Data Engineer
Hybrid
Posted on 4/5/2023
INACTIVE
Homebase

501-1,000 employees

Comprehensive management tools for hourly teams
Company Overview
Homebase is a highly efficient tool for small businesses, providing a comprehensive suite of services including employee scheduling, time tracking, payroll, and team communication. Recognized by Inc Magazine as Best in Business 2020 Gold Medal Winner and Top Rated Time Clock and Scheduling Software by Motley Fool's The Blueprint, it demonstrates industry leadership and a competitive edge. The company's culture is focused on simplifying administrative tasks, enabling business owners and employees to concentrate on core operations, thereby fostering a productive work environment.

Company Stage

Series C

Total Funding

$141.9M

Founded

2014

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

16%

1 year growth

67%

2 year growth

106%
Locations
Toronto, ON, Canada
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Git
Ruby
SQL
JIRA
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • 3+ years of experience in data engineering or related field
  • Expertise in SQL and proficiency in data modeling and database design
  • Working knowledge of a scripting language like Python, Shell, or Ruby
  • Previous experience with data modeling, ETL/ELT development principles, and data warehousing concepts
  • Strong experience with data transformation tools like DBT or Databricks
  • Ability to break down complex business problems into small constituent units
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to collaborate effectively with cross-functional teams
  • Ability to organize and work on multiple tasks at the same time
  • Ability to work independently as well as effectively within a team environment
  • Working knowledge of Git, Jira, and testing frameworks like great expectations
Responsibilities
  • Develop, maintain, and optimize data pipelines that process large volumes of structured and unstructured data from various sources
  • Build and maintain data models using dimensional data modeling techniques
  • Design and develop reports and dashboards that provide insights into business performance
  • Work closely with cross-functional teams to understand business requirements and translate them into technical specifications
  • Troubleshoot data issues and provide timely resolutions
  • Optimize query performance and implement best practices for database design and development
  • Collaborate with data scientists and analysts to support their data needs
  • Provide technical guidance and mentorship to junior members of the team
  • Continuously improve the quality of our data and analytics processes through automation and innovation
  • Show high ownership over projects and take the initiative to drive them to completion