About US Mobile:
US Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for your phone, smart devices, car, home broadband, and more. That's the future that US Mobile is building: a software platform built for the 21st century and the age of 5G and IoT, with world-class engineering, best-in-class user experience, and features that will define the next generation of connectivity. We are one of Forbes' top 500 best startup employers in the US for 2021.
We're able to offer superior service because of our people. The team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We were recently ranked 94th on Inc 5000's fastest-growing private companies in America. We are excited to find more exceptional talent to join our journey.
Job Description:
In this role, you will own the development and delivery of our data pipelines and solutions. You will participate in various stages of the product development lifecycle, including requirements elaboration, technical design, and development, as well as quality assurance and testing. You are expected to equally distribute your time between hands-on development and deployment activities, technical enablement of your team, as well as project planning and administrative activities.
In Particular, You Will:
Design, develop, and document data solutions and products in collaboration with various stakeholders
Enable your team through technical mentorship, development oversight and assistance, and optimal task delegation
Monitor, evaluate, and continuously improve existing data products and solutions
Collaborate with and support other Enterprise Data & Analytics team members with requests pertaining to Data Engineering and Data Development
What will you need to succeed?

• Undergraduate degree in a technical field such as Computer Science, Software Engineering, etc.
• Experience with ETL, ELT, and reverse ETL
• Proficiency and in-depth understanding of best practices pertaining to the design and development of Data & Analytics products and solutions.
• Extensive hands-on development experience in Data Engineering.
• Excellent verbal and written communication skills; able to capture and convey information to a variety of audiences through documentation or presentations.
• Experience with the Google cloud platform environment and data-related services (e.g., Dataflow, Dataproc, BigQuery, Cloud Functions, PubSub).

Nice to Have:

• Graduate degree in a technical field with specialization in Analytics, Data Science, or a related subject.
• Experience with MongoDB and Kubernetes

Benefits:

• Gym reimbursement
• Your choice of tech & noise-canceling headphones
• Free cellular service on the best network in the US
• Free lunch in NYC office & fully stocked kitchen
• Metrocard reimbursement
• WFH Fridays

Think you'd be a great fit? Apply to learn more!