Field Engineer/Senior Field Engineer(m/f/d)
Field engineers apply our product, Altair Graph Studio, to solve specific customer challenges with knowledge graphs.
Altair Graph Studio is a scalable knowledge graph platform based on Altair Lakehouse, the fastest graph database engine available. We allow our customers to integrate and analyze data faster than ever before, and we need you to help us make it happen even faster!
We are seeking Field Engineers (entry-level through senior) to apply Altair Graph Studio and knowledge graphs to specific customer challenges. We're looking for smart self-starters with strong analytical and problem-solving skills who are interested in growing and deepening their skills in the modern data management and data engineering space.
Field engineering is a broad discipline that encompasses elements of data science, data engineering, software engineering, consulting, and business analytics. Individuals with technical backgrounds who enjoy immersing themselves in new technologies, enjoy working with customers, and are motivated to find excellent solutions to tough problems can excel in our environment. If you are an engineer looking for a fast-tracked entry point into the business side of technology, this is a great opportunity for you. For an idea of where the Field Engineer role can take you, have a look at our Field Architect role.
Key Responsibilities
- Help our customers solve data integration and analytics challenges with knowledge graphs built on our Altair Graph Studio platform
- Engage in multiple aspects of the customer relationship, including problem-solving, technical implementation, channeling feedback into product development, requirements development, problem solving, and technical implementation.
- Work across multiple industries, including life sciences, financial services, automotive manufacturing, and government
- Become proficient with knowledge graph technologies—the emerging data model for AI.
- Develop extensions to the Altair Graph Studio product for specific customer scenarios, often including Java services for automation and deployment, modern HTML/JavaScript user-interface components, and integrations with machine learning and NLP.
- Communicate with customers and project leads on the status and progress of tasking to ensure smooth and timely completion.
- Develop hands-on expertise with a broad spectrum of modern data management and analytics technologies and cloud platforms.
- Apply data science algorithms to deliver impactful insights to customers.
- The team is primarily remote from customers but some travel is possible
Education & Experience
Strong candidates will have many but not necessarily all of the following
- A strong interest in or experience with consulting or professional services involving data integration and analytics software platforms or tools.
- Computer Science, Mathematics, or Engineering degree
- Software development experience (Java, JavaScript, Python, C#, Scala)
- Strong communication, presentation, and writing skills
- Ability to analyze complex business problems and apply technical solutions
- Full-cycle software implementation in customer environments
- Implementation of data management or analytics projects at large scale
- Administration and deployment of cloud platforms (AWS, GCP and Azure)
- Semantic Web Technologies (OWL, RDF, SPARQL)
- Graph Data Modeling or Graph Databases
- Data Science and analytical tools such as R Studio and SAS