Senior Data Engineer

Job not on LinkedIn

October 31

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $163k - $195k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Shopmonkey

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B2B • Automotive • SaaS

Shopmonkey is a comprehensive shop management software designed to help auto repair and service shops run more efficiently and grow their business. The platform offers a wide range of features including estimates, customer communication, inventory management, workflow organization, team management, reporting, and payment processing. Shopmonkey also includes a marketing suite and integrates with popular tools like QuickBooks and CARFAX. It's a cloud-based, all-in-one solution tailored specifically for various automotive service types such as auto repair, tire shops, quick lube, truck repair, and more. With its user-friendly interface and robust support, Shopmonkey aims to streamline operations and boost profitability for shops of all sizes.

51 - 200 employees

🤝 B2B

☁️ SaaS

📋 Description

• Build, maintain and elevate Shopmonkey's data infrastructure, ensuring peak performance and dependability. • Drive the decision-making process for the selection and implementation of data tools and technologies. • Design and refine data pipelines to ensure smooth and efficient data flow. • Manage the daily operations of the Shopmonkey platform, swiftly identifying and resolving data-related challenges. • Partner with cross-functional teams to develop new data requirements and refine existing processes. • Provide mentorship to junior engineers, supporting their growth and assisting with complex projects. • Contribute to ongoing platform improvements, ensuring a culture of continuous innovation. • Guarantee consistent data delivery to customers and stakeholders, adhering to or surpassing service level. • Monitor and sustain the data infrastructure, covering areas like recalls, message delivery, and reporting functions.

🎯 Requirements

• 5+ years of industry experience and Bachelor's Degree in STEM preferred *additional experience is also accepted in lieu of a degree* • Proven experience with Kubernetes and Cloud infrastructure (GCP preferred) • Strong proficiency in Python and SQL for data processing and automation. • Expertise in orchestration tools such as Airflow, Docker, etc.. • Understanding of performance optimization and cost-effectiveness in dataware houses like Snowflake, ClickHouse, etc. • Ability to work effectively in a collaborative, cross-functional environment. • Strong problem-solving skills with a proactive and solution-oriented mindset. • Experience with additional orchestration tools like Dogster or Meltano. • Knowledge of DBT, particularly in setting up new projects. • Demonstrated ability to build and maintain complex data pipelines and data flows.

🏖️ Benefits

• Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date • Short term and long term disability • Employee assistance program • Reimbursement for a personal health and wellness membership • Generous parental leave • 401(k) available upon hire • 11 paid holidays • Flexible time off - take the time off you need! • Matching donations for approved charitable organizations • Group volunteer efforts