Airtime’s Mission:
Our mission is to empower people to create thriving online communities around shared interests, experiences, and passions. A goal like that doesn’t happen without an amazing team. With over 100 wonderful people in three offices across the country, we’re working hard to create the most welcoming online live social space out there, not only in our product but also in our organization.
In this role:
The Data Engineer will deliver data solutions, pertaining to strategic operations, that provide Airtime the ability to utilize data in unique ways not provided by Airtime’s current data architecture. This will allow the Analytics team to optimize: Data access, data creation, data measurement and data analysis of the Airtime application. In order to deliver this goal, the Data Engineer will partner with the Data Science Team to deliver data solutions that support the overall strategic goals of the company and ensure optimal data delivery throughout ongoing projects.
What you’ll do:
- Create and maintain an optimal data pipeline architecture within the Airtime data infrastructure
- Identify, design, and implement internal process improvements by automating manual processes; optimizing data storage, delivery, and visualization; etc.
- Employ an array of technological languages and tools to connect data systems together
- Build key working relationships with The Data Science Team and The Airtime IT Team to ensure alignment and support of all projects and systems
- Test, debug, and audit custom scripts to ensure data accuracy
- Ensure that all systems meet the business/company requirements as well as industry best practices
- Create custom software components and analytic tools that utilize the data pipeline to provide actionable insights into key performance metrics to assist with growing and optimization of the Airtime application
What you’ll bring to the table:
- At least 3 years of experience working in data and analytics
- Experience with Amazon REDSHIFT, MongoDB, Amazon Aurora, Looker etc.
- Proficiency using object-oriented scripting languages: Python, PHP, Java, etc.
- Familiarity with front-end technologies and data visualization: HTML5, JavaScript, d3.js, etc.
- Experience designing and querying relational SQL databases: Postgres & MySQL
- Proficient at web server administration (Apache, Node) with expertise with Ubuntu Linux and command line interfaces.
- Experience with REST APIs
- Proficient in code versioning tools: Git, etc.
- In-depth understanding of the software development lifecycle