Manager – Data Engineering
Posted on 2/7/2024
INACTIVE
GlossGenius

51-200 employees

Company Stage

Series C

Total Funding

$70.6M

Founded

2016

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

14%

1 year growth

47%

2 year growth

195%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kotlin
Python
Airflow
React.js
Management
Ruby
SQL
Segment
React Native
Data Analysis
Snowflake
CategoriesNew
Software Engineering
Requirements
  • 5+ years of experience as a software engineer, data engineer, or other data-related role; at least 2 years of management experience
  • Strong Python and SQL skills and knowledge of data modeling, ETL/ELT development principles, data warehousing concepts, and software engineering concepts
  • Experience managing a cloud data warehouse and a workload scheduling and orchestration framework, preferably Snowflake and Airflow
  • Familiarity with the other technologies in our data stack (including Fivetran, Stitch, Segment, dbt, Looker and Hex) preferred
  • Familiarity with languages and technologies used by our Engineering team (including Ruby, Kotlin, React, and React Native) preferred
Responsibilities
  • Lead and grow a small team of Data Engineers, including career and performance management
  • Partner with the Analytics Engineering team build and maintain the roadmap for our data stack and infrastructure
  • Evolve our data stack as GlossGenius’ Engineering organization migrates from a monolith to a service-oriented architecture
  • Facilitate the sharing of data from our warehouse for production and other commercial use cases
  • Be a champion of data privacy and quality
Desired Qualifications
  • Willingness to make build vs. buy decisions for critical pieces of our data infrastructure
  • Familiarity with languages and technologies used by our Engineering team (including Ruby, Kotlin, React, and React Native) preferred
  • A demonstrated self-starter with strong communication and project management skills