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Remote Retail Data Systems Jobs in California (NOW HIRING)

Optimize and manage data storage systems and ensure high availability, reliability, and performance. Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract ...

... data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you. Key Responsibilities: • Design, develop, and maintain robust and ...

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

If you want to build reliable, scalable data systems with real, visible impact, this is the team ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

Financial Systems Analyst

Hawthorne, CA · On-site +1

$100K - $130K/yr

You will build and maintain reliable, auditable tools and data pipelines against large financial ... This position is based in Hawthorne, CA, and requires being onsite - remote or hybrid work will not ...

... retail, data entry, chat support, zendesk, Call center, Support, Customer service oriented Top ... remote position. Application Deadline This position is anticipated to close on Aug 14, 2026. About ...

... systems Data visualization skills Data Analyst Key Responsibilities Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable ...

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Remote Retail Data Systems information

What is the difference between Remote Retail Data Systems vs Remote Retail Data Analysts?

AspectRemote Retail Data SystemsRemote Retail Data Analysts
CredentialsTypically requires knowledge of data management, retail systems, and sometimes certifications in data or retail softwareRequires analytical skills, proficiency in data analysis tools, and often a degree in data science, statistics, or related fields
Work EnvironmentFocuses on managing retail data systems, software configuration, and data integrity remotelyInvolves analyzing retail data, generating reports, and providing insights remotely
Industry UsageUsed by retail companies to maintain and optimize data systemsEmployed by retail firms to interpret data and support decision-making

Remote Retail Data Systems professionals focus on managing and maintaining retail data infrastructure, while Remote Retail Data Analysts interpret data to inform business strategies. Both roles are essential in retail data management but differ in their primary functions and skill sets.

What are the most commonly searched types of Retail Data Systems jobs in California?

The most popular types of Retail Data Systems jobs in California are:

What are popular job titles related to Remote Retail Data Systems jobs in California?

For Remote Retail Data Systems jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Retail Data Systems jobs?

Cities in California with the most Remote Retail Data Systems job openings:

Data Architect (Remote)

Innowhyte Inc

On-site, Remote

Full-time

Re-posted 27 days ago


Job description

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.
Key Responsibilities:
Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
Optimize and manage data storage systems and ensure high availability, reliability, and performance.
Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.
Handle large-scale datasets, ensuring data integrity and consistency across platforms.
Provide technical expertise and mentorship to junior engineers and stakeholders.
Implement best practices in data engineering, including version control, testing, and deployment.
Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum 5+ years of hands-on experience in data engineering or related roles.
Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
Hands-on technical expertise in designing and implementing end-to-end data solutions.
Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
Work with state-of-the-art technologies in AI, ML, and data engineering.
Competitive compensation and ample opportunities for career growth.
Employment Type: FULL_TIME