Remote Data Jobs • Linux

Design, develop, and maintain systems for the acquisition, storage, and retrieval of historical market data from multiple financial exchanges, brokers, and market data vendors. Build and optimize data storage solutions, ensuring they are scalable, high-performance, and capable of managing large volumes of time-series data; implement robust integrations with various market data providers, exchanges, and proprietary data sources.

The individual in this role will perform database analysis, design and administration functions to deliver on strategic projects specific to organizational goals. The ideal candidate would have in-depth experience with Oracle / MongoDB / MySQL / Couchbase / PostgreSQL technologies in an enterprise environment. Qualified candidates must be self-motivated and able to define, plan and implement long term goals and tasks.

This role is responsible for managing critical enterprise applications and databases, ensuring performance, availability, and reliability across platforms such as Oracle Fusion Cloud Applications, E-Business Suite, WMS, EPM, and OTM. The ideal candidate will bring deep technical expertise, proactive problem-solving abilities, and a collaborative mindset to support cross-functional initiatives in a fast-paced, mission-critical environment. Administer, monitor, and maintain Oracle Fusion Cloud Applications including Fusion ERP, WMS, EPM, and OTM.

Seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts. The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. This includes working collaboratively with multiple trading teams, conducting alpha research, identifying new trading opportunities, and monitoring models in production.

We are seeking a talented and self-motivated Quantitative Researcher to join a growing data science efforts; you will work in a collaborative team with the potential to deliver significant contributions through data-driven insights and by providing high-quality research tools enabling reproducible and well-tested research to take place across the firm.

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.

Seeking a Machine Learning & Data Infrastructure Architect to lead the technical vision and architecture for the systems that power the entire machine learning lifecycle—from data ingestion and storage to model training, evaluation, and deployment. This is a mission-critical leadership role within the ML & Data Platform team, shaping the infrastructure that supports terabytes of daily sensor data and petabyte-scale datasets essential for autonomous vehicle development.

Build production machine learning models that identify fraud. Write production and offline analytical code in Python. Work with distributed data pipelines, communicating complex ideas effectively to a variety of audiences. Collaborate with engineering teams to strengthen our machine-learning platform, using your analytical toolbox to surface insights into real-time fraud attacks.