DataOps Engineer - Federal Team

Tamr in United States

Company Description

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) and backed by top-tier investors such as NEA and GV, Tamr is transforming how companies get value from their data.

Job Description
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.


Additional Information

This position is available remote in the United States. Local to the Washington, D.C. area is ideal but not required.

Tamr provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws.
    • 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 startup and being a key contributor
    • You enjoy working with customers and have excellent interpersonal skills
    • You have machine learning knowledge/experience
    • 3+ years of proven programming skills preferably in Python
    • 3+ years experience with traditional relational SQL Databases (MySQL, Postgres, SQL Server or Oracle SQL)
    • Having an architectural sense for connecting data sources, data visualization, structured and unstructured data
    • Experience with data/ML libraries like scikit-learn, mlflow, matplotlib, etc.
    • Experience working with version control systems like github, gitlab, etc.
    • Bachelor or Masters degree in Computer Science or equivalent work experience
    • Strong interpersonal skills and desire to work with customers
    • Experience working in an agile environment
    • Willingness and ability to travel to client locations on occasion
    • Must be a U.S. citizen. Currently holding a security clearance ideal.
    • Deep understanding of data integration and transformation patterns such as messaging, ETL
    • Hands-on experience with large distributed systems from an architecture and development perspective
    • Hands-on experience with traditional data warehouse technologies and BI or visualization tools
    • Front end software development expertise.  JS in particular
    • Experience building enterprise applications, including integration with COTS systems
    • Experience with any of the following technologies: Hadoop, Spark, ElasticSearch, Java, AWS
    • DevOps and/or cloud solutions deployment experience a plus
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