Lead Data Engineer (Snowflake)

TL;DR

Lead Data Engineer (Snowflake/Python): Designing and administering a cloud data warehouse platform and scalable data architectures with an accent on ETL/ELT pipeline development and cost governance. Focus on optimizing cloud platform performance, implementing CI/CD for data code, and migrating data from complex ERP systems.

Location: 100% Remote (USA) / Deerfield, IL

Salary: $160,555 – $193,000 per year

Company

hirify.global Innovations, Inc. is an industry-leading home, security, and digital products company focused on transforming residential and commercial spaces.

What you will do

• Administer Snowflake cloud data warehouse, including roles, permissions, security, and cost governance.
• Design and implement scalable, reliable, and secure data architectures and models.
• Develop and maintain robust ETL/ELT pipelines for data movement.
• Build complex data transformations and models using dbt or similar frameworks.
• Implement CI/CD pipelines for data code to ensure deployment stability and quality.
• Migrate and load data from various APIs, SaaS applications, and ERP systems such as Oracle or SAP.

Requirements

• Bachelor's Degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in data engineering or data operations.
• Proficiency in professional SQL and Python development with strong code-quality and testing practices.
• Experience with cloud data warehouse platforms (Snowflake, Amazon Redshift, or Google BigQuery).
• Expertise in dbt for data transformation and version control via Git.
• Experience with Unix-based command-line tools and CI/CD implementation for data.

Culture & Benefits

• Competitive base salary with an annual performance-based bonus plan.
• Market-leading 401(k) program with company contribution.
• Comprehensive health and wellness plans prioritizing overall wellbeing.
• Flexible time off, adoption benefits, and product discounts.
• Inclusive environment with Employee Resource Groups (ERGs) to foster belonging.