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Data Preprocessing Jobs in California (NOW HIRING)

KLA

Software Engineer - Test Automation

Milpitas, CA · On-site

$52.50 - $69.25/hr

Required : • Proficiency in Python, Java, C++, C#, or R. • Experience with TensorFlow, PyTorch, Keras, or similar. • Strong skills in SQL, NoSQL databases, and data preprocessing. • Solid ...

KLA

Software Engineer - Test Automation

Milpitas, CA · On-site

Required : • Proficiency in Python, Java, C++, C#, or R. • Experience with TensorFlow, PyTorch, Keras, or similar. • Strong skills in SQL, NoSQL databases, and data preprocessing. • Solid ...

Qcells

Applied AI Engineer

Santa Clara, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Qcells

Applied AI Engineer

San Francisco, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Qcells

Applied AI Engineer

Santa Clara, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Capsule.Video Inc

AI Engineer

Los Angeles, CA · On-site

Experience with data preprocessing, feature engineering, and model selection and optimization * Experience building and deploying ML models in production environments * Strong problem-solving and ...

Qcells

Applied AI Engineer

San Francisco, CA

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Qcells

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

Qcells

Applied AI Engineer

Irvine, CA · On-site

$160K - $190K/yr

Understanding of data preprocessing techniques and tools for handling large-scale datasets. Soft Skills & Competencies * Strong analytical and problem-solving skills with a focus on practical ...

NVIDIA

Senior Vision Language Model Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

... data preprocessing, distributed training, evaluation, debugging, and iterative improvement. • Excellent experience with python and at least one deep learning framework. • Current with the latest ...

Apple

ML Platform Engineer

Sunnyvale, CA

$147K - $272K/yr

... scale data collection, curation, preprocessing, and management, and implement on-device ML integration systems that deploy state-of-the-art algorithms to Apple devices. Working closely with ML ...

Adidev Technologies Inc

ML/AI Engineers

Daly City, CA · On-site

Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate ...

Adidev Technologies Inc

ML/AI Engineers

Daly City, CA · On-site

... data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. • Lead cross-functional collaborations to integrate Generative AI models ...

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Data Preprocessing information

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Machine Learning Engineer, and Chief Data Officer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, programming, and leadership, along with extensive experience and relevant certifications.

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

What are the key skills and qualifications needed to thrive as a Data Preprocessing Specialist, and why are they important?

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

Is 40 too late for data science?

Data preprocessing is a key step in data science, and individuals can enter the field at any age. Many data scientists start later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What do you do in data preprocessing?

Data preprocessing involves cleaning and transforming raw data to prepare it for analysis or modeling. This includes tasks such as handling missing values, removing duplicates, normalizing data, and encoding categorical variables, often using tools like Python or R. It is a crucial step to ensure data quality and improve model performance.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role is evolving to include skills in machine learning tools and programming languages like Python or R, but human expertise remains critical for nuanced analysis and contextual understanding.

What are some common challenges faced in a Data Preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.
What are popular job titles related to Data Preprocessing jobs in California? For Data Preprocessing jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Preprocessing jobs in California look for? The top searched job categories for Data Preprocessing jobs in California are:
What cities in California are hiring for Data Preprocessing jobs? Cities in California with the most Data Preprocessing job openings:
Data Preprocessing jobs near you
Infographic showing various Data Preprocessing job openings in California as of June 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution.
Software Engineer - Test Automation

Software Engineer - Test Automation

KLA

Milpitas, CA • On-site

$52.50 - $69.25/hr

Full-time

Posted yesterday

Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are seeking a highly skilled Software Engineer in Test Automation to own end-to-end testing activities, perform automation testing, and lead test planning while collaborating with various teams.
Responsibilities:
• Own end-to-end testing activities for key project features as an individual contributor.
• Perform automation testing together with balanced mix of manual testing as needed for software and hardware-integrated products.
• Lead test planning, test strategy execution, and collaborate with colleagues across engineering, algorithms, systems, hardware, marketing, applications, and manufacturing teams.
• Build systems that involve databases and our in-house automated testing framework.
• Automate the process of extracting test result data from different sources.
• Use intelligent algorithms, e.g. LLM, and business logic to find the root cause of software failures.
• Integrate and transform the scattered data and flat log files into homogeneous format and load them into our database.
• Present them in an actionable manner through Power BI, dashboards, and other reporting and graphing tools.
Qualifications:
Required:
• Proficiency in Python, Java, C++, C#, or R.
• Experience with TensorFlow, PyTorch, Keras, or similar.
• Strong skills in SQL, NoSQL databases, and data preprocessing.
• Solid understanding of algorithms, data structures, machine learning models, and statistical methods.
• Deep understanding in profiling, scaling and tuning of relational (such as SQL Server) and non-relational databases (such as Redis, MongoDB)
• Understand system-level requirements and translate them into good software design
• Strong knowledge in computer architecture, design patterns, UI frameworks, and API design
• Strong communication skills (written and verbal)
Preferred:
• Master's Level Degree and related work experience of 6+ years; Bachelor's Level Degree and related work experience of 8+ years
• Knowledge with technologies like Kafka, Kubernetes, MySQL, Hadoop, BigQuery and other open-source databases
• Experience with Continuous Integration tools and process—Jenkins preferred
• Experience with REST API testing tools and automation frameworks—Postman/RestSharp is a plus
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.

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