Data Engineer (Hybrid)

The everything app for hourly teams, providing employee scheduling, time clocks, payroll, team communication, and HR solutions for small businesses.
Data
Mid-Level Software Engineer
Hybrid
4+ years of experience
Enterprise SaaS

Description For Data Engineer (Hybrid)

Homebase, the leading provider of team management solutions for small businesses, is seeking a Data Engineer to join their growing team. This role offers an exciting opportunity to work with a company that serves over 100,000 small businesses and has tracked more than 1 billion hours for 2.5+ million workers last year.

As a Data Engineer, you'll be instrumental in developing and maintaining data pipelines, building sophisticated data models, and creating impactful reports that drive business decisions. The position requires expertise in Python, SQL, and modern data tools like Databricks and DBT. You'll work in a hybrid environment, with the flexibility of working from home three days a week.

The ideal candidate will bring 4+ years of data engineering experience and a strong background in dimensional data modeling. You'll be joining a company backed by prestigious venture investors and will have the opportunity to make a real impact on small businesses across the country.

What makes this role particularly attractive is the comprehensive benefits package, including stock options, competitive health benefits, and a strong focus on work-life balance. The company culture emphasizes diversity and inclusion, welcoming team members from all backgrounds to contribute their unique perspectives.

Working at Homebase means being part of an unstoppable team that's revolutionizing how small businesses operate. You'll collaborate with cross-functional teams, drive innovation, and have the opportunity to grow both professionally and personally through continued learning opportunities and development stipends.

If you're passionate about data engineering and want to be part of a mission-driven company that's making a difference for small businesses, this role offers the perfect blend of technical challenges, growth opportunities, and meaningful impact.

Last updated 13 hours ago

Responsibilities For Data Engineer (Hybrid)

  • Design, develop, and optimize data pipelines to process large volumes of structured and unstructured data
  • Build and maintain data models using dimensional data modeling techniques
  • Create insightful reports and dashboards to support business performance analysis
  • Collaborate with cross-functional teams to gather business requirements
  • Support data architecture transformation efforts
  • Troubleshoot and resolve data issues
  • Optimize query performance and implement best practices
  • Partner with data scientists and analysts to support their data needs
  • Drive continuous improvement of data processes through automation
  • Take ownership of projects from initiation to completion

Requirements For Data Engineer (Hybrid)

Python
  • 4+ years of experience in data engineering
  • Expertise in SQL
  • Expertise in Databricks
  • Experience with Python and DBT
  • Experience with data architecture transformations using layered architecture patterns in Databricks
  • Experience with compliance standards such as SOC2
  • Excellent communication and collaboration skills
  • Ability to work independently and as part of a team

Benefits For Data Engineer (Hybrid)

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Education Budget
Parental Leave
401k
  • Stock Options
  • Competitive group health benefits
  • Group Investments, TFSA and RRSP plan with 4% company match
  • Medical, Dental, and Vision Insurance Plans
  • Company-paid holidays and 20 days accrued PTO per year
  • Continued learning and development stipend
  • Paid parental leave after 1-year of service
  • Top-of-the-line equipment and workspace setup stipend
  • Work from home days (Monday, Thursday, & Friday)
  • Meals provided at workspaces
  • Team offsites and monthly engagement opportunities

Interested in this job?

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