TL;DR

Data Engineering Manager: Leading development and maintenance of data pipelines and analytics data models to support financial decision making, product development, and inventory management with an accent on data pipeline reliability, code quality, and cross-functional collaboration. Focus on designing data models, deploying pipelines on Databricks, and managing a data engineering team to enable high-quality self-service analytics.

Location: Remote within the United States

Company

%hirify_global% uses AI to build a consumer-centric food and wellness platform focused on healthy living and personalized grocery delivery.

What you will do

Develop and maintain data pipelines using Spark (Python and Scala) on the Databricks platform
Collaborate with cross-functional teams including Food Analytics, Operations, Marketing, and Web/App Development
Ensure system reliability, performance, and data quality
Lead and mentor the Data Engineering team, setting standards for code and data quality
Work closely with Analysts to improve the analytics data model and enable self-service analytics
Investigate datasets to answer business questions and validate assumptions before pipeline deployment

Requirements

Must have 5+ years experience in ETL development, data modeling, Python, and Spark
2+ years managing a Data Engineering team
Experience with Scala and Databricks platform
Excellent problem-solving skills and ability to translate business problems into solutions
Location: Must be based in the United States or able to work remotely within the US
Employer will not sponsor work visas

Culture & Benefits

Remote-first with flexibility to work from home, NYC office, or anywhere in the US
Equity and 401k with company match
Unlimited vacation and universal paid parental leave
Monthly credit for healthy groceries
Comprehensive health, vision, dental, and life insurance
Work from home stipend for office setup