Remote Data Jobs • Airflow

As the founding Data Engineering hire, you will lay the tracks that let our teams turn product, operations, and GTM data into decisions quickly and reliably. This role sets up our end-to-end data platform so every team has trustworthy, timely, self-serve insights, directly supporting our mission of resilient data everywhere.

As a Data Analytics Manager at an early stage and high-growth company, you’ll play a critical role in turning raw data into insights that shape product decisions, drive strategy, and improve the customer experience. This is a hands-on leadership role for someone excited to define and execute a modern data strategy in a high-growth environment.

This Data Engineer II role is to build robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes. Responsibilities include translating business needs into effective data solutions, architecting and implementing ETL workflows, conducting rigorous testing, identifying process improvement initiatives, and resolving data-related issues.

Join the Data Science team focusing on the Motors vertical, build infrastructure for agents and models, refine them for optimal performance, test, and deploy them to production. Maintain strong relationships with stakeholders by translating their requirements into achievable projects. Partner with Engineering and Product to deliver solutions to customers, track KPIs, and collaborate with the Experimentation team.

Shape the future of how Wikimedia’s vast data ecosystem serves both internal teams and the global community, helping drive the Data Platform Engineering team’s effort to unify data systems across the Wikimedia Foundation to deliver scalable solutions that support internal and external platform users and the open knowledge movement.

This role focuses on ingesting production energy data and helping get the aggregated metrics to the many teams in GoodLeap that need them. The successful candidate will have strong technical skills to create secure and performant data pipelines and support our foundational enterprise data warehouse.

As a Data Engineer on the Data Analytics team, you will play a pivotal role in building and maintaining robust, reliable, and scalable data infrastructure. This position is critical for ensuring our data infrastructure keeps pace with our analytical needs. You will contribute to improving our data foundation, and future-proofing our capabilities for advanced analytics and analytics self-service.

Shape a data ecosystem that empowers every team to make smarter decisions. This high-impact, cross-functional role is our first Data Engineer hire and will blend engineering with analytics, visualization, and storytelling. You’ll build and own scalable data pipelines, power self-serve dashboards, and guide strategic insights that support everything from Product to Client Success.

You’ll play a critical role in building out and scaling our ML and data platforms and will empower data scientists, analysts, and other stakeholders to better leverage our data to drive our business forward. You will design, build, and operate large scale data infrastructure systems across multiple environments to store, aggregate, and progress large amounts of data.

As a Data Engineer, you will play a critical role in the greenfield migration from a legacy data center to a modern cloud-based architecture. You will help shape the foundation for scalable and reliable data infrastructure, ensuring current data flows are understood, stabilized, and partly redesigned. This is a technical and analytical role with significant responsibility for reliable data processing and delivery.