Data Engineer

ResQ is a SaaS-enabled marketplace that helps fast-growing restaurants manage their repairs and maintenance, empowering them to focus on their customers.
Miami, FL, USAToronto, ON, Canada
Data
Mid-Level Software Engineer
Hybrid
3+ years of experience
Enterprise SaaS

Description For Data Engineer

ResQ, a SaaS-enabled marketplace for restaurant repairs and maintenance, is seeking a Data Engineer to join their Engineering team. As a Data Engineer at ResQ, you will play a crucial role in driving the strategic direction of their product line by generating actionable insights and maintaining reliable, scalable data pipelines. Your responsibilities will include building and maintaining data pipelines, data modeling and transformation, working with cloud data warehouses, collaborating with cross-functional teams, monitoring and optimizing data processes, and promoting best practices in data engineering.

The ideal candidate should have a Bachelor's degree in Computer Science or related field (or equivalent experience), 3+ years of experience in data engineering, proficiency in SQL, Python, and cloud-based data warehousing tools, and familiarity with DBT, Airflow, and BigQuery. You should have strong problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.

ResQ offers a structured interview process designed to be fair and minimize bias. The company values diversity and is committed to creating an inclusive workplace. They encourage applications from candidates who may not meet all requirements, recognizing the importance of diverse perspectives and experiences.

Join ResQ to be part of a mission-driven team working to revolutionize the service industry, specifically in the restaurant sector. You'll have the opportunity to work on challenging problems, collaborate with cross-functional teams, and make a significant impact on the company's data infrastructure and decision-making processes.

Last updated a month ago

Responsibilities For Data Engineer

  • Design, develop, and optimize ETL pipelines
  • Implement and maintain data models in DBT
  • Work within cloud data warehouses (such as Google BigQuery)
  • Partner with data analysts, product teams, and stakeholders
  • Implement monitoring tools to ensure data quality and pipeline health
  • Document data processes, models, and workflows

Requirements For Data Engineer

Python
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • 3+ years of experience in data engineering or related role
  • Proficiency in SQL, Python, and cloud-based data warehousing tools
  • Experience with DBT, Airflow, and BigQuery (or similar)
  • Strong understanding of product development processes
  • Exceptional problem-solving skills and attention to detail

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