Staff Data Engineer

Company Description

Inseego Corp. (Nasdaq: INSG) is a leader in the 5G fixed wireless access and MiFi hotspot market. Our products, including routers, antennas, and hotspots, deliver high-speed, reliable internet with low latency and strong security, ensuring robust connectivity both indoors and outdoors. Designed and developed in the USA, Inseego provides top-quality wireless broadband for service providers, enterprises, and businesses nationwide. Our cloud-based remote device management platform optimizes network traffic, catering to diverse connectivity needs across multiple industries. For more details, visit

Role Description

Staff Engineer- Data is responsible for architecture, design and implementation of our data collection, modeling, processing and storage in our cloud platform. Day-to-day tasks include developing ETL processes, ensuring data quality and integrity, collaborating with cross-functional teams to meet data needs, and optimizing data systems for performance. The role also involves implementing data security measures and troubleshooting data-related issues as they arise.

Responsibilities:

•
Lead a team of globally distributed engineers to design and develop our data solutions.

• Hands on, worked with millions of transactional data, storage, optimization, design, stats

• Work with products to understand business requirements, design, and architect solution.

• Work with onsite and remote engineers to design and implement enterprise scale data collection, modeling, processing, and storage.

• Work with a cross functional team of HW, FW, SW, AI/ML engineers to achieve the business vision

• Participate in scrum rituals and provide effort estimates for features

• Publish standard, best practices, perform design and code reviews.

• Good understanding of cloud native best practices, CI/CD DevOps practices, and security and privacy guidelines

• Diagnose, characterize, and address performance and scale issues.

• Monitor and troubleshoot production issues and provide solutions to resolve them

• Identify, prototype and champion new technology solutions

Experience/Requirements:

• Proficiency in leading application development as E2E data engineer for highly available enterprise grade software and platform applications

• 3+ years of experience in Platform Engineering across various cloud computing models

• Expertise in one relational db (SQL Server, Postgres, MySQL) and in one nosql store (Cassandra, MongoDB, InfluxDB, Elastic Search)

• Experience with data processing systems, both batch and stream (Hadoop/MapReduce, Flink, Spark)

• Expertise with integration of complex and large data from multiple data sources, device and sensor data, and telemetry

• Experience in applying Data Governance, Data Privacy and Data Security regulations

• Experience with Git, Jira, Confluence and similar issues tracking and collaboration tools

• Must understand Kubernetes, Container Orchestrations, Docker, and Cloud Native applications.

• Experience in using public cloud platform services, such as Azure and AWS

• Must have experience in cloud native application patterns and tools, microservice architectures, application migrations to any cloud platform

• Excellent understanding of Infrastructure, Virtualization, Containers, Network, Storage, Azure Data Lake, Power BI monitoring tools, Logging analytic tools (Splunk, etc.)

• Experience with Application Performance Management tools (Prometheus, Grafana)

• Deep understanding of Agile principles and processes

• Thrive in a fast-paced environment with minimal supervision

• Experience in IoT, machine learning, computer vision, video solutions

• Problem solver who can provide creative and cost-effective solutions.