Remote Data Jobs · GCP

• Design and build large-scale distributed data pipelines using various technologies.
• Develop ETL/ELT workflows on GCP integrating multiple data sources.
• Implement observability, monitoring, logging, and error-handling within pipelines.

The Data Engineer plays a key role in enabling the development of data products throughout their lifecycle—from ingesting raw, ungoverned data with uncertain analytical value to leveraging well-governed sources already integrated into the company’s data lake. This role requires strong technical expertise and a hands-on approach, with the ability to design and implement scalable, decoupled, and functional solutions, enabling them to automate workflows and build robust, reliable data pipelines.

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

Seeking a motivated and detail-oriented Data Engineering Manager to join our Data Platform and Engineering team. The successful candidate will play a key role in operationalizing support workflows, incident response protocols, and data observability practices across our data platforms. Manage a small team of data engineers focused on operational support, reliability, and platform engineering.

You will lead the development and management of high-quality data labeling pipelines that support our large language models. This role involves building an internal labeling team, working closely with vendors, and designing scalable processes for data annotation. Your work will be critical to the success of our AI models, ensuring that they are trained on top-tier labeled data using crowdsourcing and other data collection techniques.

Lead the design, development, and operation of a modern enterprise data platform, driving cloud-based initiatives and enabling actionable insights across the organization. Manage a team of architects, engineers, and specialists, fostering a culture of innovation, technical excellence, and collaboration. Balance strategic oversight with hands-on involvement in data architecture, platform enablement, and integration across diverse tools and technologies.

Maintain, troubleshoot, and optimize a data ingestion pipeline built with Java and Python. Implement new features and improvements that keep our systems efficient and scalable. Write clean, testable, and well-documented code. Participate in code reviews and share ideas that raise the bar for our engineering practices. Stay curious and up to date with emerging technologies and best practices in data engineering.

This role is a high–impact opportunity to design and build our “next generation” data foundation. You will be designing a platform built to ingest and process multiple concurrent data sources, support complex data fusion, and serve as the backbone for both our analytics and data science modeling initiatives. This is a senior, hands-on “player coach” role and the chief designer and technical authority, translating our future growth goals into a tangible, modular architecture.

We're seeking a GCP Data Analyst to support data validation initiatives and ongoing analytics work. The analyst will work across a variety of data workflows, from validating metrics during system migrations to supporting day-to-day data analysis and reporting needs. You’ll leverage advanced BigQuery features to ensure data integrity and surface meaningful insights.

We are seeking a Data Scientist to support digital transformation initiatives. The contractor will be responsible for analyzing complex datasets, developing data pipeline strategies, and implementing AI/ML models to transition operations from reactive to predictive. This role requires both technical expertise and business acumen to ensure data-driven insights lead to tangible process improvements.