Jobber
SaaS • B2B
Jobber is a SaaS platform that helps home-service businesses (such as HVAC, plumbing, landscaping, cleaning, and other field service trades) manage quoting, scheduling, dispatch, invoicing, payments, customer communications, and operations from a single app. It offers CRM, automated workflows, AI features for job pricing and communications, online booking and payments, and reporting to help small and midsize service contractors save time, win more jobs, and grow revenue.
501 - 1000 employees
Founded 2011
☁️ SaaS
🤝 B2B
Senior Data Engineer, Platform
Job not on LinkedIn
November 25
Jobber
SaaS • B2B
Jobber is a SaaS platform that helps home-service businesses (such as HVAC, plumbing, landscaping, cleaning, and other field service trades) manage quoting, scheduling, dispatch, invoicing, payments, customer communications, and operations from a single app. It offers CRM, automated workflows, AI features for job pricing and communications, online booking and payments, and reporting to help small and midsize service contractors save time, win more jobs, and grow revenue.
501 - 1000 employees
Founded 2011
☁️ SaaS
🤝 B2B
📋 Description
• Build scalable data solutions: Design, develop, and maintain batch and real-time data pipelines within cloud infrastructure (preferably AWS) • Empower internal teams: Develop tools and frameworks that automate manual processes, set up alerting/monitoring systems, and help teams run data-driven experiments and analyze results • Accelerate business growth: Collaborate with data analysts, scientists, and product teams to extract actionable insights from data • Strategic planning and innovation: Lead initiatives to research and propose new technologies and tooling for our data stack • Data integrity: Own the integrity of our data and maintain a high level of trust across the organization
🎯 Requirements
• Strong coding skills in Python and SQL • Expertise in building and maintaining ETL pipelines using tools like Airflow and dbt • Experience working with AWS data infrastructure, particularly Redshift, Glue, Lambda, and ECS Fargate • Familiarity with handling large datasets using tools like Spark or similar (e.g., Trino) • Experience with Terraform for infrastructure management • Experience with dimensional modelling, star schemas, and data warehousing in a cloud environment (preferably AWS Redshift) • Knowledge of CI/CD processes, data ingestion, and optimizing data flow across systems • Proficient in working with high-volume, scalable data infrastructure
🏖️ Benefits
• Health insurance • Retirement savings matching • Extended health package with fully paid premiums for body and mind • Stipends for health and wellness • Equity rewards • Talent development program that includes career coaching and opportunities for career development • Support for vacations and health days
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