Data is the Battleground where winning businesses transform into data-driven enterprises. Our flagship product Anzo differentiates in the highly competitive and hyper-growth data platform market. Anzo allows our customers to integrate and discover data through an enterprise data fabric. Anzo’s secret sauce is a nexus of semantic technology, graph databases and cloud computing that delivers at speed and scale never before possible. We need you to help us make it happen even faster!

We are seeking Field Engineers (entry-level through senior) to apply Anzo 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 knowledge 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. 

Key Responsibilities

• Configure and customize Anzo to rapidly deliver value in diverse and exciting industries such as Manufacturing, Pharma, Financial Services and Defense.
• Understand difficult technical and business challenges in domains such as Drug Discovery and Research, IoT, Marketing/Sales, and Data Management.
• Become an expert in all aspects of Anzo software.
• Become proficient with graph and semantic technologies - the emerging data standards for AI.
• Develop extensions to the Anzo 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 status and progress of user stories on projects to ensure smooth and timely completion of project tasks
• Develop hands on expertise with a broad spectrum modern data management and analytics technologies in our customer environments
• Apply data science algorithms to deliver impactful insights to customers
• Some travel required

Education & Experience 

Strong candidates will have many but not necessarily all of the following:

• Computer Science, Mathematics, or Engineering degree
• Software development experience (Java, JavaScript, Python, C#, Scala)
• Consulting, Professional services or customer interface experience
• Strong communication, presentations, and writing skills
• Ability to analyze complex business problems and apply technical solutions
• Software implementation in both Linux and Windows OS
• Full-cycle software implementation in customer environments
• Implementation of data management or analytics projects involving enterprise software products
• Administration and deployment of Hadoop and cloud platforms (AWS, GCP and Azure)
• Operation and maintenance of full-stack applications and databases
• Semantic Web Technologies (OWL, RDF, SPARQL)
• Graph Data Modeling or Graph Databases
• Data Science and Analytic tools such as R Studio and SAS

Our Culture

We cherish our fast-paced, startup environment that rewards pro-activeness and idea-sharing, and values flexibility and balance between work and home life. Our headquarters is located in a vibrant WeWork space in beautiful downtown Boston next to the Boston Common and is surrounded by endless lunch options and several different subway entrances.

If you are a motivated, passionate individual who is interested in making a tangible impact on our team and being part of our ascent to the next level, Cambridge Semantics is the place for you! We value the strength that diversity brings to the workplace, and encourage you to apply if you feel as though you are a great fit!