Data Engineer , Resq

• Bachelor’s degree in Computer Science, or a related field, or equivalent experience
• 3+ years of experience in data engineering or a related role within a tech environment
• Proficiency in data technologies such as SQL and DBT, and in programming in Python
• Proficiency in SQL, Python, and cloud-based data warehousing tools; familiarity with DBT, Airflow, and BigQuery (or similar)
• Proven experience in working with cross-functional teams and presenting data-driven recommendations to senior stakeholders
• Strong understanding of product development processes
• Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment

Desirable

• ResQ is looking for a Data Engineering to join our Engineering team and help us take ResQ to the next level
• As a Data Engineer joining ResQ, you will play a pivotal role in driving the strategic direction of our product line
• You’ll generate actionable insights and maintain reliable, scalable data pipelines that support data-driven decision-making across teams
• Your expertise will be crucial in guiding the product development organization to collect data for analysis and experimentation
• Build and Maintain Data Pipelines: Design, develop, and optimize ETL pipelines using tools like Airflow or similar workflow orchestration systems. Ensure data reliability and efficiency for downstream analytics and reporting needs
• Data Modeling and Transformation: Implement and maintain data models in DBT (or similar), ensuring data consistency, quality, and readiness for analysis. Develop and manage transformation workflows to support scalable data warehousing
• Data Warehousing and Storage: Work within cloud data warehouses (such as Google BigQuery) to ensure optimized data storage and retrieval. Develop best practices for data warehousing, focusing on cost efficiency and performance
• Collaboration and Support: Partner with data analysts, product teams, and stakeholders to understand data requirements and translate them into technical solutions.Provide guidance and support for data-driven projects, ensuring the right data is available for business insights
• Monitoring and Optimization:Implement monitoring tools to ensure data quality and pipeline health, proactively troubleshooting issues. Continuously optimize data processes for efficiency, scalability, and cost-effectiveness
• Documentation and Best Practices: Document data processes, models, and workflows to ensure clarity and transfer of knowledge within the team. Promote best practices in data engineering and data governance

• While we are never perfect, we have aimed to build a process that fosters fairness and helps to minimize bias, this includes structured processes and interviews. Our goal is that everyone interviewed has a positive experience, regardless of the outcome
• Stage 1️⃣: Send us your resume and a note about how your story connects to ours. Feel free to focus on what you have learned rather than just a list of responsibilities. Tell us your story! We’ll aim to tell you quickly if it is not the right fit so you are always informed
• Stage 2️⃣: Successful candidates will meet with our Talent lead. It will be standardized to keep things fair but also with enough room to show your uniqueness. We’ll communicate the salary range now for full transparency. If you like us and we also think there is a fit, we’ll invite you to the next stage
• Stage 3️⃣: A call with our Co-Founder/Head of Engineering who will ask you more in depth questions about your experience and skills. Come with questions!
• Stage 4️⃣: This stage will be an opportunity to meet a member of our Data team. This will be a great opportunity for you to get a glimpse into your day to day at ResQ and understand the different projects you may work on
• Stage 5️⃣: This round will be a technical case study interview, this will be a panel style interview and will include a few members from our engineering team
• Stage 6️⃣: This is the final stage in the process where you will meet our CEO, KJ. This stage will be more of an introductory call and less focused on your in depth skills and knowledge. KJ will share with you more about ResQ’s vision and mission. He will also ask you some more questions and he will, of course, be able to answer any additional questions you might have