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Remote Data Platform Engineer Jobs in Bloomington, CA

Software Engineer

Claremont, CA ยท Remote

$100K - $125K/yr

... data security, and operational efficiency. We are now entering a significant growth phase ... platform. This is a hybrid/remote position based in Claremont, CA. You'll work alongside a ...

AI Infrastructure Engineer

Norco, CA ยท On-site +1

$115K - $151K/yr

Blend AI platform engineering, secure distributed data architecture, and classified-environment deployment engineering. * Evaluate current systems, design modernization roadmaps, and build secure ...

New

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

Hybrid-Remote (Tuesday and Wednesday in the office/field) JOB OPPORTUNITY: WE ARE HIRING JUNIOR ... This position requires use of MS Excel software to analyze and aggregate data related to Budgets ...

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Remote Data Platform Engineer information

See Bloomington, CA salary details

$45.1K

$131.4K

$179.9K

How much do remote data platform engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote data platform engineer in Bloomington, CA is $131,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $139,300.00 per year, depending on experience, location, and employer.

What is a remote data platform engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.

What are the key skills and qualifications needed to thrive as a remote data platform engineer?

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a remote data platform engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

What are popular job titles related to Remote Data Platform Engineer jobs in Bloomington, CA?

For Remote Data Platform Engineer jobs in Bloomington, CA, the most frequently searched job titles are:

What cities near Bloomington, CA are hiring for Remote Data Platform Engineer jobs?

Cities near Bloomington, CA with the most Remote Data Platform Engineer job openings:

Infographic showing various Remote Data Platform Engineer job openings in Bloomington, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,442 per year, or $63.2 per hour.

Sr. Adobe Experience Platform (AEP) Engineer (100% Remote)

Prosum Inc.

Redlands, CA โ€ข On-site, Remote

Other

Re-posted 4 days ago


Job description

Job Description
Sr. Programmer AnalystSalary Range: $100k to $150k Overview
A leading organization is seeking a Sr. Programmer Analyst to support and optimize enterprise digital analytics and data collection initiatives. This role will focus on implementing scalable tagging solutions, managing analytics infrastructure, ensuring data integrity, and supporting cross-functional digital experience initiatives.
The ideal candidate will bring strong experience with enterprise tag management platforms, analytics ecosystems, and front-end technologies, along with expertise in governance, privacy compliance, and event-driven data architectures.
Key ResponsibilitiesTag Management & Analytics Implementation
  • Develop, implement, and maintain tagging solutions across digital platforms using enterprise tag management systems including:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Other enterprise tagging platforms
  • Configure and manage tag properties, rules, and workflows across multiple domains and environments
  • Support publishing processes and library management within AEP Data Collection
  • Design and execute scalable analytics tracking strategies and tagging standards
Data Collection & Analytics Architecture
  • Implement and maintain event-driven analytics frameworks including:
    • EDDL
    • AdobeDataLayer
  • Ensure accurate, consistent, and efficient data collection across digital properties
  • Partner with stakeholders to define tracking requirements and data layer specifications
  • Support enterprise customer journey and digital analytics initiatives
Testing, Debugging & Data Quality
  • Conduct validation, QA testing, and debugging of analytics implementations
  • Troubleshoot tagging and tracking issues to ensure data integrity and platform performance
  • Monitor analytics accuracy and tracking consistency across web environments
Cross-Functional Collaboration
  • Collaborate with:
    • Front-end engineering teams
    • UX/UI teams
    • Product managers and product owners
    • Business analysts
    • Marketing and analytics stakeholders
  • Align analytics implementation strategies with business and customer experience objectives
  • Provide support and guidance for analytics best practices and governance standards
Governance, Compliance & Documentation
  • Enforce tagging governance standards and implementation best practices
  • Ensure compliance with data privacy regulations including GDPR and CCPA
  • Create and maintain implementation documentation and tracking specifications
  • Support onboarding and training efforts related to analytics tools and processes
Required Qualifications
  • 5+ years of experience in digital analytics, tag management, or analytics implementation
  • Hands-on experience with:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Similar enterprise tag management platforms
  • Strong experience with:
    • Tag implementation
    • Testing and debugging
    • Analytics solution design and planning
  • Strong JavaScript skills related to analytics and tag deployment
  • Working knowledge of:
    • HTML
    • CSS
    • Front-end development concepts
  • Experience with data layer standards, governance, and formatting
  • Familiarity with Agile development methodologies and software development lifecycle processes
  • Strong written and verbal communication skills
  • Bachelor's degree in Computer Science, Information Systems, or related STEM field
Preferred QualificationsAdobe Analytics Ecosystem
  • Experience with:
    • Adobe Analytics
    • Adobe Experience Platform (AEP)
    • Customer Journey Analytics (CJA)
    • Customer Data Platform (CDP)
    • Adobe Web SDK implementation
Advanced Analytics & Governance
  • Understanding of Adobe Analytics concepts including:
    • eVars
    • Props
    • Success Events
    • SAINT classifications
    • Rule-based classifications
  • Experience supporting analytics governance across enterprise digital ecosystems
Technical & Automation Skills
  • Experience integrating with Adobe and third-party APIs
  • Python scripting experience for automation or analytics workflows
  • Familiarity with crawling and site analysis tools such as:
    • Screaming Frog
    • Python-based crawlers
Enterprise & Global Experience
  • Experience supporting international or multi-region analytics deployments
  • Understanding of enterprise marketing analytics and customer lifecycle measurement
  • Knowledge of privacy, compliance, and consent management considerations for analytics implementations
Additional Information
  • Opportunity to work on enterprise-scale digital analytics initiatives
  • Collaborative, cross-functional environment
  • Exposure to modern analytics platforms and customer experience technologies

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