297 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.
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.
This position supports PN Operations by gathering, cleaning, and analyzing data to produce accurate reports and dashboards to inform decisions. Working under guidance, this role maintains data quality, documents processes, responds to ad-hoc requests, and develops proficiency in data sets, spreadsheets, and BI tools.
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.
Create natural, realistic Q&A pairs that mirror how users interact with SQL query results. Ensure each Q&A pair is linguistically clear, contextually accurate, and logically aligned with SQL outputs. Work across diverse domains including Finance, Cloud Operations, Account Management, and Health. Interpret SQL queries and corresponding result tables. Craft questions that reflect real user scenarios and information needs.
As Senior Database Administrator & Data Architect, you’ll be the technical owner for Spreetail’s database infrastructure, leading operations, performance optimization, modernization strategy, and cross-functional enablement of high-value data use cases. You will manage and optimize SQL Server, Postgres, and MongoDB databases across AWS and collaborate across teams to align database design with analytics goals.
We are looking for an experienced Netezza Database Administrator with 5+ years of hands-on expertise in managing and supporting Netezza Data Warehouse environments. The candidate should be proficient in administration, performance tuning, and troubleshooting, with the ability to work closely with business and technical teams to ensure optimal data warehouse performance.
We’re looking for an AI/ML Evaluation Engineer to drive the accuracy, reliability, and performance of next-generation AI systems. You’ll build evaluation pipelines, metrics, datasets, and automation that ensure model outputs are consistent, safe, and aligned with real-world expectations. This role is fully technical and highly collaborative, working closely with AI engineers, QA, data scientists, and product leaders.