About Us:

Label Insight is a data company with an ever growing pool of data. Label Insight is working hard to bring true product transparency to the market by adding depth and breadth to our data offerings and products. This provides a unique set of interesting data challenges that cross areas such as data analytics, data mining, data science and data engineering.

About the role:

A Data Engineer will help craft the future of Label Insight’s data processing pipeline by helping evangelize modern DataOps Principles. Label Insight’s Data Engineers evangelize the DataOps movement, providing the glue between Product, Engineering and Data Science.

In this role, you will be responsible for helping build alignment between all technical teams within Label Insight. You will help implement an overall data strategy which crosses engineering, data science, data management and data governance. Also, you will help streamline the delivery of products and data to our customers.

As a member of the Data Engineering team, you will help evangelize a data driven culture at Label Insight. You will help solve organization data problems, both big and small.

Responsibilities:

• Liberate, mine and augment our enormous amount of data into functional, actionable products and services that cut across many organizational teams

• Collaborate closely in an equal partnership with business and engineering teams

• Significantly impact a thriving, innovative business

• Work in cross-functional partnerships involving business and technology stakeholders, striving to delivering measurable results

• Collaborate with Data Science, Product, and Engineering stakeholders to define and implement data powered products, and deploy and maintain them in production

• Seeking out ways to automate and accelerate development of data driven products

• Exemplify software engineering best practices and proactively identify technical debt and other issues to harden our products (DataOps)

Qualifications:

• Good understanding of the latest data stores (eg. Graph, Temporal, Key Value, Document, Columnar, RDS, Blob) with practical experience with more than one

• Experience with using the latest cloud offerings for data science, storage, query and transfer (Amazon Web Services and Google Cloud Platform)

• Experience in working with modern application and data programming languages (Java, Kotlin, Node, Javascript, Python, R, Bash, etc)

• Good experience with applying the latest data processing techniques Mapreduce, Streaming (Apache Beam, Kinesis, Spark, Kafka)

Our Values:

• Transparency: We share information freely and concisely as a team

• Collaboration: We respect diversity and work toward the solution together

• Iteration and Innovation: We speak up early, are honest about our limits, and leverage failure as an asset

• Intellectual Honesty and Humility: We encourage open debate and favor the best ideas

• Accountability: We own the successes and failures of our team

• Quality Driven: We hold our work to the highest standards and embrace problems as opportunities

Our Perks:

• Flexible paid vacation

• Flexible work hours

• Kitchen stocked with snacks, drinks, a kegerator and more!

• Casual, dog-friendly, open-layout workspace

• Company subsidized Health Insurance, and 401(k) and commuter benefits

• Competitive salary and stock options

• Catered team lunches every other week

• Regular team events and happy hours

• Maternity/Paternity Leave

Does this sound like you?  We'd love to talk to you!

 Label Insight is an Equal Opportunity Employer