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Shopify Data Jobs in California (NOW HIRING)

Shopify Data * Creator Economy Experience * LLMs and AI Agents * Data Warehousing & ETL Systems Join us as we build the intelligence layer powering the future of influencer marketing. #J-18808-Ljbffr

Shopify POS Lead Location: Los Angeles CA (3 days in a week) Duration: 6+ months contract ... enterprise data flows and with RFID specialists on store inventory operations. • Provide ...

Own the Shopify platform end to end , including catalog setup and product data architecture, store settings, markets and checkout configuration, and overall store health. Establish clear, scalable ...

Director, Shopify Engineering

Los Angeles, CA · On-site +1

$183K - $220K/yr

Own the Shopify platform end to end , including catalog setup and product data architecture, store settings, markets and checkout configuration, and overall store health. Establish clear, scalable ...

Integrations Manager

Los Angeles, CA · On-site

$120 - $180/hr

Own the technical integrations and movement of data between business systems, including NetSuite, Shopify, Celigo, 3PL providers, and CRM platforms. * Monitor integration health, troubleshoot ...

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Shopify Data information

See California salary details

$10

$36

$77

How much do shopify data jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for shopify data in California is $36.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.36 and $49.67 per hour, depending on experience, location, and employer.

What is a Shopify Data job?

Shopify Data jobs involve working with data generated by the Shopify e-commerce platform. These roles typically include analyzing sales, customer, and product data to provide insights that help businesses optimize operations and increase revenue. Professionals in these positions may use tools like SQL, Excel, and data visualization software to generate reports, track key performance indicators, and support decision-making. They often collaborate with marketing, operations, and IT teams to ensure data accuracy and leverage analytics for strategic growth.

What are the key skills and qualifications needed to thrive as a Shopify Data Analyst, and why are they important?

To thrive as a Shopify Data Analyst, you need strong analytical skills, proficiency in data interpretation, and experience with e-commerce metrics, typically backed by a degree in data science, statistics, or a related field. Familiarity with Shopify's analytics dashboard, SQL, Excel, and data visualization tools like Tableau or Power BI is usually required. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for drawing actionable insights and sharing findings with stakeholders. These skills and qualities are vital for optimizing store performance, driving informed business decisions, and supporting growth in a competitive online marketplace.

What are some common challenges faced in a Shopify Data Analyst role, and how can they be addressed?

One common challenge in a Shopify Data Analyst role is integrating data from various sources, such as third-party apps and marketing platforms, to create a unified view of store performance. Analysts often need to clean and standardize data, which requires strong attention to detail and proficiency with data processing tools. Collaborating closely with marketing, sales, and IT teams is essential to ensure that insights are actionable and aligned with business goals. Staying updated on Shopify's evolving features and new data integrations can also help address these challenges and improve reporting accuracy.

What is the difference between Shopify Data vs Shopify Data Analyst?

AspectShopify DataShopify Data Analyst
Primary RoleManaging and organizing Shopify store dataAnalyzing store data to provide insights and recommendations
Skills RequiredData management, basic analytics, Shopify platform knowledgeData analysis, reporting, visualization, Shopify platform knowledge
CertificationsBasic data management certifications, Shopify Partner certificationsData analysis certifications (e.g., Google Data Analytics), Shopify certifications
Work EnvironmentData management teams, e-commerce supportMarketing, e-commerce, analytics teams

Shopify Data roles focus on managing and organizing store data, while Shopify Data Analysts interpret this data to inform business decisions. Both roles require familiarity with Shopify and data tools, but Data Analysts have a stronger emphasis on analysis and reporting.

Infographic showing various Shopify Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,892 per year, or $37 per hour.

Machine Learning Engineer

Socket.dev

Los Angeles, CA • On-site

$180 - $250/hr

Other

Posted 23 days ago


Job description

Company Description

nowfluence is building the trusted infrastructure layer for influencer marketing.

Backed by USC and Techstars, we're creating the software, data, and intelligence systems that help brands discover creators, launch campaigns, track ROI, manage payments, and make smarter investment decisions across the creator economy.

Our mission is simple: make influencer marketing measurable, scalable, and accessible to everyone. From global consumer brands to local restaurants, cafés, and emerging businesses, we're building the platform that helps companies confidently invest in creator partnerships.

As creator marketing becomes one of the largest advertising channels in the world, we're building the systems that power it.

Role Description

Founding Data Scientist / Machine Learning Engineer

We're looking for a highly ambitious Data Scientist to help build the predictive intelligence layer behind nowfluence.

This is not a reporting or dashboard role.

You'll be responsible for developing the models, pipelines, and analytics systems that help brands answer critical questions:

  • Which creators are most likely to drive revenue?
  • Which partnerships should be renewed?
  • How can campaign outcomes be predicted before budgets are spent?
  • How do we make influencer marketing more accessible and successful for SMBs?

You'll work across product, engineering, and data to transform creator, campaign, audience, and attribution data into scalable machine learning systems used by brands running influencer programs at scale.

Your work will directly influence how businesses allocate marketing budgets and make decisions across the creator economy.

Requirements
  • Strong experience with Python, Machine Learning, and Predictive Modeling
  • Experience building production-grade data pipelines and analytics infrastructure
  • Proficiency with React, Next.js, TypeScript, and Tailwind CSS
  • Experience with PostgreSQL, APIs, and modern cloud architectures
  • Strong understanding of statistics, experimentation, and large-scale data analysis
  • Experience deploying ML models into production environments
  • Startup mindset with a desire to build and move quickly
Bonus
  • Recommendation Systems
  • Marketing Attribution
  • Shopify Data
  • Creator Economy Experience
  • LLMs and AI Agents
  • Data Warehousing & ETL Systems

Join us as we build the intelligence layer powering the future of influencer marketing.

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