This role plays a key role in creating the best developer experience for data and application engineers at Basis. They implement and maintain deployment and ETL pipelines for data products. They integrate with a multitude of products and APIs to ensure superior development, testing and release experience for developers.
Shape how data drives the future of immersive safety training as a Data Engineer at Pixaera. You will be at the forefront of designing and maintaining robust, high-performance data pipelines and systems that fuel analytics, platform intelligence, and content personalization across Pixaera’s learning ecosystem.
Join our close-knit, early-stage distributed team! As one of the engineers, you'll play a key role in scaling our backend systems and take direct ownership of high-impact product and engineering goals. You will build new features, products, integrations, and back-end services and design scalable systems to support millions of users.
Support the Data Science team by delivering clean, reliable, and automated data processes that support financial decision-making. Transform financial data into financial breakdowns, clean and upload data into Snowflake, and run and improve Python scripts. Write, edit, and optimize SQL queries to support reporting and analysis. Automate manual workflows and support the migration of workflows.
As a Staff Data Engineer, you’ll tackle complex, cross-functional data challenges, partnering closely with stakeholders across product, engineering, and business teams. You’ll 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 NerdWallet’s strategic goals. You’ll also design, develop, and maintain data systems and pipelines that serve as the foundation for analytics and product innovation.
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.