Remote Data Jobs · Java

The ClickPipes Platform plays a critical role in driving the growth of the company by seamlessly onboarding and integrating data from diverse data sources into ClickHouse. As a backend engineer, you will develop and enhance integrations with various data sources, improve systems based on operational metrics, and contribute to architectural decisions. You will participate in on-call rotations to ensure system reliability.

As a Data Engineer, you will be part of the team delivering the different parts of our production-ready product, while co-designing and implementing an architecture that can scale up with the product and the company. You will implement any type of extraction, build solutions for application integrations, task automation, and design and build data processing pipelines for large volumes of data.

Spearhead the development of an advanced analytics program, collaborating closely with key stakeholders to drive the organization's continuous growth. As a crucial member of our dynamic data department, you will tackle the challenges presented by our unique data pipeline streaming from thousands of MySQL databases to our data warehouse, focusing on scalability, reliability, and performance optimization.

We are seeking a Senior Big Data Engineer with deep expertise in distributed systems, batch data processing, and large-scale data pipelines who has hands-on experience with Oozie, Pig, the Apache Hadoop ecosystem, and programming proficiency in Java (preferred) or Python. This role requires a deep understanding of data structures and algorithms, along with a proven track record of writing production-grade code and building robust data workflows.

As a Data Engineer on the Growth org, you will collaborate with our cross-functional partners in Data Science, Product, and Finance to build and maintain high quality data sources and build software that maximizes the value and efficacy of that data. The team operates independent of skill set, so your peers with software engineering backgrounds will execute on data engineering work, and you will make contributions on software systems that don’t directly work with our data systems.

You’ll play a key role in designing and scaling the infrastructure and pipelines that power the product features, analytics, and machine learning across Sonatype. You’ll work closely with stakeholders across product, engineering, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who thrives on solving complex data challenges at scale and enjoys building high-quality, maintainable systems.

Seeking a highly skilled and experienced Senior Data Engineer to lead the development and management of our data platform. This pivotal role will focus on supporting critical data needs and developing foundational data models that are essential for advancing our cross-border remittances business. Managing users, scaling compute resources, and ensuring the platform operates optimally and efficiently will be key components of this role.

As a Data Engineer Intern, you will work with an experienced data team to design, develop, and maintain our data systems and infrastructure. This internship provides hands-on experience with large datasets, building data pipelines, and using tools for data processing and analysis. You'll be contributing to projects that impact business decisions.

You will join Experian's R&D Lab, developing analytical solutions by applying new technologies, including Quantum Computing. Apply ML, data mining, or text mining techniques to extract data insights and solve complex business issues. Design data structures and storage schemes for efficient handling. Explore and improve the application of Quantum Computing for fraud detection, digital marketing and finance forecasting. Conduct Return on investment and benefit analysis. Document and present model process and model performance.

We’re looking for a Data Engineer to lead the integration of a React/Java application with Monday.com, ensuring smooth, reliable, and secure data synchronization between systems. The ideal candidate will architect scalable data flows, design synchronization strategies, and work closely with developers to deliver high-quality, maintainable solutions.