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Full Time Remote Big Data Jobs (NOW HIRING)

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

The ideal candidate will bring strong expertise in cloud-based data processing, big data ... Flexible work environment and remote work options. Join us and be part of a team building ...

Aretec

AWS Data Analytics and Management Lead

Aretec seeks an AWS Data Analytics and Management Lead for a 100% remote opportunity experience ... enterprise big data application deployment and solution architecture on complex heterogeneous ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Expertise in data lakes, warehouses, modeling, ETL, and big data platforms. * Familiarity with ...

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$29/hr

Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No AI and Data ... around big data, and establishing Hitachi as a leader in Industrial AI. Role Overview We are ...

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... Expertise in data lakes, warehouses, modeling, ETL, and big data platforms. * Familiarity with ...

Futran Tech Solutions Pvt. Ltd.

Sr Data Scientist

Remote Summary: The main function of the Data Scientist is to produce innovative solutions driven ... Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop ...

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Full Time Remote Big Data information

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$15

$62

$88

How much do full time remote big data jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for full time remote big data in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is the difference between Full Time Remote Big Data vs Full Time Remote Data Engineer?

AspectFull Time Remote Big DataFull Time Remote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's in CS, Software Engineering; experience with ETL, cloud platforms
Work EnvironmentRemote, collaborative teams, data analysis focusRemote, development-focused, infrastructure setup
Industry UsageTech, finance, healthcare, retailTech, finance, consulting, e-commerce

Full Time Remote Big Data roles focus on managing and analyzing large datasets using tools like Hadoop and Spark, often emphasizing data processing and analytics. Full Time Remote Data Engineers build and maintain data pipelines, focusing on infrastructure, ETL processes, and cloud platforms. While both roles require similar technical credentials and often operate remotely, their core responsibilities differ: Big Data roles analyze data, whereas Data Engineers develop the systems that enable data analysis.

How can I make 2000 a week working from home?

A full-time remote Big Data professional can earn $2,000 or more weekly by leveraging high-demand skills such as data engineering, analytics, and proficiency with tools like Hadoop or Spark. Achieving this income typically requires extensive experience, specialized certifications, and working on complex projects for clients or employers who pay competitive rates.

How can I make $100,000 a year working from home?

A full-time remote Big Data professional can reach a $100,000 annual salary by gaining expertise in data engineering, analytics, or machine learning, often requiring skills in SQL, Python, and cloud platforms like AWS or Azure. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand areas can help achieve this income level while working remotely.

Is 30 too late for data science?

For a full-time remote big data role, age is generally not a barrier; many professionals transition into data science or big data roles at various ages. Success depends on skills, experience, and continuous learning in tools like Hadoop, Spark, and Python. Age should not deter pursuing a career in data science or big data fields.

What jobs can I do 100% remotely?

Full Time Remote Big Data roles typically involve data analysis, data engineering, or data science positions that can be performed entirely online. These jobs often require skills in programming, cloud platforms, and data management tools, and they allow employees to work from any location with internet access.
More about Full Time Remote Big Data jobs
What cities are hiring for Full Time Remote Big Data jobs? Cities with the most Full Time Remote Big Data job openings:
What are the most commonly searched types of Remote Big Data jobs? The most popular types of Remote Big Data jobs are:
What job categories do people searching Full Time Remote Big Data jobs look for? The top searched job categories for Full Time Remote Big Data jobs are:
Full Time Remote Big Data jobs near you
Infographic showing various Full Time Remote Big Data job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 6% Part Time, and 11% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance

Morrisville, NC • On-site, Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture. These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Data Architecture Design and Modelling
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement
  • Define reference architectures, coding standards, and reusable patterns for data engineering teams
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security
  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication
  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements
Education & Experience
Bachelor's degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.
The following technical certification (or comparable) is required:
• Databricks Certified Data Engineer Professional
The following technical certification (or comparable) is preferred:
• Azure Security Engineer Associate (AZ-500)
Knowledge, Skills, & Abilities
  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$116,011-$147,914/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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