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Handling Large Datasets Jobs (NOW HIRING)

Acro Service Corp.

Data Administrator

Las Vegas, NV

Proficiency in Excel, data analysis, and handling large datasets * Familiarity with SQL, reporting tools, or data query tools (strongly preferred) * Experience reviewing system logs, audit trails, or ...

Point72

Fund Flow Quantitative Researcher

New York, NY · On-site

Technically comfortable handling large datasets stored in AWS using Python * Collaborative mindset * Passion for research and financial markets * Intellectual curiosity, exceptional attention to ...

Sarian, Inc.

Tableau Developer

New York, NY · On-site

... handling large datasets. • Expertise in data validation and ensuring high data quality. • Strong documentation skills to maintain clear and structured reports. • Excellent presentation and ...

4pconsultinginc

Data Analyst II

Forest Park, GA · On-site

Experience handling large datasets; familiarity with big data, data modeling, and data management technologies . * Proficiency with Microsoft Office (Word, Excel, PowerPoint). * Exposure to utility ...

CAPITEX

AML Analytics Consultant

New York, NY · Remote

Strong SQL skills and experience handling large datasets across multiple systems. * Proficiency in tools such as Python, R, SAS, or similar (desirable but not required). * Experience with transaction ...

Capitex

AML Analytics Consultant

New York, NY · On-site +1

Strong SQL skills and experience handling large datasets across multiple systems. * Proficiency in tools such as Python, R, SAS, or similar (desirable but not required). * Experience with transaction ...

Capitex

AML Analytics Consultant

New York, NY · Hybrid

Strong SQL skills and experience handling large datasets across multiple systems. * Proficiency in tools such as Python, R, SAS, or similar (desirable but not required). * Experience with transaction ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

Experience with databases (SQL) and handling large datasets efficiently * Familiarity with real-time data systems and tick-level data processing * Familiarity with statistical and machine learning ...

Sunrise Systems, Inc.

Electrical Engineer

San Ramon, CA · Hybrid

$70 - $73/hr

Experience handling large datasets and improving prediction accuracy * Strong collaboration skills with engineering and field operations teams * Excellent investigative and analytical skills ...

Superbeo

Field Incident Associate

Cupertino, CA · On-site

Experience in handling large datasets * Experience with tools such as Atlassian, Keynote, and Tableau is preferred * Strong organizational skills and attention to detail where precision and accuracy ...

Tror AI for everyone

Talend Admin

Charlotte, NC · On-site

... Handling large datasets, file processing, API integrations Integrate Talend with Cloud platforms - AWS, Azure, GCP Work with Data Lakes, Warehouses, APIs, Kafka, Snowflake Implement CI/CD pipelines ...

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All JobsHandling Large Datasets Jobs

Handling Large Datasets information

See salary details

$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.
Applications Engineer (ML/Auto Defect Classification)

Applications Engineer (ML/Auto Defect Classification)

PDF Solutions

Milpitas, CA

$130K - $160K/yr

Full-time

Posted 9 days ago

Job description

Overview

 Role Summary

We are seeking a Senior Applications Engineer to join our team, focusing on the development of cutting-edge machine learning and artificial intelligence solutions for the semiconductor industry. The ideal candidate will have extensive experience in creating robust and scalable software, with a strong background in data analysis, machine learning, and containerization technologies.


Responsibilities
  • Design and Implement ML/AI Algorithms: Help develop and implement advanced machine learning and AI-based algorithms for the automatic classification of defects in semiconductor inspection tools.
  • Data Analysis: Analyze large volumes of defect data to identify critical patterns, trends, and anomalies, using this analysis to inform model development.
  • Training and Model Development: Train, validate, and deploy defect classification models, ensuring they meet strict performance and accuracy requirements.
  • System Optimization: Continuously improves the accuracy, efficiency, and reliability of the defect classification system through iterative development and optimization.

Qualifications
    • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Materials Science, or a related technical field.
    • Machine Learning Expertise: Proficiency in Python and deep learning frameworks such as TensorFlow,  PyTorch specifically for computer vision tasks (CNNs, Transformers).
    • Semiconductor Knowledge: Familiarity with semiconductor manufacturing processes or inspection metrology is highly preferred.
    • Data Proficiency: Experience handling large datasets and using tools like Pandas, NumPy and SQL for data preprocessing and feature engineering.
    • Problem Solving: Strong analytical mindset with the ability to translate complex manufacturing defects into actionable data models, data ingestion, analysis, and visualization.

Preferred Skills

    • Experience with Mismatched Data or Active Learning techniques to handle rare defect types.
    • Knowledge of ML Ops tools (ML Flow, zen Flow etc.) for model deployment and monitoring in a production environment.
    • Excellent communication skills to collaborate with cross-functional hardware and software teams.

Pay Range
USD $130,000.00 - USD $160,000.00 /Yr.Qualifications:
    • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Materials Science, or a related technical field.
    • Machine Learning Expertise: Proficiency in Python and deep learning frameworks such as TensorFlow,  PyTorch specifically for computer vision tasks (CNNs, Transformers).
    • Semiconductor Knowledge: Familiarity with semiconductor manufacturing processes or inspection metrology is highly preferred.
    • Data Proficiency: Experience handling large datasets and using tools like Pandas, NumPy and SQL for data preprocessing and feature engineering.
    • Problem Solving: Strong analytical mindset with the ability to translate complex manufacturing defects into actionable data models, data ingestion, analysis, and visualization.

Preferred Skills

    • Experience with Mismatched Data or Active Learning techniques to handle rare defect types.
    • Knowledge of ML Ops tools (ML Flow, zen Flow etc.) for model deployment and monitoring in a production environment.
    • Excellent communication skills to collaborate with cross-functional hardware and software teams.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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