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Handling Large Datasets Jobs (NOW HIRING)

Argyle Infotech

Senior Java Developer

Hopkins, MN · On-site

$58.25 - $74.25/hr

Experience handling large datasets and building scalable distributed systems. * Strong understanding of design patterns (Saga, Secure, Factory, Observer, etc.). * Experience with Message Queues ...

Argyle Infotech

Senior Java Developer

Hopkins, MN · On-site

$58.25 - $74.25/hr

Experience handling large datasets and building scalable distributed systems. * Strong understanding of design patterns (Saga, Secure, Factory, Observer, etc.). * Experience with Message Queues ...

Nvidia

Senior Methodology Software Engineer

Santa Clara, CA

$143K - $189K/yr

Background with handling large datasets and parallel processing in Python * Self motivated, and able to switch between multiple projects NVIDIA is a pioneer in bringing groundbreaking technology to ...

Nvidia

Senior Methodology Software Engineer

Santa Clara, CA

$143K - $189K/yr

Background with handling large datasets and parallel processing in Python * Self motivated, and able to switch between multiple projects NVIDIA is a pioneer in bringing groundbreaking technology to ...

Point72

Quantitative Researcher

New York, NY · On-site

Technically comfortable handling large datasets * Comfortable coding in both C++ and Python in a Linux environment * Exposure working with cloud computing platforms such as AWS * Highly motivated and ...

Point72

Quantitative Researcher

Manhattan, NY · On-site

Technically comfortable handling large datasets * Comfortable coding in both C++ and Python in a Linux environment * Exposure working with cloud computing platforms such as AWS * Highly motivated and ...

Point72

Quantitative Researcher

New York, NY

Technically comfortable handling large datasets * Comfortable coding in both C++ and Python in a Linux environment * Exposure working with cloud computing platforms such as AWS * Highly motivated and ...

Aisle8

Senior Full Stack Developer

San Francisco, CA · On-site +1

... for handling large volumes of logistics data Build real-time dashboards that visualize carbon ... datasets Knowledge of cloud infrastructure (AWS, GCP, or Azure) and serverless architectures ...

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Handling Large Datasets information

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$49K

$203.5K

$400K

How much do handling large datasets jobs pay per year?

As of Jun 7, 2026, the average yearly pay for handling large datasets in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What is the difference between Handling Large Datasets vs Data Analyst?

AspectHandling Large DatasetsData Analyst
Required SkillsData management, database querying, programming (SQL, Python)Data interpretation, statistical analysis, visualization
Work EnvironmentData warehouses, cloud platforms, large-scale databasesBusiness environments, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-intensive sectorMarketing, finance, operations, business intelligence

Handling Large Datasets focuses on managing and processing vast amounts of data using technical tools and programming. Data Analysts interpret and visualize data to support decision-making. While both roles work with data, Handling Large Datasets emphasizes data infrastructure and technical skills, whereas Data Analysts focus on analysis and insights.

Infographic showing various Handling Large Datasets job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $203,468 per year, or $97.8 per hour.

Senior Java Developer

Argyle Infotech

Hopkins, MN • On-site

$58.25 - $74.25/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Senior Java Developer

We are seeking an experienced Senior Java Developer to join our clients team in Hopkins, MN. The ideal candidate will have strong expertise in Java 17, experience designing and developing large-scale enterprise applications, and a solid understanding of design patterns such as Saga and Secure patterns for data integrity and reliability.

Key Responsibilities

  • Design, develop, and maintain high-performance applications using Java 17.
  • Work with large volumes of structured and unstructured data, ensuring scalability and reliability.
  • Implement and apply advanced design patterns (e.g., Saga, Secure, Factory, Singleton, etc.) to support complex business processes.
  • Collaborate with cross-functional teams to define, design, and deliver robust backend solutions.
  • Ensure code quality through unit testing, integration testing, and best coding practices.
  • Participate in architectural discussions, performance tuning, and optimization.
  • Troubleshoot and resolve application performance issues and production defects.

Required Skills & Experience

  • 7+ years of hands-on Java development experience.
  • Proficiency in Java 17, Spring Boot, RESTful APIs, and Microservices architecture.
  • Experience handling large datasets and building scalable distributed systems.
  • Strong understanding of design patterns (Saga, Secure, Factory, Observer, etc.).
  • Experience with Message Queues (Kafka/RabbitMQ) and asynchronous processing.
  • Proficiency in SQL/NoSQL databases and data modeling.
  • Experience with CI/CD pipelines, Git, and cloud environments (AWS/GCP/Azure).
  • Excellent problem-solving and communication skills.

Nice to Have

  • Experience with event-driven architecture or domain-driven design (DDD).
  • Familiarity with containerization (Docker, Kubernetes).
  • Knowledge of security best practices in application development.

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