Join our Advertising Product & Technology organization as a Senior Data Engineer. You will work directly on an array of product features, advertiser publishing tools, and insights and reporting functionalities. Together with cross-functional teams you will ideate, develop, and own complex technical solutions on our fast-paced podcast and ad services technology platforms.
We’re looking for a Senior Data Engineer to help build and scale a high-impact data platform that powers decision-making and innovation across engineering, legal, sales, marketing, and governance. You’ll play a critical role in designing real-time and batch data pipelines, ensuring data quality, privacy compliance, and accessibility through user-friendly portals and dashboards.
Senior Software Engineers spend most of their time hands-on in the creation, feature development, and subsequent maintenance of NeueHealth properties. The more senior their level, the more that individual will assist in the continuous improvement of the team's productivity and overall design of our systems. Additionally, senior talent plays a key role in building and maintaining a culture which focuses on making sure every engineer progresses in their career.
As a Data Engineer, you’ll work across the entire stack and help shape the future architecture of our complex data systems. You’ll collaborate closely with Web and Data Science teams to deliver user-centric solutions—while using modern tools, including Gen AI assistants, to accelerate development, improve quality, and amplify team velocity. The role involves writing code, solving hard problems, and staying ahead of emerging tech.
Design, build, and maintain scalable data pipelines using Databricks and Apache Spark. Integrate data from various sources into data lakes or data warehouses. Implement and manage Delta Lake architecture for reliable, versioned data storage. Ensure data quality, performance, and reliability through testing and monitoring. Collaborate with data analysts, scientists, and stakeholders to meet data needs.
As a Senior Data Engineer, you will be instrumental in shaping the future of our data platform. You will work with a global, remote-first team to build, scale, and optimize our data infrastructure using cutting-edge tools like Databricks, Spark, Terraform, and cloud platforms (AWS/Azure). You will collaborate closely with cross-functional teams to ensure the platform is secure, efficient, and continuously evolving.
As a Sr Data Engineer at SADA, you will ensure our customers’ support issues are handled effectively. You will work with highly skilled support engineers focused on providing Google Cloud Platform Data Engineering solutions, including BigQuery, Cloud SQL, Google Cloud Monitoring, and related Google services. The Data Engineer is responsible for providing technical assistance and guidance to team members and customers.
As a Data Engineer II, working on our data systems and services, you will work other data engineers to deliver projects and systems critical to Fandango's business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for fellow movie fans.
The Data Platform team is responsible for maintaining and evolving the Data Platform used by Neon. Responsibilities include designing, building, and maintaining scalable data pipelines, optimizing data architectures, and collaborating with various teams to translate needs into improvements for the data platform. Additionally, they ensure the platform's scalability, stability, and observability, participate in discussions about platform features and data architecture, and address incidents to restore normal operation.
As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines that power AI and analytics solutions for our clients. You will work on the architecture and deployment of data infrastructure, ensuring efficiency, reliability, and security across large-scale datasets, as well as being hands in the development process. You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office in Montevideo, Uruguay!