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Remote Retail Data Systems Jobs (NOW HIRING)

BCD Travel

Program Analyst, Client Data Systems

$69K - $80K/yr

Grow, connect, collaborate and celebrate with our global team Program Analyst, CDS (Remote ... Solid understanding of how travel data flows from point-of-sale systems to downline systems

NinjaTrader

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Improve observability, alerting, and SLOs across data systems so pipelines are easier to monitor ...

Appriss Retail

Data Science Manager

$160K - $170K/yr

About Appriss Retail Appriss Retail is the total retail loss solution for omnichannel, unifying ... The right candidate has built and shipped real data platforms and AI/ML systems using a modern ...

Crisp, Inc.

Enterprise Sales Director - Retail

As the leading AI vertical retail data company, Crisp leverages AI to facilitate the integration ... Work both independently and collaboratively in a fast-paced, remote environment. * Deliver ...

Crateandbarrel

$114K - $155K/yr

... national retail data platform using a Medallion architecture (Bronze through Platinum). Our ... This position is fully remote * This role is an Individual Contributor position A day in the life ...

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Remote Retail Data Systems information

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$10

$49

$74

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

As of Sep 5, 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.

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

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Remote Retail Data Systems jobs near you
Infographic showing various Remote Retail Data Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $102,260 per year, or $49.2 per hour.

Senior Software Engineer, Data Systems (Python)

Northbeam

Remote

$117K - $140K/yr

Full-time

Re-posted 29 days ago

Job description

About the Role

Northbeam is fundamentally a data product - the whole company. We don't sell shoes, ads, games, or database technologies. We sell data: quality integrations with a variety of platforms, fresh and reliable data pulls, correct aggregations, and algorithmic insights on top of that data, all packaged up in a user-facing application.

What this means is that out data systems team is foundational and load-bearing. As a data-tilted software engineer working at Northbeam, you will work with a cross-functional team of product managers, product engineers, and business leaders to translate our customers' feedback into scalable data pipelines and products.

The work involves creating, maintaining, and improving a labyrinth of integrations and transformations in a complex network of touchpoints to keep everything running smoothly. The system is powered by data that spans numerous ad platforms, a variety of order management systems (such as Shopify and Amazon), as well as our own real-time events that we collect as our customers navigate their online stores.

Curiosity, experience, and a desire to build data pipelines and applications at scale will be the key to success in this role.

Your Impact

This is a startup. The one thing that's constant is change. To start with, you can expect to:

  • Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources, ensuring reliability, observability, and maintainability.
  • Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
  • Work with event-driven and batch processing architectures, ensuring data freshness and consistency at scale.
  • Drive clean API design and integration patterns that support both real-time and batch ingestion while handling diverse authentication mechanisms (OAuth, API keys, etc.).
  • Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues, ensuring transparency and reliability.
  • Optimize data flows and transformations, balancing cost, efficiency, and rapid development cycles in a cloud-native environment.
  • Collaborate with data engineering, infrastructure, and product teams to create an integration platform that is flexible, extensible, and easy to onboard new sources.

You will work with great people who have done this many times before. You will teach them some new tricks, and maybe learn some old ones.

If this sounds like your kind of chaos, we'd love to hear from you.

What You Bring
  • 5+ years of experience in data engineering, software engineering, or integration engineering, with a focus on ETL, APIs, and data pipeline orchestration.
  • Strong proficiency in Python 
  • Experience with API-based ETL, handling REST, GraphQL, Webhooks
  • Experience implementing authentication flows
  • Proficiency in SQL and BigQuery
  • Experience with orchestration frameworks (e.g., Airflow) to manage and monitor complex data workflows.
  • Familiarity with containerization (Docker, Kubernetes) to deploy and scale workloads.
  • Ability to drive rapid development while ensuring maintainability, balancing short-term delivery needs with long-term platform stability.
Bonus Skills & Experience 
  • Detailed understanding of authentication mechanisms (OAuth 2.0, API keys, secrets management) and secure multi-tenant architectures.
  • Experience working with ERP systems, CRMs, CDPs, or complex other enterprise data tools and their APIs.
  • Exposure to event-driven architectures and real-time data processing tools
  • Knowledge of data governance, compliance (GDPR, SOC2), and security best practices for handling sensitive data.
  • Experience working in a multi-tenant SaaS or large-scale data-intensive environment.

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