Senior Data Engineer (Snowflake)

TL;DR

Senior Data Engineer (Snowflake): Designing, building, and scaling core data systems to power business and product experiences with an accent on data models for reports, machine learning, and generative AI workloads. Focus on implementing data quality, observability, and governance frameworks to ensure reliable data at scale.

Location: Remote (Must be based in the USA)

Salary: $160,000 - $207,400 per year

Company

hirify.global provides the first and only client experience platform for appointment-based, self-care businesses.

What you will do

• Extend, optimize, and maintain core data models supporting customer reports, ML, and generative AI workloads.
• Collaborate with engineering, product, and analytics teams to deliver customer-facing data products.
• Implement data quality, observability, and governance frameworks for reliable data at scale.
• Document data flows, integration contracts, and operational runbooks to support scaling.

Requirements

• 5+ years of experience in Data Engineering.
• Strong proficiency in SQL and Python.
• Deep expertise in the modern data stack, including dbt, Snowflake, and Looker/Omni.
• Strong understanding of semantic layer design, dimensional modeling, and data architecture.
• Knowledge of data governance, data quality, and security best practices.
• Must be based in the USA.

Nice to have

• Experience with streaming technologies such as Kafka or Flink.

Culture & Benefits

• 401(k) match plus comprehensive dental, medical, vision, and life insurance.
• Flexible vacation day policy.
• Fully remote work arrangement with a monthly work-from-home stipend.
• Equity opportunities and family planning resources.
• hirify.global Bucks Learning and Development program.