Remote Data Jobs • Airflow

We're seeking a Senior Data Engineer with expertise in modern data engineering technologies and strong collaboration skills. You will play a critical part in supporting Data Science initiatives, especially around feature engineering and preparing high-quality datasets for advanced analytics and machine learning. If you excel at enabling research through robust data platforms, we’d love to hear from you.

Design, build, and scale data pipelines across a variety of source systems and streams, distributed/elastic environments, and downstream applications and/or self-service solutions. Collaborate with business leaders, engineers, and product managers to understand data needs, extract, transform, and load data from a wide variety of data sources. Implement internal process improvements, automate manual processes, optimize data delivery, and re-design infrastructure.

Build the analytics infrastructure that powers data-driven decisions across our FinTech platform serving millions in Africa. As a Senior Analytics Engineer, you will own analytics datasets and pipelines for specific product domains with real-world impact, driving the analytics direction for your areas.

Help scale the data infrastructure that powers our payments platform. You’ll be responsible for building and maintaining robust, efficient data pipelines and models that support everything from operational reporting to product insights. This is a hands-on role focused on developing and optimizing the modern data stack.

Join Madhive's growing data engineering team as a Senior Data Engineer, where you'll play a crucial role in scaling the infrastructure that powers our universal pixel and transforming high-volume event data into reliable, actionable signals. You’ll work closely with cross-functional teams to build robust, scalable pipelines and models, while helping ensure high data quality across our platform.

As a Senior Data Engineer, you will be a core contributor to the development and maintenance of scalable, secure, and high-performance data pipelines, collaborating with product, analytics, and engineering teams to ensure reliable data availability across the organization. You'll also play a critical role in mentoring junior engineers, adhering to engineering best practices, and proactively improving our data infrastructure.

As a Data Engineer at Kraken, you’ll be responsible for building and maintaining high-performance data pipelines, ensuring the reliability and scalability of our data infrastructure, and enabling teams across the company to access clean, consistent, and timely data. You’ll work with modern technologies and large-scale datasets, playing a key role in making data accessible for analytics, machine learning, and product innovation.

We are looking for a Senior Staff Data Engineer to build commercial products and deliver reliable, scalable, and maintainable applications. You will lead projects from start to finish, collaborating with Product Managers to define requirements and implement solutions. The role focuses on simplicity and enhancing system performance, stability, and user experience, while mentoring other engineers and ensuring high-quality, testable software.

Seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.

As a Senior Data Engineer, you will drive the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate with a dynamic team of data scientists, software engineers, business experts, and visionaries. In this critical role, you will revolutionize inventory decisions for apparel brands.