Data Engineer (Hybrid) - job 1 of 2

About Us

Our mission is to make small business teams unstoppable.

Homebase is the everything app for hourly teams, with employee scheduling, time clocks, payroll, team communication, HR, and more. More than 100,000 small (but mighty) businesses rely on Homebase to make work radically easy and give their teams superpowers. As the leader in small business team management, Homebase tracked 1+ billion hours for 2.5+ million workers last year.

Homebase is based in San Francisco, Houston, Denver, and Toronto. We are backed by leading venture investors L Catterton Growth, Emerson Collective, Notable Capital, Bain Capital Ventures, Khosla Ventures, Baseline Ventures, Cowboy Ventures, Bedrock Capital, and PLUS Capital.

👋 Hi, Future Homie! As a Homie, you'll be part of an unstoppable team that puts customers first, embraces each day with excitement, and strives for excellence in everything you do. We’re revolutionizing the way small businesses manage their teams and grow their business. What this means for you is a shared passion for innovation and making a difference for the people we serve.

So what do you say, will you join us on our mission to empower small businesses?

The Data Engineer will be part of the team responsible for developing and maintaining data pipelines, building data models, and creating reports and dashboards that support business choices. The ideal candidate will have a strong background in Python and SQL, experience with tools like Databricks, Airflow, and DBT, and expertise in cloud analytics databases like Redshift.

You will make an impact by:

• Design, develop, and optimize data pipelines to process large volumes of structured and unstructured data from various sources.

• 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 and translate them into technical solutions.

• Support our data architecture transformation efforts

• Troubleshoot and resolve data issues in a timely manner.

• 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 and innovation.

• Take ownership of projects, ensuring successful delivery from initiation to completion.

You are a bar raiser, this means you come with:

• 4+ years of experience in data engineering

• Expertise in SQL

• Expertise in Databricks

• Experience with Python and DBT

• Design, build, and maintain advanced data models to support comprehensive data analytics and reporting

• Develop resilient fact and dimension tables and data marts, transforming raw data into structured datasets to ensure integrity and efficiency.

• Experience having done data architecture transformations using layered architecture patterns in Databricks

• Experience with compliance standards such as SOC2

• Excellent communication and collaboration skills to work effectively with cross-functional teams.

• Ability to work independently and as part of a team in a dynamic environment.

Diversity, Equity, and Inclusion at Homebase

At Homebase, we take pride in fostering a welcoming space where every Homie of every gender, age, orientation, culture, and walk of life can be their full selves. Diverse perspectives empower us to build the best-in-class platform for small businesses and hourly shift workers. We recognize that experience comes in many forms, so if you think you’re close to what we’re looking for (even if you don’t meet 100% of the qualifications), we encourage you to apply!

**Interview Recording Notice:

By participating in interviews with Homebase, you consent to the use of Metaview, a recording and transcription tool, during the interview process. Please be aware that all interviews may be recorded and transcribed for the purpose of evaluating candidates and ensuring the quality of our recruitment process. If you do not consent to being recorded, please inform the Talent Team at the beginning of the call, and appropriate arrangements will be made to accommodate your preference. Your privacy is important to us, and the recorded interviews will only be used for internal evaluation and assessment of candidates.