Remote Data Jobs • Kafka

In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and systems to support a wide range of analytics and business intelligence solutions. You will work closely with cross-functional teams including data scientists, analysts, and engineers to provide data solutions that drive key business decisions.

Join our platform engineering team as a Data Engineer, where you will design, build, and maintain data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and hands-on technical skills. You will play a key role in shaping the foundation of Prepared’s engineering culture.

This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe.

We are looking for a lead-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you. You will work with product and engineering leaders to define data solutions that support customers’ business practices.

Help shape the future of healthcare data as a Senior Data Engineer for Accompany Health. Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care, driving change in healthcare by building products to integrate fragmented healthcare services. Architect and own our data platform strategy, lead the design and implementation of scalable data infrastructure, and create data tools for analytics and data scientist team members.

As a Data Developer, you will integrate into the team and contribute to challenging and innovative projects, working with one of the largest datasets in the sector within a big data platform hosted on AWS, while ensuring the timeliness and quality of information for investment monitoring journeys.

Architect batch + stream pipelines (Airflow, Kafka, dbt) for diverse structured and unstructured marked data. Provide reusable SDKs in Python and Go for internal data producers. Implement and tune S3, column‑oriented and time‑series data storage for petabyte‑scale analytics; own partitioning, compression, TTL, versioning and cost optimisation. Develop internal libraries for schema management, data contracts, validation and lineage.

This Lead Architect will be responsible for driving build-out and standardization in technologies, processes and patterns used in our Cloud Data Engineering efforts. As a Lead Architect, you will be a technical lead to a high performing agile team in designing & building out both streaming and batch data pipelines and datasets. A key component of this function will be ensuring the technologies and architectures used to build our Data solutions our robust, scalable, resilient, secure, re-useable.

As a Data Engineer on the Attribution & Insights team at Branch, you’ll play a pivotal role in designing, building, and operating components of our highly available, real-time data platform which ingests billions of events per day and delivers rich attribution analytics and insights to top global brands. You’ll work at the intersection of our MMP product stack and core data infrastructure, partnering closely with platform engineers.

Lead the design and evolution of Reddit’s Data Pipeline to support scale and growth. Drive high-impact projects aligned with Reddit’s engineering and business goals. Build a high-performing team, mentor engineers, and establish best practices for data production and governance. Ensure pipeline reliability and collaborate with teams like Ads and ML.