Data Engineer (Advanced Analytics)
Who We Are:
Bandwidth (NASDAQ: BAND) is a global communications software company that helps enterprises connect people around the world with cloud-ready voice, messaging and emergency services. Backed by a network reaching 60+ countries covering 90 percent of global GDP, companies like Cisco, Google, Microsoft, RingCentral, Uber and Zoom use Bandwidth's APIs to easily embed communications into software and applications. Bandwidth has more than 20 years in the technology space and was the first Communications Platform-as-a-Service (CPaaS) provider to offer a robust selection of APIs built around our own global network. Our award-winning support teams help businesses around the world solve complex communications challenges every day.
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:
We are looking for a Data Engineer who has passion for data and data technologies to join our Advanced Analytics Data team. As a member of this team, you will play a key role in building streaming analytics and machine learning solutions and help take our data offerings to the next level.
What You'll Do:
- Be a part of a fast-moving team, working with streaming and machine learning technologies
- Work with the team members to build the data analytics platform for machine learning and streaming analytics
- Work with the team members and functional leads to build streaming data pipelines for data science and machine learning projects
- Collaborate with software developers, data platform engineers and data analysts to prototype, develop and deploy of machine learning models
- Build end-to-end life cycle for ML models and model management
- Troubleshoot & resolve performance issues to meet SLAs
- Provide operational support to satisfy internal reporting/data requests
- Safeguarding of company confidential data through appropriate IT security
What You Need:
- B.S. in Computer Science/Engineering
- Strong CS fundamentals and problem-solving skills
- Experience in working with Python or other Machine Learning languages & libraries
- Experience in working with Cloud Data solutions like Snowflake
- Experience working with streaming technologies like ApacheFlink
- Strong expertise in writing SQL code
- MLOps/DevOps experience
- Data warehousing & data engineering experience
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. Corporate chaplains, EAP and 401K match.
- Fitness: 90-minute fitness lunch with a paid gym membership with shuttle service available 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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