Software Engineer - AI (Legal) – CoCounsel Forward Deployed Engineering Are you excited about building AI solutions that help legal professionals work faster, smarter, and with greater confidence? Do you enjoy operating at the intersection of engineering,
Staff Platform Engineer- Materia AI Are you excited about building cloud-native platforms that power Agentic workloads? Join a dynamic and highly skilled team at Thomson Reuters, where we combine the agility and innovation of a startup with
Are you a hands-on AI engineer who wants to build the next generation of legal AI solutions from the ground up? Thomson Reuters is hiring a Senior Software Engineer - AI on our CoCounsel Forward Deployed Engineering team.
Are you passionate about putting cutting-edge AI directly into the hands of legal professionals? Thomson Reuters is hiring a Senior Software Engineer - AI (Legal) on our CoCounsel Forward Deployed Engineering team. In this role, you will
Lead Software Development Engineer Thomson Reuters is looking for a Lead Software Engineer to join a highly dynamic team developing our next generation Global Trade Management application suite. Our engineers come from a broad range of backgrounds and experience
Summary: The Senior Tax Product Specialist is an individual contributor role at the heart of the ONESOURCE Tax Provision product team. This position exists to bring deep, practitioner-level tax accounting expertise directly into the product development
We are seeking a highly skilled and experienced Senior Product Manager to join our dynamic team. The ideal candidate will have a strong background in AI, LLMs, and AI agents, with hands-on experience in delivering production-ready
About Mantis We help organizations improve how their buildings perform by bringing together energy, facility operations, and sustainability into one connected approach. At Mantis, our teams work across the full lifecycle of a facility—from planning and
Who We Are The Gearbox Entertainment Company is home to a world-class team that entertains the world with award-winning and genre-defining video games. Our games are entrenched with rich universes that are expanded upon via transmedia
Senior Manager, AI and Innovation Communications Our purpose at Thomson Reuters is to Inform the Way Forward. Together with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of
Remote data engineers are essential components of any data analytics team. They are in charge of managing, optimizing, overseeing, and monitoring data retrieval. They also manage storage and distribution across the company. Data engineers are responsible for identifying patterns in large data sets and designing algorithms to make raw data relevant to businesses. This IT position necessitates a diverse range of technical abilities. This includes a thorough understanding of SQL database design and several programming languages.
Yes, data engineers can fulfill their duties from any country in the world. One important consideration is to do with global time differences. You’ll need to be available if there’s an emergency such as a data breach or system failure. In saying that, there’s no reason to not be able to work 100% remotely.
Generally speaking, yes. Given that data engineers are responsible for all the data within a company, the company is required to provide equipment that will allow the data engineer to accomplish the job at hand.
Yes, in the data engineering industry, experience often trumps education. In order to become the best remote data engineer, it’s best to start out as an analyst. This will help you get a feel for the business. Training in both software development and data science skills such as statistics and math will also help further your career.
Data Engineers require the latest technology available. This is because the organization is reliant on the design, security, and speed at which the data engineer can deep dive into
Entry-level remote jobs are available under the mentorship of the data manager.
The answer is yes. They are able to mine and analyze data during system down-times. During these times data engineers can add machine learning feature transformations into existing systems. Integrating external or new datasets into existing data pipelines is best done after the company’s work hours. So the duties of a data engineer can definitely all be done remotely.