Data Engineer

Key Skills

JavaScript, Python Programming, SQL, AWS, GoLang, Tableau, Grafana, JVM, Data Analytics, Data Modelling, AWS Kinesis, Amazon Simple Storage Service (S3), Apache Flink, Telegraf, InfluxDB

Job Description

Olive is made possible by a technology platform which allows her to understand the data emanating from the work that she does and to use that data to get smarter over time. Data Engineers work with the Olive Product Management team to deliver features that allow Olive to store and process large amounts of data. They also work on developing new tools that allow our teams to gain insight into the work Olive is doing and deliver ever increasing value back to our customers. Our team gives Data Engineers the ability to help develop an internal data streaming service that delivers high impact insights to the organization. As part of our mission our team creates visualizations and models to identify anomalies. A successful Data Engineer will possess strong analytical as well as technical skills, and have the ability to communicate the logic behind technical decisions to non-technical stakeholders.

Responsibilities (to include but not limited to):

• Collaborate with Engineers, Analysts, and Product Managers to design and implement features
• Ability to meet deadlines and satisfy requirements from stakeholders
• Peer review and code review participation to provide valuable feedback during every step of the development process
• Quickly produce well-organized, optimized, and documented code
• Communicate effectively and efficiently across all divisions including with the business, technical teams, and leaders
• Take technical ownership of tasks and successfully work independently
• Demonstrate the ability to become a domain expert in projects
• Mentor and lead junior engineers on multiple tasks or projects

Requirements

• Bachelor’s in Computer Science, Computer Engineering, or relevant equivalent experience
• 5+ years of relevant programming experience
• 4+ years of SQL experience
• 1-2+ years of Streaming Data and Analytics experience
• Experience with data visualization through tools such as Tableau
• Some experience with data modeling
• Experience with the Telegraf, Grafana, InfluxDB, and Flink or other time series analysis stack
• AWS experience preferred (Kinesis, S3, IAM)
• History of designing and delivering software solutions to real world problems across a variety of technology stacks and programming languages with deep experience in several modern programming languages (e.g. JavaScript, Python, Go, JVM based languages)
• Strong communication, critical thinking, and problem solving skills
• Demonstrated understanding of fundamentals engineering concepts
• Knowledge of software and application design and architecture
• Experience writing and reviewing detailed Technical Design Documents (TDDs) is a plus