary: $122,400-$195,500 + equity + benefits

Company

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

What you will do

• Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake.
• Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements.
• Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics.
• Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation.
• Support peers and champion a culture that values data as a strategic asset across the organization.

Requirements

• 4+ years of proven success designing and implementing large-scale data systems.
• Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)
• Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques
• 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 modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation
• Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration
• BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Nice to have

• 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
• Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement

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