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Full Time Remote Big Data Jobs (NOW HIRING)

Azumo

Data Scientist, Applied AI - Remote

The position is FULLY REMOTE , based in Latin America. Professional English proficiency (B2/C1 ... We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data ...

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BCBA (Full-Time, Remote)

Saint George, UT · Remote

$75K - $105K/yr

Remote BCBA The BCBA Clinician practices under the close, ongoing supervision of the Clinical ... Maintain clinical paperwork (e.g., required forms, releases, reports, etc.), analyze data, and ...

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 ...

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Full Time Remote Big Data information

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

As of Jun 11, 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.
Data Scientist, Applied AI - Remote

Data Scientist, Applied AI - Remote

Azumo

Remote

Full-time

PTO

Posted 26 days ago

Job description

Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1)
This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production-level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands-on experience working with PyTorch.
We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end-to-end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high-quality, scalable, maintainable systems.
Key Responsibilities
Model Development & Productionization
  • Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting).
  • Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch.
  • Develop and fine-tune Large Language Models (LLMs) and build LLM-driven applications.
  • Implement Retrieval-Augmented Generation (RAG) pipelines and integrate with vector databases.
  • Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD).

Data Engineering & MLOps
  • Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark.
  • Automate training and serving workflows with Airflow or similar orchestration tools.
  • Monitor model performance in production; iterate on drift detection and retraining strategies.
  • Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs.

Software Development Best Practices
  • Write production-grade Python code following SOLID principles, unit tests and code reviews.
  • Collaborate in Agile (Scrum) ceremonies; track work in JIRA.
  • Document architecture and workflows using PlantUML or comparable tools.

Cross-Functional Collaboration
  • Communicate analysis, design and results clearly in English.
  • Partner with DevOps, data engineering and product teams to align on requirements and SLAs.

About Azumo
Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions.
At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open-source initiatives and sharing our knowledge.
If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join-our-team or connect with us at people@azumo.co
Requirements
Minimum Qualifications
  • Bachelor's or Master's in Computer Science, Data Science or related field.
  • 5+ years of professional experience with Python in production environments.
  • Solid background in machine learning & deep learning (CNNs, Transformers, LLMs).
  • Hands-on experience with PyTorch or similar frameworks (training, custom modules, optimization).
  • Proven track record deploying ML solutions.
  • Expert in pandas, NumPy and scikit-learn.
  • Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence).
  • Strong foundation in statistics and experimental design.
  • Excellent written and spoken English.

Preferred Qualifications
  • Experience with cloud platforms (AWS, GCP, or Azure) and their AI-specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning.
  • Familiarity with big-data ecosystems (Spark, Hadoop).
  • Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes).
  • Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX).
  • Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines.
  • Hands-on experience with vector databases (e.g., Pinecone, FAISS).
  • Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph.
  • Documentation skills using PlantUML or similar.

Benefits
  • Paid time off (PTO)
  • U.S. Holidays
  • Training
  • Udemy free Premium access
  • Mentored career development
  • Profit Sharing
  • $US Remuneration

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