Senior Analytics Engineer

Location: Hybrid role based in the New York office, United States

Salary: $150,000–$185,000 per year, plus equity and bonus opportunities

Company

hirify.global operates an enterprise data platform that supports analytics and decision-making across Sales, Finance, Product, and Operations.

What you will do

• Design, build, and maintain dbt models that transform raw data from Salesforce, Workday, product systems, and other sources.
• Create reliable, well-documented datasets for analytics and reporting.
• Implement data quality testing, monitoring, and documentation practices.
• Build and maintain Sigma data models and workbooks for self-service business intelligence.
• Translate analytical needs from business stakeholders into scalable data models.
• Partner with data engineers on source data requirements, ingestion, and infrastructure.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a similar data-focused role.
• Expert-level SQL skills, including complex joins, window functions, CTEs, and performance tuning.
• Strong experience with dbt and hands-on experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift.
• Understanding of dimensional modeling and data warehouse design patterns.
• Experience creating BI dashboards, data models, or semantic layers, plus strong Python skills for analysis, automation, or pipeline work.
• Strong communication skills and a bachelor’s degree in a quantitative field or equivalent practical experience.

Nice to have

• Experience with Sigma Computing.
• Familiarity with Elementary, Great Expectations, or similar data quality frameworks.
• Knowledge of data governance practices, including PII handling, access controls, and documentation standards.
• Experience with version-controlled, CI/CD-driven analytics workflows.
• Prior experience in a small data team with broad responsibilities.

Culture & Benefits

• Hybrid work arrangement from the New York office.
• Equity and bonus opportunities are offered in addition to salary.
• Close collaboration with data engineers, analysts, and business stakeholders.