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Remote Customer Data Platform Jobs in California

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site +1

... customer experience, and machine learning, helping the company scale faster on a more trusted, modern, and AI-ready data foundation. You will help build the next-generation data platform supporting a ...

New

Lancesoft

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Lead Data Engineer -Data & AI, Supply Chain Fully Remote Rate: $40/hour About the Role Tech is ... Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

DataHub

Customer Centric Engineer

Palo Alto, CA · On-site +1

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS ... Remote Work All roles are remote unless otherwise specified in the . Review the to confirm if the ...

Worldmarket

Lead Data Engineer

Alameda, CA · Remote

$155K - $175K/yr

... customers with a unique, ever-changing marketplace of products from around the world. Our ... engineers working across platform and analytics. This is a fully remote position, with ...

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All JobsCustomer Data Platform JobsRemote Customer Data Platform JobsRemote Customer Data Platform Jobs in California

Remote Customer Data Platform information

What is the difference between Remote Customer Data Platform vs Remote Data Analyst?

AspectRemote Customer Data PlatformRemote Data Analyst
Required CredentialsData management certifications, knowledge of CDP toolsStatistics, data analysis certifications, SQL, Excel
Work EnvironmentCollaborates with marketing, sales, IT teamsWorks with datasets, reports, dashboards
Employer & Industry UsageMarketing, e-commerce, SaaS companiesFinance, healthcare, retail sectors

The main difference is that a Remote Customer Data Platform specializes in managing and integrating customer data across platforms, focusing on marketing and customer insights. In contrast, a Remote Data Analyst interprets data to support business decisions across various departments. Both roles require analytical skills, but their focus and tools differ, making them distinct career paths within data-driven industries.

What are the most commonly searched types of Customer Data Platform jobs in California? The most popular types of Customer Data Platform jobs in California are:
What are popular job titles related to Remote Customer Data Platform jobs in California? For Remote Customer Data Platform jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Customer Data Platform jobs in California look for? The top searched job categories for Remote Customer Data Platform jobs in California are:
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Remote Customer Data Platform jobs near you

Software Engineer, Distributed Systems (Core)

Career Renew

Los Angeles, CA • Remote

$180K - $320K/yr

Full-time

Re-posted 15 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)