Staff Data Engineer

Palo Alto, CA

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Life at Plume

At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.

We now deliver services to over 50 million locations globally and have managed over 2.5 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Communications Service Providers (CSPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. 

With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.

As a Staff Data Engineer on Plume’s Data Products team, you will play an integral role in shaping the data platform that powers the gamut of Plume’s next generation of products and analytics. You will work with a modern data tech stack and collaborate with cross-platform teams to solve challenging problems on a daily basis.

What you will do:

  • Architect and productionize Spark data pipelines supporting data-oriented products, machine learning, and analytics.
  • Work with cross-functional teams to design end-to-end system architectures and data flows.
  • Adhere to data protection requirements including data access, retention, residency, and de-identification
  • Maintain up-to-date documentation of data warehouse schemas
  • Systematically enhance data quality, availability, and observability
  • Analyze and solve performance, cost, and scale challenges
  • Refactor code as needed to improve performance and simplify operations
  • Provide production support in triaging and fixing issues relating to data quality and availability
  • Mentor junior team members and new hires

What You’ll Bring

  • Education Requirements: BS/MS/PhD in Computer Science, Electrical Engineering or related technical field
  • 8+ years of software development experience with a proven track record of building, scaling, and supporting production data pipelines
  • High proficiency in writing clean, idiomatic code in Scala or Python
  • High proficiency in writing SQL in data warehousing technologies
  • Strong understanding of distributed data processing technologies (e.g. Apache Spark) and handling data at petabyte scale
  • Strong understanding of data warehousing concepts
  • Strong analytical and problem-solving skills
  • Strong oral and written communication skills

Kindly note that this is a HYBRID position, with a requirement to work in the office 3 days a week. We’re looking for candidates who are within a commutable distance. At this time, we are unable to provide relocation assistance or visa sponsorship.

Total Compensation package would include: anticipated salary range of $155,000.00 - $182,000.00  + bonus + equity + benefits.  Benefits include: a 401k plan and a company match, basic life insurance plus unparalleled health, dental, vision and other benefits and perks. Please see here for more details.

An employee’s base salary and its position within the range may depend on a number of factors including job related knowledge, education, skills, experience and other business related considerations. Published ranges are provided in good faith at the time of posting. 

About Plume

As the creator of the only open, hardware-independent, cloud-controlled experience platform for CSPs and their subscribers, Plume partners with over 350 CSP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM. 

Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows CSPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.  

Backed by investors such as Insight Partners and SoftBank Vision Fund 2, Plume is now valued at $2.6B, having added over $500M in funding in 2021 alone.

Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.

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Tags: Architecture Computer Science Data pipelines Data quality Data warehouse Data Warehousing Engineering Machine Learning Open Source PhD Pipelines Python Scala Spark SQL

Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Relocation support Salary bonus

Region: North America
Country: United States

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