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Customer Data Jobs in California (NOW HIRING)

Gridsight

Customer Data Engineer

San Francisco, CA · On-site

The Role Our Customer Data Engineers own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly. You'll work directly with utility customers to ...

IXL Learning

Customer Data Specialist

San Mateo, CA · On-site

$70K - $90K/yr

IXL Learning, developer of personalized learning products used by millions of people globally, is looking for a Customer Data Specialist. This role will support key accounts by providing data-driven ...

IXL Learning

Customer Data Specialist

San Mateo, CA · On-site

$19.50 - $25.75/hr

They are seeking a Customer Data Specialist to support key accounts by providing data-driven insights and custom reports that optimize IXL's implementation in educational institutions.

IXL Learning

Customer Data Specialist

San Mateo, CA · On-site

$70K - $90K/yr

Collaborating with Account Management, you will identify and fulfill the data requirements of our high-priority customers. This involves creating custom reports that effectively communicate IXL ...

IXL Learning

Customer Data Specialist

San Mateo, CA · On-site

$19.50 - $25.75/hr

They are seeking a Customer Data Specialist to support key accounts by providing data-driven insights, optimizing implementations, and creating custom reports to communicate IXL's impact on education.

IXL Learning

Customer Data Specialist

San Mateo, CA · On-site

$70K - $90K/yr

Customer Data Specialist IXL Learning, developer of personalized learning products used by millions of people globally, is looking for a Customer Data Specialist. This role will support key accounts ...

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All JobsCustomer Data JobsCustomer Data Jobs in California

Customer Data information

What is the difference between Customer Data vs Customer Support Specialist?

AspectCustomer DataCustomer Support Specialist
Primary RoleCollecting, analyzing, and managing customer informationAssisting customers with inquiries, troubleshooting, and support
Required SkillsData analysis, database management, attention to detailCommunication, problem-solving, customer service
Work EnvironmentData teams, analytics departments, office settingsCustomer service centers, call centers, office settings
Common CertificationsData analysis certifications, CRM software trainingCustomer service certifications, communication skills training

Customer Data professionals focus on managing and analyzing customer information to support marketing and business decisions, while Customer Support Specialists directly assist customers with their issues. Both roles are essential in customer-centric industries but serve different functions within the customer experience ecosystem.

What are the most commonly searched types of Customer Data jobs in California? The most popular types of Customer Data jobs in California are:
Customer Data jobs near you
Infographic showing various Customer Data job openings in California as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Customer Data Engineer

Gridsight

San Francisco, CA • On-site

Full-time

Posted 21 days ago

Job description

About Gridsight
Electricity grids are undergoing the most significant transformation in a century. The shift to renewables, the proliferation of rooftop solar, batteries, and EVs, and the increasing complexity of distribution networks are forcing utilities to operate their grids in fundamentally new ways. Gridsight is the analytics platform that makes this possible.
Gridsight is a rapidly growing GridTech startup dedicated to accelerating global electrification and decarbonization. We are an AI-powered vertical SaaS platform that enables electric utilities to modernize grid operations, accelerate DER interconnection, and unlock dynamic grid capacity. The opportunity is enormous.
Why Now
Gridsight was founded in Australia five years ago. Since then, we've established a strong product-market fit and emerged as the category leader. We are now scaling rapidly across the US with multiple Top 20 utilities.
This role exists because we're growing faster than our current implementation process, and we need someone who can both roll up their sleeves to deliver today and help us build the tooling and process that makes tomorrow faster.
You'll be working at the intersection of delivery and data - close to customers, close to the commercial team, and close to the product and engineering decisions that shape what we build next.
The Role
Our Customer Data Engineers own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly. You'll work directly with utility customers to understand their data environments, guide them through Gridsight's requirements, and lead the technical work of getting their data into the platform. You'll also contribute to the internal tooling that makes the next implementation faster and to the product work that accelerates time-to-value.
You'll spend roughly half your time in conversations with customers, half heads-down wrangling data, running transforms, and configuring the system.
Gridsight runs an AI-forward stack that gives data engineers access to best-in-class tooling across data infrastructure, orchestration, and AI-assisted development, including: Databricks, dbt, Dagster, AWS, and enterprise Claude Code. Staying ahead of the curve is part of the job.
Key Responsibilities
Customer Implementations (~80%)
  • Lead end-to-end data implementation engagements with utility customers, from running workshops to scope data requirements through to live data flowing in the platform.
  • Set up and configure data infrastructure in line with Gridsight's current implementation process.
  • Map incoming customer data to Gridsight's schemas, develop code to transform customer data, and validate outputs against quality standards.
  • Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues.
  • Run and monitor the data pipelines required to deliver a successful implementation.
  • Drive customer data deliveries to completion. Triage and unblock issues, communicate clearly with customers and internal stakeholders, and maintain momentum.
  • Manage complex implementation situations with composure; maintain momentum and tight timelines, incomplete data, shifting priorities, and competing demands.

Product Support (~20%)
  • Identify and communicate patterns across customer engagements to inform product direction.
  • Partner with Gridsight's data engineering team to productize implementation and transformation logic - turning bespoke code into repeatable, platform-ready tooling.
  • Scope the data requirements needed to enable new product capabilities.
  • Contribute to internal documentation, playbooks, and tooling that improve the efficiency and consistency of future implementations.
  • Bring a tool-first mindset to the work: spot manual steps that can be automated, and take initiative to improve them.

Qualifications
  • 4+ years of professional experience in data engineering, analytics engineering, technical consulting, or a similar role that combines hands-on data work with direct customer or stakeholder engagement.
  • Advanced SQL skills and demonstrated ability to analyse, validate, and wrangle complex or messy datasets.
  • Proficiency in Python for data transformation, validation, and scripting.
  • Experience with dbt or similar ELT/ETL frameworks and working within data pipelines.
  • Ability to lead customer-facing technical engagements - managing expectations, communicating data requirements clearly, and driving deliveries to completion.
  • Experience with cloud data infrastructure and modern development practices (Git, command-line environments, collaborative codebases).
  • A track record of building internal tools, leveraging AI-assisted development tooling or automating manual work to improve process efficiency.
  • Comfort with ambiguity - customer data environments are varied and there won't always be a playbook.
  • Proactive and self-directed - you see what needs doing and drive it to completion without close supervision.

What We Offer
  • Rapidly scaling venture-backed company on the ground floor.
  • Highly competitive salary, equity, and comprehensive benefits package.
  • A mission that matters in an industry going through its biggest transformation in a century.
  • A team worth working with - big hustle, low ego, great vibes - that's motivated by solving difficult, meaningful problems.
  • All-expenses-paid trips to Australia to co-work with your colleagues 'down under.'
  • Flexible, hybrid working environment with offices in San Francisco and Austin.

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