Data Engineer • Senior

Who you are

You have proven experience writing highly maintainable and performant Python and PySpark code — you understand the intricacies of data processing and can optimize for performance and scalability. Your strong understanding of cloud environments, particularly Microsoft Azure, allows you to leverage cloud-native solutions effectively. You are familiar with data orchestration systems such as Dagster or Apache Airflow, enabling you to design and implement robust data pipelines. Your experience with containerization platforms like Docker and orchestration systems such as Kubernetes ensures that you can deploy and manage applications efficiently. You thrive in a collaborative environment, effectively communicating with team members and stakeholders to deliver outstanding results.

What you'll do

As a Senior Data Engineer at YLD, you will be part of a client team focused on building innovative data products. You will design and implement scalable, resilient, and fault-tolerant architectures that meet client needs. Your role will involve writing high-quality code and developing data pipelines that integrate various data sources. You will collaborate closely with other engineers and product teams to ensure that the data solutions you create deliver value and insights. You will also be responsible for mentoring junior engineers, sharing your knowledge, and fostering a culture of continuous improvement within the team.

What we offer

YLD provides a remote-first working environment, allowing you to work flexibly while maintaining a healthy work-life balance. We value diversity and encourage applications from all backgrounds. Our team is committed to professional growth, and we offer opportunities for skill development and career advancement. Join us to be part of a talented group dedicated to delivering impactful solutions for our clients.