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Remote Big Data Tester Jobs (NOW HIRING)

Azumo

Data Scientist, Applied AI - Remote

We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big-data ... Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software ...

Precision Technologies Corp

Data Engineer

Jersey City, NJ · Remote

$117K - $140K/yr

Remote, however travel might be required as per business requirements Where you're headed Laying ... Deep knowledge of Big-Data technologies, such as Hadoop and Spark * Solid programming skills in ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Identify trends and problems through complex big data analysis. Maintain current in emerging tools ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Identify trends and problems through complex big data analysis. Maintain current in emerging tools ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Futran Tech Solutions Pvt. Ltd.

Sr Bigdata Engineer

$57 - $75.50/hr

... big data that in turn drive their businesses. You will have the opportunity to create high ... Proficient in standard software development, such as version control, testing, and deployment

IT America Inc

Cloud Data Engineer

Dallas, TX · Remote

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Big data technologies on AWS/Azure/GCP * Apache Spark/DataBricks framework (Python/Scala)

Lorven Technologies

Jr Data Engineer

$117K - $140K/yr

Jr Data Engineer Remote Contract We are looking for Data Engineers who are passionate about making ... and big data technologies, including: o Hive o Presto/Trino o Spark • Deep, hands-on experience ...

Sarian, Inc.

Data Architect

$65.25 - $84/hr

Remote - Fulltime Position Must Have Technical/Functional Skills: * Strong expertise in data ... Experience with big data platforms (e.g., Hadoop, Spark, Kafka). * Familiarity with cloud-based ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Stay up-to-date with the latest advancements in data engineering, big data technologies, and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Stay up-to-date with the latest advancements in data engineering, big data technologies, and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Stay up-to-date with the latest advancements in data engineering, big data technologies, and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Stay up-to-date with the latest advancements in data engineering, big data technologies, and ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

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How much do remote big data tester jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote big data tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Big Data Tester jobs? The most popular types of Big Data Tester jobs are:
Remote Big Data Tester jobs near you
Infographic showing various Remote Big Data Tester job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 59% Physical, 1% Hybrid, and 40% Remote job distribution, with an average salary of $98,889 per year, or $47.5 per hour.
Data Scientist, Applied AI - Remote

Data Scientist, Applied AI - Remote

Azumo

Remote

Full-time

PTO

Posted 24 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

Apply