
51 - 200 employees
💰 Venture Round on 2022-03
Tekmetric is a management software designed for auto repair shops. Businesses can easily create customer profiles, schedule customer appointments, perform digital vehicle inspections, upload photos, build repair orders with built-in labor guides, manage inventory, track parts, monitor job workflows, set custom labor rates, shop fees, and taxes, send texts and emails to customers, measure job profitability, gross sales, technician hours spent, and more. By leveraging data, shops of all sizes can improve efficiency, productivity, and profitability.
🕒 April 2
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51 - 200 employees
💰 Venture Round on 2022-03
Tekmetric is a management software designed for auto repair shops. Businesses can easily create customer profiles, schedule customer appointments, perform digital vehicle inspections, upload photos, build repair orders with built-in labor guides, manage inventory, track parts, monitor job workflows, set custom labor rates, shop fees, and taxes, send texts and emails to customers, measure job profitability, gross sales, technician hours spent, and more. By leveraging data, shops of all sizes can improve efficiency, productivity, and profitability.
• Own the data engineering roadmap, tightly coupled to Tekmetric's product vision and AI ambitions. • Lead, mentor, and scale a high-performing data engineering team. • Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark. • Build the pipelines and feature stores that feed directly into product features and AI/ML models. • Partner with Product and Engineering to identify where data and AI can create step-change improvements in the customer experience. • Design data architectures that support both analytical workloads and real-time, in-product data serving. • Champion data quality, governance, and observability across the organization.
• 7–10 years in data engineering or data-focused software engineering, with 3+ years leading and developing engineers. • Deep expertise with Apache Airflow, Apache Spark, and AWS data services (S3, Redshift, EMR, Bedrock, Lambda). • Strong SQL and Python skills; Java or Scala a plus. • Experience building data infrastructure that serves product features and AI/ML workloads — not just analytics and reporting. • A builder's mindset: excited to grow a team from the ground up while still rolling up your sleeves. • Equally comfortable in a product roadmap discussion and an architecture review. • Thrives in fast-paced, high-growth environments where priorities evolve quickly.
• Enjoy the flexibility of remote work • Competitive base salaries that reflect your value. • Generous Paid Time Off, because we know you do your best work when you're well-rested. • Support for every stage of life—with paid maternity, parental bonding, and medical leave for you or your loved ones. • Comprehensive health benefits, including Medical, Dental, Vision, and Prescription coverage. For employee only, we offer plans that cover 100% of premiums and we cover 50% of costs for families. • Prioritizing your mental health: get free, confidential counseling through our partnership with BetterHelp. • 401(k) Retirement Savings Plan with 100% employer match on contributions up to 6% - so your future self will thank you. • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) to make your money go further. • Life and Accidental Death & Dismemberment (AD&D) Insurance for added peace of mind. • Wellness on your terms: get up to $60/month toward fitness, mental health, or almost anything that helps you feel your best. • After one year of employment, enjoy a $300 home office setup bonus to help make your space work for you. • Keep growing with support for continuing education - we’re invested in your development.
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