You will work on real-world, high-impact projects across a variety of industries. You will have the opportunity to collaborate with QB/Labs teams and build complex and innovative ML systems to accelerate our work in AI and help solve business problems at speed and scale.
You will experience the best environment to grow as a technologist and a leader. You will develop a sought-after perspective connecting technology and business value by working on real-life problems across a variety of industries and technical challenges to serve our clients on their changing needs.
You will be surrounded by inspiring individuals as part of diverse and multidisciplinary teams. You will develop a holistic perspective of AI by partnering with the best design, technical, and business talent in the world as your team members.
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
As a Data Engineer, you will:
- Contribute to cross-functional problem-solving sessions with your team and our clients, from data owners and users to C-level executives, to address their needs and build impactful analytics solutions
- Have the opportunity to contribute to R&D projects and internal asset development
- Design and build GenAI applications (RAG, Agentic AI, etc) collaboratively with data scientists
- Map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytics models
- Apply knowledge about clients data landscape and assess data quality
- Create and manage data environments and ensure information security standards are maintained at all times
- Design and build data pipelines for machine learning that are robust, modular, scalable, deployable, reproducible, and versioned
- Help to build and maintain the technical platform for advanced analytics engagements, spanning data science and data engineering work