Overview

This is a remote opportunity (may also be office based Boise/Los Gatos if preferred)

Cradlepoint was born in Boise and built for wireless. We are a team of authentic, hard-working, and innovative people driven by a shared vision to Connect Beyond the limits of wired networks. We help customers — big and small, across industries and around the world — utilize LTE and 5G cellular technology to connect people, places, and things, anywhere. We’re at the forefront of the Wireless WAN and 5G — the next big waves in networking — and we remain as hungry and humble as the day we started. If you’re hungry to be part of something big, come join us.

Responsibilities

How Will You Contribute to the Company?

Cradlepoint's R&D Data team is seeking a highly motivated and self-driven Sr. Data Engineer with experience in building data pipelines used to enable near-real-time analytics systems and AI/ML model building. Qualified candidates possess not only an understanding of how to build high-performing data pipelines but have a deep understanding of how the underlying large-scale data systems are designed and implemented. Successful candidates are able to build complex data pipelines for Cradlepoint backend systems with little to no guidance. You will work with a group of extremely high-performing engineers who design, implement, and support end-to-end SaaS solutions. You are adaptable and a flexible problem-solver with an algorithmic approach, technical expertise, engineering & analytics skills, and product sense to successfully pivot/context-switch amongst many projects with a variety of scale and complexity. With your breadth of knowledge, you are often sought after for guidance and mentorship as well. 

What Will You Do?

• Review and interpret business and technical requirements and understand use case objectives
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements 
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources 
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Determine structured and unstructured data requirements by blending the needs of the business with the feasibility of current and emerging data technologies and architecture standards

• Provide best practice direction and hands-on implementation of optimized data access solutions
• Implement tooling for Secure Storage, Disaster Recovery and Backup strategies
• Ensure Data Governance best practices with developers. Help investigate and resolve data anomalies including data quality issues and ambiguous data definitions. Recommend data integrity checks and controls to ensure data quality
• Propose data lineage strategy for regulatory and governance purposes

• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Work closely with the data science/business intelligence teams to develop data models and pipelines for research and reporting
• Support security and compliance audits

Qualifications

• MS/BS in Computer Science or Engineering or equivalent, with 4 years of experience as a Data Engineer or in a similar role. 

• Deep understanding of traditional and modern data ingestion, data storage, data processing and data access technologies. 
• Experience with various modern database systems and a grasp of their strengths/weaknesses, e.g., graph databases, Mongo, Cassandra, Redis, Hadoop, Spark, etc. 
• Experience building and optimizing data pipelines, architectures, and data sets. 
• Experience working in AWS and understanding tools/techniques for data ingestion and analytics. 
• Experience with automation tooling (auditing, backup/restore, discovery, schema deployment) 

• Expertise in data security best practices, especially in a cloud or hybrid setting, including data access controls and tools, auditing, encryption/securing data at rest and in transit, privacy/anonymization constraints, etc. 
• Experience with modern programming languages like Java, Python, etc., as well as scripting and configuration management. 
• Familiarity with Kubernetes, Docker, Terraform 

Bonus Points: 

• Experience with data visualization tools such as Thoughtspot, Tableau, or similar 
• Experience with Snowflake 
• Experience with building statistical models and developing machine learning algorithms 
• Data engineering certification (e.g., Google Cloud Platform Certified Professional Data Engineer/ AWS Certified Data Analytics) 

Note: Did you know that women and other marginalized groups often hold back on applying to jobs if they don’t meet 100% of all listed requirements? We don’t want you to hold back! If you don’t check every single box above but still feel like you could successfully do the work, we encourage you to apply! We’d love to connect and see how you could add to our team.

Why Cradlepoint?

At Cradlepoint, we’re one team - all in on inclusion. Celebrating the uniqueness of our individual team members across the globe helps us build diverse teams where we all can thrive. Our connected, community-focused culture enables each one of us to perform at our best and fully be ourselves.

Our Cradlepoint values drive everything we do:

• Stay humble and hungry: Be a curious learner, resilient, and competitive.
• Don’t point a finger; lend a hand: We are one team! Communicate, provide support, and lift others.
• Make a difference: Prioritize, innovate, differentiate, and think big for customer success. Make a difference in work and in our communities.
• Keep it simple: Eliminate complexity. Reduce time to value.
• Enjoy the ride: Celebrate – appreciate – grow.
• Trust, Respect, and transparency: Be ethical, data-driven, respectful, and straight shooters who share openly.

We are creating the future of global connectivity & community. Come join us. You belong here.

Benefits & Perks:

• Competitive salary with a focus on a global market; Annual and Incremental Incentive plans; 401K retirement plans (where available)
• Flexible Time Off with Global Holiday Schedules to promote work-life balance
• Wellness initiatives focused on the health and mental well-being of our team members and their families, including free membership to Headspace (a mindfulness and well-being app), an International Employee Assistance Program, and dedicated quarterly Well-being Days and No Internal Meeting Fridays.
• Ongoing training and development opportunities
• Eligible to participate in customary health and other benefit plans and programs based on location
• Work from home opportunities across our global locations with a culture rooted in inclusion and teamwork

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Cradlepoint’s Diversity, Equity, Inclusion, and Belonging mission is to create an inclusive work environment where all employees’ differences are celebrated, their thoughts matter, and everyone feels safe to bring their authentic selves to work. We’re proud to be an equal opportunity employer and aim to attract, develop, and engage top talent from a diverse candidate pool. It is our policy and commitment to provide equal opportunity employment for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law.