Data Science Engineer 1138 views

The kind of person we’re looking for:

A talented, experienced software engineer with a handle on good software design. Someone with a knack for solving difficult problems in complex multi-component systems, and an interest in learning new things. Must be happy in a highly team-oriented environment where collaboration between developers and across teams is common; where giving and receiving of feedback, debate, and constructive criticism are actively encouraged.

Our company has an open, relaxed, and friendly environment where jokes and silliness are common, yet we’re serious about the work we do. We fully expect the same from you. Our organizational structure is pretty flat so you’ll be given a fair amount of latitude with, and responsibility for, your own time.

The kind of stuff you’ll be doing:

• Working with big data technologies: Hadoop, Spark, Hive, streaming, etc. as well as many AWS services
• Designing and developing features that support the Paytronix product suite. Our group’s software and data feed a number of production applications and pipelines, such as dashboards, machine learning models, and email campaigns
• Employing design and engineering principles at the system level to keep components organized, useful, and scalable. We are always keen to adopt the best new technologies
• Operations, maintenance, and optimization of live clusters and ETL jobs, figuring things out at all levels of the stack
• Working with teammates and other stakeholders to align day-to-day activities with strategy and business value

The kind of experience you’ll need:

• Experience with high-volume, high-performance, enterprise software systems
• Knowledge of the Hadoop ecosystem, ideally experience in a production environment
• 3+ years developing Java and/or Scala applications, thinking in terms of resource needs
• Solid knowledge of SQL, including joins, grouping, and beyond
• Experience with shell scripting, and ideally AWS and VMs
• Ability to clearly articulate questions and create design specifications
• Must be able, periodically, to work outside normal business hours (i.e., early mornings, evenings and weekends) to support critical systems
• Working knowledge of git workflows and modern software development practices (e.g., build and test, continuous integration, Agile)

The extra stuff that would be nice:

• Knowledge of Spark, Python, and/or a functional language (Scala, Clojure, Haskell, etc.)
• Expertise in tradeoffs of different data governance approaches
• Knowledge of other big data frameworks: Kafka, Flink
• Experience with relational databases
• Reasonable skills with spreadsheets and diagrams
• Understanding of web technologies: HTTP, SSL, REST, JSON, XML
• Exposure to machine learning tools like scikit-learn or TensorFlow