In this principal-level individual contributor role, you'll be the go-to authority on claims trends and cost analysis, working directly with our CEO and leadership team to inform critical business decisions while building scalable analytics infrastructure that empowers the entire organization. You'll balance deep analytical work with high-level stakeholder collaboration, always thinking about how to automate today's manual work and scale solutions across the organization.
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.
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.
Drive the technical evolution of data systems that power analytics across the entire company. You'll be responsible for architecting and implementing robust data systems and processes that support Docker's analytic needs while establishing technical standards and best practices for the data organization. The candidate will work closely with cross-functional teams to understand requirements and deliver data solutions that drive business outcomes.
A highly motivated and experienced Lead Data Engineer is needed to join our growing team. This is a unique opportunity for a "founding engineer" type who thrives in a fast-paced environment, can lead technical initiatives, and is eager to build our data platform from the ground up. You will be instrumental in shaping our data strategy, driving technical execution, and fostering a data-driven culture.
This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. You’ll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable’s self-serve business. You’ll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making.
Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data. Set and ensure data engineering standards as part of the department goals. Collaborate with other teams to ensure data engineering needs/requests are addressed.
Drive in-quarter and long-term business growth by empowering data-driven decision-making and uncovering strategic opportunities to grow company-wide business outcomes. You'll leverage your expertise in query optimization, advanced data modelling, and cross-functional collaboration to deliver impactful insights that directly influence business strategy.
Our data scientists are embedded team members, and work alongside PM’s, software engineers and designers in our mission aligned team (MAT) model. This position offers a dynamic and impactful opportunity to assume ownership of your work as you conduct in-depth analyses and productionize your work.