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Remote Retail Data Systems Jobs (NOW HIRING)

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... Strong understanding of healthcare data systems and experience leading data engineering teams

Data Architect

Lehi, UT · On-site +1

$59.75 - $77/hr

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Ensure systems are optimized for performance, reliability, and cost efficiency at scale. Build ...

... 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 ...

GCP Data Architect

Richmond, VA · Remote

$65.25 - $84/hr

Remote Duration: Long term contract Note: Looking for Permanent / Independent Visa holders ... Monitoring and tuning data systems for performance and cost-effectiveness

Data Architect

$65.25 - $84/hr

Remote (Work from Anywhere) Type: B2B Contract Experience Level: Senior/Expert Start Date: TBD ... Define data standards, data flows, and governance frameworks across systems and departments

Regional Manager - Sales Performance Remote | Retail, Demos & Experiential Marketing This is a ... You'll manage teams operating in retail stores and in-store demos -- using data, tech, and frequent ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

You want to work closely with product teams and see your data systems directly impact user experience. We work hard to foster a workplace built around trust, respect, and collaboration. As a remote ...

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

You'll design, implement, and evolve scalable data systems that serve our product platform ... Location: 100% remote (US based) * Perks: Health coverage, paid time off, professional development ...

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Remote Retail Data Systems information

See salary details

$10

$49

$74

How much do remote retail data systems jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote retail data systems in the United States is $49.16, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $59.13 per hour, depending on experience, location, and employer.

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 cities are hiring for Remote Retail Data Systems jobs? Cities with the most Remote Retail Data Systems job openings:
What are the most commonly searched types of Retail Data Systems jobs? The most popular types of Retail Data Systems jobs are:
What states have the most Remote Retail Data Systems jobs? States with the most job openings for Remote Retail Data Systems jobs include:
DATA ENGINEER

$117K - $140K/yr

Full-time

Posted 22 days ago


Job description

Title: Senior Data Engineer
Location: Remote

Duration: 06 Months (C2H Role)
Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS
Position Summary:
The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
  • 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
  • Tech Skills:
    • Strong experience in Python Scripting and PySpark for data processing
    • Proficiency in SQL, dealing with big data over Informatica ETL
    • Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
    • Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
    • Expertise in BASH/Shell scripting
    • Experience in Data Build Tool (DBT) or similar data transformation tools
    • Experience in Mulesoft API
    • Nice to have: Kafka, Tableau
  • Strong understanding of healthcare data systems and experience leading data engineering teams
  • Experience in Agile environments.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.

Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.