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Get AI-powered advice on this job and more exclusive features. Hi, Future Homie! At Homebase, youll join a team thats bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team. Were not just building an appwere building unstoppable teams. So what do you say, are you in? Your Impact Starts Here Data Engineer Were looking for a Data Engineer to help us revolutionize how small businesses harness data. This isnt just another pipeline roleits an opportunity to shape the foundation of AI-driven, velocity-powered insights that fuel everything we build at Homebase. Youll develop and maintain pipelines, models, and reporting that turn raw data into smarter products and faster solutions. This role requires both technical craft and ownershipyoull take projects from idea to production, ensuring scalability, reliability, and measurable business impact. Design, develop, and optimize data pipelines to process structured & unstructured data at scale Build and maintain data models (fact, dim, SCD2, medallion/layered, marts) Create reports and dashboards to support business performance analysis Partner with product, data science, and analytics teams to enable AI-powered features Support data architecture transformation & migration on Databricks Troubleshoot and resolve data quality/performance issues quickly Optimize queries and enforce best practices for reliability and velocity Drive continuous improvement of workflows through automation and experimentation Own projects end-to-end: planning execution delivery Qualifications 5+ years of software/data engineering experience Expertise in SQL (window functions, CTEs, complex joins) Intermediateadvanced Python (OOP, testing, package management) Experience with Databricks (streaming, Unity Catalog, resource management) Experience with Spark (partitioning, skew handling, delta ops, Spark UI) Strong knowledge of data modeling & architecture Experience with DBT, Airflow, Kafka, API/S3 ingestion Comfort with deploying/monitoring ML models in production (batch, streaming, real-time inference) Ability to explain technical concepts clearly to non-technical teammates Ownership mindset: self-driven, proactive, accountable The Homie Way Be Customer Obsessed Solve problems with empathy and creativity. Move Fast, Learn Fast Experiment, take action, and grow every day. Own Your Impact Think big, focus on what matters, and make decisions you stand behind. Master Your Craft Excellence fuels impactshow up, step up, and make your mark. Win Together Put goals over roles, lead with trust, and connect to our mission and each other. What We Offer Ownership & Savings: Stock options + TFSA/RRSP with 4% company match Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents Time Flexibility: Flex time off + company holidays + designated focus periods Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service) Work Your Way: Work From Anywhere Month + meeting-free weeks yearly Protection Plans: Life insurance + short/long-term disability coverage Workspace Perks: Meals provided, team offsites, and Customer Days Hybrid Rhythm: Tuesdays and Wednesdays are required in-office days for collaboration and decision-making Interview Process Meet the Talent Acquisition team, Mavel W. Meet the Hiring Manager, Paul W. Participate in a Talent Showcase Meet Cross-functional Partners Background Check + Offer Stage Welcome to the team, Homie Belonging at Homebase - Were committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many formsso if youre excited about this role, even if you dont meet 100% of the qualifications, we encourage you to apply! Homebase will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us knowwere committed to ensuring fair and equitable access for all. #J-18808-Ljbffr