Staff Data Engineer

Summary

Join QuintoAndar, the largest real estate ecosystem in Latin America, as a Staff Data Engineer. As a pivotal technical leader, you will design, build, and maintain highly scalable data pipelines and platforms. Collaborate with various stakeholders to refine business requirements and implement robust data models. Critically analyze existing data tools, identifying areas for improvement and implementing best practices. Actively contribute to coding and testing, mentoring junior engineers. This remote-first position offers opportunities to contribute to the central data platform team and requires strong software engineering principles, expertise in modern data architecture, and proficiency in Python and SQL. The role involves leading projects across multiple teams and excellent communication skills.

Requirements

• Proven track record applying strong software engineering principles to design, build and operate large-scale data platforms / distributed data systems
• Solid experience in delivering tangible business results through complex data and engineering projects
• Expertise in modern data architecture concepts and technologies (e.g., Databricks, Snowflake, Apache Iceberg/Delta Lake)
• Strong proficiency in Python with a passion for writing clean, maintainable, and well-tested code
• Experience with distributed processing frameworks such as Apache Spark
• Advanced SQL skills and expertise in data modeling techniques for analytical workloads
• Experience with Apache Airflow or other data workflow tools
• Ability to lead and drive projects involving collaboration across multiple engineering, data and business teams
• Excellent communication skills (verbal and written), with a proactive approach to sharing and seeking context to collaborate effectively across diverse teams

Responsibilities

• Design, build, and maintain highly scalable, reliable, and performant data pipelines and platforms that process vast amounts of data from diverse sources
• Partner with data analysts, engineers, and diverse stakeholders to understand and refine business and engineering requirements, proactively identifying and mitigating potential risks
• Design and implement robust data models and transformation layers to create high-quality, reliable, and easily consumable data products for analytics and machine learning, ensuring data integrity and consistency for downstream users
• Critically analyze existing data tools and processes, identifying areas for improvement and implementing best practices to enhance data quality, maintainability, and team productivity
• Actively contribute hands-on with coding, configuration, and testing, leading by example and ensuring high-quality implementations
• Act as a technical reference for the data engineering team and broader Data&AI organization in your business unit
• Mentor and guide junior and mid-level data engineers, fostering their technical growth and contributing to building an excellent, high-performing team

Preferred Qualifications

• Fluency in cloud data services and infrastructure on at least one major cloud provider (AWS, GCP, or Azure)
• Experience with real-time data streaming technologies such as Apache Kafka or Kinesis and query engines like Trino/Presto
• Contributed to or designed data platforms that support Machine Learning pipelines or advanced analytics use cases
• Experience building data pipelines for GenAI applications (e.g. RAG, embeddings, vector databases)
• Knowledge of infrastructure areas such as containers and orchestration, CI/CD strategies, and infrastructure as code

Benefits

• Competitive salary package
• Bonus
• Meal allowance ("Flash Benefícios")
• Public transportation allowance*
• Health plan
• Dental plan (optional)
• Life insurance
• Daycare subsidy
• Subsidy to sports practicing (Wellhub)
• Extended maternity and paternity leave
• Reserved room for breast-feeding
• Discount on our parking lot
• Educational discounts