Who We Are:
Bandwidth lives for innovation! Our technology powers brands like Google, Microsoft, GoDaddy, Arlo, Netgear, Zoom, Rover and more of the most exciting leaders in technology. Our intelligent voice, messaging, 9-1-1 access, and phone number services— all backed by Bandwidth's own nationwide, all-IP voice network—allow us to power the way people communicate, connect, and do business.
At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband
What We Are Looking For:
Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do feel as you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND.
The Data Engineer will help Bandwidth establish and mature its cloud data warehouse. Much of their focus will be on ingestion of operational data from various SaaS providers ranging from Salesforce to Netsuite to Zendesk to Pendo. At the same time, they will be tasked with warehouse design to serve various warehouse tenants ranging from analysts to visualization layers. They will partner with Bandwidth's Data Services team to support a longitudinal view of Bandwidth's customers in Snowflake.
What You'll Do:
Build and maintain ETL pipelines from various SaaS applications to cloud data warehouse
Maintain cloud warehouse infrastructure to support multi-tenant consumers of network and operational data
Document ETL pipelines, infrastructure, and field level detail where needed for operational data flows
Assist in administration of system and user access to cloud data warehouse
Assist in administration of internal visualization tools
Partner with data stakeholders to maintain data flows and address end-user data needs
What You Need:
Undergraduate degree in Computer Science or quantitative discipline (Physics, Math, Biostatistics, etc) with strong experience cleansing and structuring data
1+ years of data engineering experience
Experience building cloud data warehouse infrastructure, ideally in Snowflake
Experience building ETL pipelines in open source tools using Python (i.e. Airflow, Prefect, Dagster)
A history of successfully manipulating, processing, and extracting value from large disconnected datasets.
Proficiency with SQL and Python
The Whole Person Promise:
We make a Whole Person promise to our team. You can have both meaningful work PLUS a full life at Bandwidth. We focus on accomplishing our mission as whole people. That means we take care of our people—in body, mind, and spirit.
Health: We pay 100% for benefits coverage including Medical, Dental, Vision, Prescription, Life, and Disability. Generous paid time off (PTO) policy including paid parental leave, EAP and 401K match.
Fitness: 90-minute fitness lunch with a paid gym membership for workouts. On-site cardio gym, locker room/showers, classes, and sponsored sports and leagues. Nutritionist and personal trainer on-site.
Volunteer : We have a program dedicated to providing volunteer opportunities to employees, BandwidthCares.
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