419 results
FiltersThis role sits at the intersection of science, technology, and client delivery, translating complex analytical workflows into intelligent, scalable software solutions. You will collaborate with cross-functional teams to design, build, and optimize AI-enabled tools for meta-analysis. The ideal candidate will bring strong scientific understanding, product-thinking mindset, and experience implementing cloud-based AI infrastructure.
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful, enabling data-driven decisions and customized customer experiences. As a Senior Data Engineer, you’ll build reliable, scalable, and high-quality data systems. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.
Join our global technology firm in a challenging role focused on driving automation, improving productivity, and leveraging data within core business processes. This hands-on role combines technical expertise in data analysis and automation tooling with a strong focus on generating business intelligence and optimizing organizational processes.
As a Data Engineer at Solflare, you’ll build and optimize the data systems that power our product insights and decision-making, working closely with analysts, product managers, and engineers to design, develop, and maintain scalable data pipelines and infrastructure. Your work will ensure that data is clean, reliable, and accessible across teams—enabling everything from analytics to product strategy and market growth.
Design, develop, and maintain ETL (Extract, Transform, Load) workflows using Esri’s Data Interoperability Extension and Workbench. Create, update, and manage related data tables within enterprise geodatabases to maintain accurate Customer Service Location relationships. Perform ongoing quality control and maintenance of large utility, parcel, and service location datasets to ensure data accuracy, consistency, and integrity.
Looking for an analytics-focused Data Engineer to join our expanding data department, focusing on the operationalization and enrichment of our core data products. This individual will play a key role within our Data Engineering team and requires familiarity with common data processing tools and languages, and adherence to data governance best practices.
Play a pivotal role in optimizing and refining the interaction between AI systems and their users, crafting and testing precise, clear, and effective prompts that guide AI models, such as ChatGPT, to deliver high-quality, relevant responses in line with business objectives to be at the forefront of a new field in AI and to work directly with large language models (LLMs).
FHI is hiring a hands-on Data Engineer who works independently and thrives in a fast-moving environment. You’ll own and support ETL/data pipelines, integrations, and reporting—diagnosing issues, improving data quality, and partnering with BI to deliver reliable, scalable solutions. Maintain and support ETL, data flows, and reporting processes and build and refine data pipelines, assembling large datasets.
This pivotal role is designed for an emerging professional with experience and possesses a robust interest in public markets, business dynamics, and sophisticated financial analysis. You will act as the primary quantitative auditor of our proprietary SaaS platform's business estimates and investigate discrepancies between internal forecasts and publicly reported data, impacting core product and client messaging.
Support the development of data pipelines, ensuring quality and organization in deliveries under the guidance of more experienced members. Collaborate in the maintenance and evolution of existing solutions, contributing to the continuous improvement of processes. Participate actively in agile rituals, sharing progress and doubts clearly. Demonstrate technical curiosity and a willingness to learn new tools and good data engineering practices. Support the documentation of developed solutions, ensuring traceability and alignment with team standards.