Senior Data Engineer (People Technology)

TL;DR

Senior Data Engineer (People Technology): Building a greenfield People Analytics platform from scratch on GCP/BigQuery using dbt and CData to ingest and transform HR data from SuccessFactors and Greenhouse into AI-ready insights. Focus on architecting scalable infrastructure, modular transformation layers, governance, security, and optimized data marts for Tableau.

Location: Austin, Texas

Company

hirify.global is a people-first company helping customers accelerate business transformation with simple, powerful, and secure solutions.

What you will do

• Provision and manage GCP/BigQuery environment using Terraform, defining project structure and governance.
• Own full pipeline: configure CData for syncing HRIS/ATS data into BigQuery and build dbt transformation layers (Staging, Intermediate, Marts).
• Ensure AI readiness with clean, versioned, documented data for BigQuery ML predictive modeling.
• Implement IAM policies, data masking, and access controls for sensitive HR/PII data.
• Build performant data marts optimized for Tableau dashboards.

Requirements

• 5–8+ years in Analytics Engineering, Data Engineering, or highly technical Data Analyst roles.
• Track record leading or contributing to greenfield data platform builds with scalable architecture decisions.
• 3+ years hands-on with Git/GitHub and CI/CD pipelines, treating data transformation as software engineering.
• Expert SQL with complex window functions and performance optimization.
• Strong dbt experience (Jinja, macros, modular modeling).
• Hands-on GCP/BigQuery: project structure, governance, partitioning/clustering, IAM/security.
• Domain fluency in HR metrics (Attrition, Headcount, Diversity, Time-to-Fill) and dimensional modeling.

Culture & Benefits

• Full architectural autonomy to define schema, security, and tooling without legacy constraints.
• Work with modern gold-standard stack (GCP, BigQuery, CData, dbt).
• High-impact role influencing hiring, retention, and talent development.
• Path to AI/ML with predictive modeling evolution.
• Culture emphasizing clean code, automated testing, rigorous documentation, and avoiding technical debt.