Verizon Communications, Inc. And All Subsidiaries Hiring for Data Engineer – Internet Of Things at Colorado Springs, Colorado Full Time

When you join VerizonVerizon is one of the world’s leading providers of technology andcommunications services, transforming the way we connect across the globe.We’re a diverse network of people driven by our shared ambition to shape abetter future. Here, we have the ability to learn and grow at the speed oftechnology, and the space to create within every role. Together, we aremoving the world forward – and you can too. Dream it. Build it. Do it here.What you’ll be doing…You will be a senior member of the Verizon IoT solutions and platformdevelopment team, focusing on design-driven development and front-enddelivery. As a data solution design engineer, you will be responsible forthe design and implementation of a highly scalable IOT developer platform andapplications whose core tenants include an independent UI layer integrated viaAPI with telemetry infrastructure using messaging queues(MQTT/Rabbit/Other lightweight M2M), data ingestion and streamingplatforms like Kafka/Kinesis and horizontally scalable micro services thatuse a variety of data persistence (NoSql, Relational, In-memory).All team members play a vital role in delivering high value and high qualitysolutions that meet business objectives, and delivering end-to-endperformance and scale of complex video based analytic applications that cansupport millions of IoT devices in the field. The position is part of anagile, cross-functional team that delivers value to the business with highfrequency. A continuous delivery / continuous integration (CICD)approach is followed to ensure tight integration and early detection of issuesfor quick delivery cycle-time.Design and develop well-architected and scalable end to end applications anddevelopment platform touchpoints for video analytics based applications andIoT telemetry for various verticals like Smart Cities, Industrial IoT,Utilities, and 5G/MEC.Understand the target domain personas and the user experience requirements.Design user experiences that are highly scalable and targeted for clouddeployment/Software-as-a-Service (SaaS) model. Ensure applications meetthe objectives of the business.Contribute to analysis and design of low latency Microservices APIs that willbe consumed by a Cloud IOT platform as well as external developers/thirdparty vendors.Design, review, and optimize data ingestion and transformation processesin streaming, relational databases, and/or NoSQL in cloudenvironments, to deliver the value of the data to customers.Conduct iterative application tuning and performance baselining.Participate in Agile development, daily scrum, and sprints.Develop high level and detail level designs with cross functional input. Workclosely with product managers and other external stakeholders to ensure thatthe final solution will meet business objectives.Develop features with quality and integrated with continuous integration anddelivery infrastructure.Implement and champion best practices in solution design and delivery tooptimize business investments.Where you’ll be working:In this hybrid role, you’ll have a defined work location that includeswork from home and assigned office days set by your manager.What we’re looking for…You’ll need to have:Bachelor’s degree or four or more years of work experience.Six or more years of relevant work experience.Experience in IOT and/or Computer Vision domain.Experience designing and developing complex-domain applications and highlyscalable ingestion and data processing applications.Willingness to travel up to 25%.Even better if you have:A Master’s degree in computer science or related field.Strong foundation in Scala/CSS/Java /JS/Go/HTML and otherprogramming languages. Familiar with industry best practices and designpatternExperience with designing and using horizontally scalable UI layer componentsystems in Typescript/React16+/JS/ESlint/API/micro services architecture.Experience of Kafka/Kinesis/Spark streaming platform to build API’sutilizing real-time data pipelines.Experience on da