Remote Data Jobs • Kafka

Seeking a talented and experienced Data Engineer to join the team at Provectus. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. You will encounter numerous technical challenges and will have the opportunity to contribute to the internal solutions, engage in R&D activities, providing an excellent environment for professional growth.

Shape the enterprise-wide data architecture, defining blueprints and bringing them to life to guide engineers, analysts, and AI systems toward interoperability, efficiency, and governance at scale. The role blends deep technical execution with strategic architectural leadership, perfect for someone who thrives in both whiteboard design sessions and hands-on implementation. You’ll own the end-to-end architectural vision for how data flows through Blip.

The Lead Enterprise Data Architect (LEDA) co-owns the data architecture principles of METRO and aligns them to the enterprise data strategy. They drive the principles towards business stakeholders to ensure effective establishing of data domains and are on the fore-front of communicating the value of data to the organization to ensure commitment and buy-in to principles and standards. The LEDA works closely with Enterprise Architecture and Process Excellence along existing landscape and in assessing new initiatives for their fit to data architecture principles.

Join Unit4's AI research team as a Data Engineer. You’ll help build the data foundation that powers intelligent agents and real-time enterprise systems, working with cutting-edge technologies in data architecture, semantic modeling, and AI integration.

Shape analytical standards and implement innovative solutions, impacting operations across Poland and 7 international markets. You'll drive innovation and improvements by evaluating new tools and platform features. Monitor the effectiveness of solutions by tracking implemented actions and evangelize platform users on the best practices, encouraging teams to continuously improve their working methods.

As Head of Data Science & POCs, you’ll lead the team that transforms raw risk and payments data into real-time decisions that power our platform. You’ll drive critical proof-of-concept (POC) and proof-of-value (POV) projects for enterprise customers and financial institutions. This is a hands-on leadership role for someone who’s passionate about fraud prevention, can build from first principles, and thrives in high-stakes environments.

Lead a core team within Webflow’s Data Platform organization, building the scalable, reliable, and self-service data pipelines that power analytics, AI, and product experiences across the company. Partner closely with Data Infrastructure, Analytics Engineering, and Data & Insights to improve data quality, accelerate delivery velocity, and enable data-driven decision-making across Webflow.

You’ll be the engine behind Trust & Safety’s data backbone, ensuring ingestion is reliable, latency is low, and data is correct, so that detection, tooling, and dashboards always have solid ground. As a Data Engineer at Resend, you will build and maintain ETL/streaming pipelines for logs, events, metadata, and attribution.

This role involves designing and scaling Quora's existing data infrastructure, improving system’s reliability, working closely with other teams to improve or create new tooling for our infrastructure, and promoting the correct use of data at the company. You'll be optimizing and enhancing our company’s data architecture/pipelines to support our next generation data initiatives.

Lantern is seeking a Data Engineering Manager to shape the future of their Data Platform. This role involves leading a team of Data Engineers and hands-on contribution to the design, development, and maintenance of the platform. The ideal candidate will have expertise in Data Architecture, batch processing frameworks, and Data Modeling, ensuring smooth data ingestion and export processes.