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Remote Retail Data Systems Jobs in Virginia (NOW HIRING)

Data Engineer, Mid

Alexandria, VA · On-site +1

$62K - $141K/yr

Remote Work: Hybrid Job Number: R0240987 Location: Alexandria,VA,US Share job via: Share Data ... Experience with distributed data systems * Experience developing RESTful APIs in Python to support ...

You will be contributing to a system being built from the ground up, with real influence over how ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

The Data Analytics Architect leads the design, integration, and governance of data systems that ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

Our core services include systems engineering technical advice, technical support, and ... Remote * Must be a U.S. citizen and physically located in the United States * Small, collaborative ...

You will be contributing to a system being built from the ground up, with real influence over how ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

... remote applicants residing in states/locations in the following states: Virginia, North Carolina ... Position Overview You will be designing the structural blueprints for Genworth's data systems ...

... remote applicants residing in states/locations in the following states: Virginia, North Carolina ... Position Overview You will be designing the structural blueprints for Genworth's data systems ...

... Remote Sensing, Intelligence Studies, Engineering, or related field, or equivalent experience * Demonstrated experience with Java development. * Experience designing and operating Big Data systems.

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... Proficiency in data analysis tools, statistical software, database systems, and visualization ...

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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 Virginia?

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

What job categories do people searching Remote Retail Data Systems jobs in Virginia look for?

The top searched job categories for Remote Retail Data Systems jobs in Virginia are:

Data Platform Engineer, AI & Personalization (Remote, East Coast)

P3Hired

Arlington, VA • On-site, Remote

$131K - $158K/yr

Full-time

Re-posted 25 days ago


Job description

Position Overview
Eagle Eye is an AI driven retail technology SaaS company powering personalized promotions and loyalty programs for leading global brands. In this role, you will sit at the heart of our platform building, optimizing, and supporting data systems that deliver high performance, real time personalization for enterprise clients.
As a Data Solutions Engineer, you will play a key role in deploying, operating, and continuously improving our data-driven platform for our clients.
You will work at the intersection of data engineering, system performance optimization, and client-facing technical operations, ensuring that our AI personalization solution runs reliably in production and delivers measurable value.
You will collaborate closely with Product Managers, Data Science, and Customer Success teams, and regularly interact with client technical teams.
The team "Personalized Challenges" is currently Europe-based and you will be the first North America based member. You will primarily communicate remotely with your direct team members in Europe but will also collaborate with our extensive team in North America who are based in Washington, DC, Toronto, Jacksonville and Chicago. Note that overall, Eagle Eye has a global presence, including North America, EMEA and APAC.
This is a United States based remote role with a preference for Eastern time zone candidates, open to applicants authorized to work without sponsorship.
Responsibilities
This role is intentionally a hybrid of responsibilities:
  • Hands-on Data Engineering - 60%
  • Continuous Optimization of Data-Driven Systems - 30%
  • Client-facing Technical Support & Ticket Resolution - 10%

Success in this role is measured by platform reliability, data quality, system performance, and the long-term resolution of production issues, rather than by volume of support tickets.
Platform Deployment & Data Integration
  • Integrate client data pipelines into our data stack
  • Deploy and configure our platform for new clients
  • Ensure data quality, consistency, and reliability across incoming and outgoing data flows
Production Support & Ticket Management
  • Investigate and resolve technical tickets related to data pipelines, system performance, and algorithm behavior
  • Act as a technical escalation point for Customer Success teams
  • Diagnose root causes, propose fixes, and ensure long-term prevention of recurring issues
Continuous Optimization & Performance Improvement
  • Analyze system and algorithm performance using metrics, logs, and experimentation
  • Identify opportunities to optimize data pipelines, processing logic, and algorithm configurations
  • Collaborate with Product and Data Science teams to prioritize and roll out improvements
  • Design and analyze A/B tests to measure the impact of changes

You Are
  • Disciplined problem-solver who enjoys digging into the "why" of system behavior to find long-term solutions.
  • An autonomous worker, ready to be the first North American member of the team while maintaining effective collaboration with European colleagues.
  • A clear, structured communicator capable of explaining complex technical issues to both engineers and non-technical stakeholders.
  • Rigorous and detail-oriented, especially when monitoring production systems and ensuring data integrity.
  • Comfortable navigating production incidents and support tickets with a calm, engineering-driven approach.
  • Curious and pragmatic, motivated by understanding real-world client use cases and optimizing system performance.
  • Comfortable working fully remotely: even if located near other team members, you will be remote from your direct colleagues based in France. You have proven experience thriving in a fully remote setup and collaborating across cultures.
  • Able to participate in a 1-2 week onboarding in Paris, offering dedicated time for in-person collaboration, learning, and team connection.
You Have
  • 3-5 years of experience as a Data Engineer or Data Solutions Engineer in a production-heavy environment.
  • A bachelors degree in Computer Science, Data Engineering, or a related field.
  • Deep hands-on experience with Python and/or Scala.
  • Proven expertise using Spark for large-scale data processing.
  • Practical experience building and managing data stacks within Google Cloud Platform (GCP) and BigQuery.
  • A solid foundation in data engineering principles, including data pipeline design and system optimization.
  • A working knowledge of Data Science and Machine Learning concepts to help bridge the gap between data flows and algorithm performance.

Department Technology Locations Arlington, VA Client Name Eagle Eye