Tamr Careers

Company Description

Tamr is the enterprise data mastering company trusted by large enterprises like Blackstone, the US Air Force, Toyota, and Thermo Fisher. 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) and backed by top-tier investors such as NEA and GV, Tamr is transforming how companies get value from their data.

Job Description

Tamr DataOps 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 deploy full production rollouts, implement pilot solutions, build prototypes, do direct product development, and collaborate with sales on accounts. DataOps engineers are expected to be highly efficient and resourceful when leading these projects.

Qualifications

We are looking for someone who loves data engineering, 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. This requires collaborating closely with the customer, including understanding their needs, delivering tangible results, and enabling them to use our product.

Challenges that make this job interesting:

• The problem we’re solving is hard - enterprise data is messy and there is a lot of it. It’s our job to derive value from this data in a flexible and scalable way
• Every customer is different - while there are similar use cases that we see repeatedly, every account presents new challenges and we need to be able to adapt quickly to each new situation

• You have strong data science and/or software engineering experience
• You are excited about working for a scaleup and being a key contributor
• You enjoy working with customers and have excellent interpersonal skills
• You have machine learning knowledge/experience

• BS, MS or PhD degree in Computer Science, Physics, Mathematics or similarly quantitative/technical field
• Polyglot programmer, with experience using technologies such as Python, Java, R, SQL, Airflow, dbt, MonteCarlo, Immuta, Alation, data.world, and Great Expectations
• Willingness and ability to travel to client locations on occasion
• Candidates for this position must be a U.S. Citizen or Permanent Resident

• Deep understanding of data integration and transformation patterns such as messaging, ETL, ELT, Data Pipelining, Metadata Management, Data Cataloging,
• Hands-on experience with large distributed systems from an architecture and development perspective
• Hands-on experience with traditional data warehouse technologies
• Hands-on experience with data visualization tools such as PowerBI, Tableau, Qlik, Spotfire, Cognos, Business Objects, D3
• Machine learning knowledge/experience  with toolkits such as MLlib
• Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, Java, AWS, GCP
• DevOps and/or cloud solutions deployment experience
• Advanced quantitative technical degree (MS or PhD) strongly preferred