Remote Data Jobs · BigQuery

• 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.

• Interrogate data in Google Big Query and develop data pipelines for analysis and reporting.
• Build reports and dashboards using Looker Studio.
• Be accountable for servicing information to our operations managers and team leaders.

Design, build, and maintain robust data pipelines and warehouses that support analytics, machine learning, and real-time data products. Work closely with engineers, data scientists, and product teams to integrate and curate complex datasets from multiple sources, ensuring data quality, accessibility, and scalability. Contribute to evolving the data infrastructure and implement best practices across the software development lifecycle.

Seeking a Data Solutions Architect with expertise in Master Data Management (MDM) and Service oriented Architecture to design and implement scalable, high-performance data solutions. Focus on enterprise data integration, governance, and architecture modernization, ensuring seamless data flow across multiple systems while adhering to industry best practices. Will work closely with data engineers, architect, and product/business stakeholders.

As a Senior Growth Business Analyst at Huckleberry, you will be a key driver in shaping the strategy of our new revenue initiatives through advanced analytics and insight. You will analyze how families discover Huckleberry across marketing channels, attribution sources, and platforms, and how they move through our web and app funnels, onboarding experiences, upsell flows, and purchase paths. You will also play a pivotal role in strengthening analytics maturity across the company.

An exciting opportunity to design, develop, and lead advanced data engineering solutions in a fully remote environment, working with large, heterogeneous datasets to build and optimize data pipelines, data lakes, and data warehouses that drive business insights. Collaborating closely with cross-functional teams and stakeholders to ensure high-quality deliverables, create impactful reports and dashboards, and implement scalable solutions.

Architect, build, and optimize high-performance cloud-based data solutions on Google Cloud Platform (GCP). Play a critical role in transforming complex business requirements into scalable and secure architectures that support data-driven decision-making. Working closely with cross-functional teams, design robust ETL/ELT pipelines, optimize BigQuery warehouses, and ensure strong data governance and security standards. This position emphasizes technical leadership, mentorship, and collaboration.

Looking for a Google Analytics & Data Integration Specialist to support a key client in enhancing their analytics ecosystem. This role focuses on optimizing existing Google Analytics and BigQuery setups, laying the foundation for a broader, cross-platform analytics strategy, and connecting web, mobile, and offline experiences.

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.

The Data Engineer will be key in the design, construction and evolution of the engineering, BI and Generative Artificial Intelligence ecosystem. Their purpose will be to transform the company's financial records into actionable information, enabling strategic and operational decisions of high impact for the business. They will design and build data pipelines from multiple sources to the Data Lake, ensuring scalability, performance and quality.