Sr. Data Engineer

TL;DR

Sr. Data Engineer (Data platform): Designing and building hirify.global's next-generation data platform that powers analytics, experimentation, and AI-driven product features used by millions of users with an accent on architecting and maintaining infrastructure for delivering data. Focus on data services optimized for traditional analytics and emerging GenAI/ML workloads.

Location: Must live in or be willing to relocate to one of the following states to be eligible for hire: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, New York, New Jersey, North Carolina, Pennsylvania, Texas, Vermont, Virginia, Washington.

Salary: $132,145 - $181,699 USD

Company

hirify.global is the world’s leading Connections Platform, empowering businesses to create memorable connections with their customers at every physical and digital touchpoint.

What you will do

• Build well-tested, well-documented data services and improve existing ones—optimized for both traditional analytics and emerging GenAI/ML workloads.
• Create pipelines to move and transform data efficiently and design flexible internal and external APIs to expose our data.
• Establish and enforce architectural and data quality standards, including monitoring, observability, and governance frameworks.
• Collaborate effectively with cross-functional leaders to ensure on-time delivery of key initiatives.
• Support our internal teams in maintaining and designing user tracking events.
• Mentor other engineers on best practices and implementation approaches and champion a culture of continuous learning, technical rigor, and AI-first engineering practices.

Requirements

• You have hands-on experience in data engineering on cloud platforms (GCP preferred), with focus on cost and performance optimization.
• You are adept at clearly communicating technical concepts to engineers and cross-functional stakeholders.
• You are an expert in SQL and Python, with deep experience in data modeling, optimization, and reusable frameworks.
• You have proven track record with modern data stack: orchestration (Airflow), transformation (dbt), streaming (Beam/Spark), and data processing (Dataflow).
• You are experienced in data platform operations: containerization (Docker/Kubernetes), CI/CD pipelines, and data governance.
• You are familiar with modern data paradigms such as lakehouse architectures, event-driven systems, and AI-centric data tooling.

Nice to have

• Understanding of infrastructure-as-code (Terraform) and backend service development (Go).

Culture & Benefits

• Inclusive health, dental, and vision plans built to support diverse lifestyles.
• Generous paid parental leave.
• Robust mental health support and Employee Assistance Program (EAP) with confidential counseling services.
• Flexible PTO policy and company breaks.
• 401k with up to 4% employer match.
• Flexible workspace support provided, including home office, cell phone and WiFi service reimbursement.