We are looking for a talented Senior Software Engineer who is passionate about building products that customers love to use. You’ll work with truly remarkable colleagues on complex problems at enterprise scale, quality, and reliability. You’ll build a state-of-the-art time series data platform, RevDB, that powers the best-in-class enterprise product suite that’s loved by our customers.
Join the Data Engineering team to design, build, and scale AI-driven features at Filigran. The mission involves transforming real-world security problems into intelligent product capabilities. Responsibilities include designing ML models, maintaining AI/ML pipelines, and collaborating with engineers to integrate into open-source platforms.
We're seeking a Bioinformatician with experience in training and applying deep learning models, especially in genomics, transcriptomics, spatial transcriptomics, and related fields. As a member of the Large Quantitative Model (LQM) team, you'll develop new computational tools to reshape drug discovery.
As a Senior Data Engineer II, you will play a pivotal role in designing, building, and maintaining our cutting-edge data LakeHouse platform. You will leverage open table formats like Apache Iceberg to create scalable, reliable data solutions that enable optimized query performance across a broad spectrum of analytical workloads and emerging data applications.
Lead the design and evolution of Reddit’s Data Pipeline to support scale and growth. Drive high-impact projects aligned with Reddit’s engineering and business goals. Build a high-performing team, mentor engineers, and establish best practices for data production and governance. Ensure pipeline reliability and collaborate with teams like Ads and ML.
Contribute to the success of our ML Underwriting team leveraging cutting-edge machine learning to assess creditworthiness throughout the life cycle of loan applications. Develop high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape.
The Data Warehouse Platform team is looking to hire a Staff software Engineer who is excited to solve large scale data platform and efficiency challenges. As a staff engineer, you will work within and across teams to create and improve scalable, fault tolerant, self-serve systems. You will also create and execute a strategy to ensure a high level of end-to-end data quality and help shape the data culture across all of Reddit!
Colleague will support development team that implements various use cases around the data analytics platform Elasticsearch. Data analytics use case implementation, automation, maintaining our own services. T-SP is responsible for the technical CORE service portfolio of Deutsche Telekom. We invest in a better customer experience, sufficient capacity, stable performance and higher efficiency.
You’ll be teaming with some of the most well-known database experts in the industry. Your main responsibility will be helping our customers’ DBA teams when they need expert assistance by gathering relevant data and investigating issues to provide a detailed analysis of your findings. When you’re not fixing things, you’ll be authoring new blog posts, answering questions on our forum, creating new articles in our customer-facing knowledge base, and hosting webinars amongst other things.
Responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services, you will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. Focus will be on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance.