Senior Data Engineer

TL;DR

Senior Data Engineer (Data Platform): Building and maintaining scalable data pipelines and analytical models to support financial, product, and inventory decision-making with an accent on Databricks and Spark. Focus on designing high-quality data architectures, ensuring system reliability, and enabling self-service analytics across cross-functional teams.

Location: Must be based in the U.S. (Remote or hybrid in NYC)

Salary: $151,000–$189,000

Company

hirify.global is an AI-driven food and wellness company acting as a personal assistant for healthy living by delivering groceries, recipes, and supplements.

What you will do

• Develop and deploy robust data pipelines using Python and Spark on the Databricks platform.
• Collaborate with business partners in Analytics, Operations, Marketing, and Product teams to power data-driven decision-making.
• Design and maintain the core Analytics data model to ensure high data quality and reliability.
• Set standards for code quality and engineering best practices within the Data team.
• Enable self-service analytics by investigating datasets and translating complex business requirements into technical solutions.

Requirements

• Must be based in the U.S.
• 5+ years of experience in ETL development and data modeling.
• 5+ years of experience in Python.
• 2+ years of experience working with the Databricks Platform.
• Strong proficiency with Spark and complex data pipeline architecture.
• No visa sponsorship available.

Culture & Benefits

• Remote-first culture with optional office access in NYC.
• Comprehensive health, vision, dental, and life insurance.
• 401k with company match.
• Unlimited vacation policy and universal paid parental leave.
• Monthly credit for healthy groceries and a home-office setup stipend.