Agile methodologies, Apache Hadoop, AWS, Business Intelligence, Cloud computing, Commercial off-the-shelf - COTS tools, DataOps, DevOps, Elasticsearch, ETL/ELT technologies, Java Programming, JavaScript, Machine learning techniques, matplotlib, MLflow, MySQL, Oracle, Python Programming, Scikit-learn, SPARK Programming, SQL, SQL Server
Tamr field engineers are highly technical data scientists and engineers who understand all aspects of the business. We know how to pitch the product to anyone from software architects to business executives. Often we’re working on the most challenging problems in the enterprise and we have to dig deep to understand the business value and deliver technical solutions. As the company’s outward-facing, technical resource, the work of the whole group is varied. We build prototypes, direct product development, work with sales on accounts, implement pilot solutions, and deploy full production rollouts. Field engineers are expected to be highly efficient and resourceful when leading these projects.
Qualifications
We are looking for someone who loves to write code, and has a genuine interest in being customer-facing. We are building and selling a human-in-the-loop machine learning platform for the enterprise to help companies automatically unify and categorize their data to drive new analytic insight. We are looking for engineers interested in creating front line code to solve real customer problems, ranging from back-end data processing and machine learning, to front end presentation and dashboarding.
Challenges that make this job interesting:
This job might be a good fit for you if:
Qualifications:
Other Preferred Qualifications/ Nice to Have:
Additional Information
This position is available remote in the United States. Local to the Washington, D.C. area is ideal but not required.
Tamr is the enterprise data mastering company trusted by large enterprises like Blackstone, the US Air Force, Toyota, and GSK. The company’s patented software platform uses machine learning supplemented with human feedback to master and prepare data across myriad silos to deliver previously unavailable business-changing insights. With a co-founding team led by Andy Palmer (founding CEO of Vertica) and Mike Stonebraker (Turing Award winner)