As a Staff Data Engineer, youβll tackle complex, cross-functional data challenges, partnering closely with stakeholders across product, engineering, and business teams. Youβll combine strong technical expertise with clear communication and thoughtful collaboration to ensure our data systems are not only technically sound, but also deeply aligned with NerdWalletβs strategic goals. Youβll also design, develop, and maintain data systems and pipelines that serve as the foundation for analytics and product innovation.
Job listings
Docker is seeking an exceptional Principal Software Engineer to lead the technical vision and architecture of our Data organization within our infrastructure group. This role will address critical data strategy challenges, building and launching scalable software systems and processes to unlock data at Docker. You will drive technical leadership across data infrastructure, analytics platforms, and revenue-enabling data products while mentoring senior engineers and collaborating with stakeholders across the company.
The Data Engineer will play a critical role in designing, constructing, installing, testing, and maintaining highly scalable data management systems. This role requires hands-on expertise using Snowflake, Azure Cloud services, and Sigma to design, develop, and maintain scalable data pipelines and analytics solutions.The ideal candidate will have strong experience in cloud-based data architectures and modern ETL/ELT practices.
Design, build, and maintain scalable data and AI and data pipelines using Snowflake, Temporal and Python. Design fault-tolerant, distributed systems capable of processing terabytes of data. Build ad connectors from scratch to unify creative and performance data.
DAS42 is looking for a strategic and technically proficient Data Engineer Consultant to help clients unlock the full value of their data. In this role, you will design and implement scalable data solutions, from data models and ETL pipelines to cloud data warehouses and BI tools. You will advise clients across industries on how to optimize their data environments, translate business objectives into technical strategies, and support long-term data infrastructure.
As a Data Analyst II, you will conduct thorough evaluations and advanced analyses of potential fraud cases and data inquiries by leveraging claims information and multiple data sources. You will provide critical support in developing complex, high-value, or sensitive cases that warrant referral to law enforcement or recovery of overpayments.
Lead the evolution of our decentralized data infrastructure, powering the data backbone of our Blockchain and Gaming ecosystem. You will architect, develop, and optimize robust data pipelines and platforms that enable reliable, scalable, and insightful data access for diverse teams across the company.
Join our growing team as a Senior Data Engineer and help shape the future of our modern data platform, where you will be responsible for designing, building, and maintaining scalable data solutions using Snowflake, Airflow, and AWS. Partner with business and technical stakeholders to deliver high-quality data products while ensuring reliability, quality, and governance. Independence and ownership are key in this role where you'll have the freedom to design and execute solutions end-to-end.
This role involves building a cohesive data organization that fosters collaboration and drives innovation across the entire company. The Senior Director of Data Engineering will drive the transformation of multiple teams and forge partnerships between the data organization and product engineering, while also enhancing the companyβs competitive edge.
We're looking for a Staff Data Analyst to join our Analytics team and lead the way in using advanced analytics, SQL expertise, and AI-driven tools to drive impact across the business. Youβll generate insights that power customer acquisition, retention, sales & marketing, and product, while shaping strategic decisions at the highest level. This is a highly visible role where youβll partner with senior leadership, harness cutting-edge analytics approaches, and influence innovation across the organization.