Data Engineer

Why Quvia?

• Founded in 2019, Quvia is a fast-growing, Series A tech startup passionate about making connectivity and digital experiences better for everyone, everywhere.
• Our industry-first solutions are already addressing major challenges for companies in the aviation and cruise industries – and we're just getting started.
• Quvia is headquartered in the greater Miami region, with offices in the UK and India, and remote teams around the world.
• As an early-stage company, all Quvia employees have the opportunity to make a significant impact on our growth trajectory, and the future of the industries we serve.
• Quvia is backed by Columbia Capital, a respected venture capital firm founded in 1989 that has raised over $5 Bn of fund commitments.
  
  

What You Will Do

As a Data Engineer, you will lead the design and development of scalable, reliable, and high-performance data systems that power analytics and decision-making across the organization. You will serve as a technical authority in data engineering and work cross-functionally to elevate our data infrastructure, accelerate innovation, and drive strategic outcomes.

Your Key Responsibilities Will Include

• Data Architecture & Pipeline Development: Design and build end-to-end data pipelines, including streaming and batch ETL processes, using modern tools and platforms (e.g., Kafka, Airflow, DBT).
• Data Modeling & Warehousing: Develop optimized data models and warehouse schemas to support business intelligence, reporting, and machine learning use cases.
• Collaboration & Communication: Work closely with analytics, data science, DevOps, and product engineering teams to integrate and align data infrastructure with company goals.
• Data Quality & Governance: Implement robust monitoring, testing, and governance practices to ensure data accuracy, consistency, and compliance.
• Performance Tuning & Optimization: Continuously optimize pipeline performance, storage strategies, and query execution for scalability and efficiency.
• Mentorship & Leadership: Mentor junior data engineers, share best practices, and help foster a high-performing, collaborative data team.
• Innovation & Improvement: Drive continuous improvement by evaluating new tools, frameworks, and processes to enhance our data ecosystem.
  
  

What You Will Need

Required Skills & Experience

• Strong programming skills in Python or Java for data pipeline and backend development.
• Deep understanding of SQL and modern data warehousing practices.
• Proficiency with at least one major cloud platform (AWS, GCP, Azure).
• Experience with Kafka for real-time data streaming and ingestion.
• Hands-on experience with Git, Docker, DBT, Jenkins, and Airflow for version control, containerization, and orchestration.
• Ability to lead technical projects and collaborate effectively with cross-functional stakeholders.
  
  

Nice to Have

• Experience with Click House, including table design, performance tuning, and Merge Tree optimization.
• Familiarity with Kubernetes for orchestration of containerized applications.
  
  

What We Offer

• Deep domain exposure in aviation and maritime industries.
• Cross-functional collaboration with global teams.
• Day-one health benefits.
• Generous paid time off.
• Performance-based bonuses.
• A fast-paced, collaborative environment with real ownership and impact.
  
  

Quvia is an Equal Opportunity Employer. Employment opportunities at Quvia are based upon one's qualifications and capabilities to perform the essential functions of a particular job. All employment opportunities are provided without regard to race, religion, sex (including sexual orientation and transgender status), pregnancy, childbirth or related medical conditions, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by law.