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Data Manipulation Jobs in California (NOW HIRING)

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience with dbt, AWS Glue, or similar data transformation and pipeline tools. * Experience building and ...

Hayden AI

Associate Data Scientist

San Francisco, CA

$69K - $70K/yr

Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience with dbt, AWS Glue, or similar data transformation and pipeline tools. * Experience building and ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$110 - $160/hr

Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy). * Experience with dbt, AWS Glue, or similar data transformation and pipeline tools. * Experience building and ...

Vings Technologies

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis. · Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language ...

Vings Technologies

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Advanced proficiency in SQL for complex data manipulation, aggregation, and analysis. · Generative AI: Demonstrable, hands-on experience in prompt engineering and/or fine-tuning Large Language ...

TSMC

Senior Data Engineer / Data Curator

San Jose, CA · On-site

$124K - $168K/yr

... data manipulation and querying. • Familiarity with cloud-based data storage (AWS S3, Google Cloud Storage, etc.) and distributed systems for managing large datasets. • Experience with data ...

Northrop Grumman

Principal Data Scientist

Palmdale, CA · On-site

$125K - $187K/yr

Write and deploy advanced Python scripts using Airflow for data manipulation, analysis, and process automation. Collaborative Development & Agile: Utilize Gitlab for version control, code reviews ...

Aquent

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

Strong proficiency in SQL for complex querying, data manipulation, and in-depth analysis. * Demonstrated experience with data visualization tools such as Looker, Tableau, or Power BI. * Proven ...

Uber Technologies, Inc.

Scientist II, Tech

Sunnyvale, CA · On-site +1

Data manipulation and data visualization, ability to handle large-scale and unstructured data, experienced in data manipulation and transformation, generate informative data visualization to uncover ...

Goodwill

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

Working proficiency in Python for data manipulation and analysis (e.g., pandas, NumPy). * Hands-on experience designing or maintaining data pipelines in Azure Data Factory (or a comparable ETL/ELT ...

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Data Manipulation information

What is a data manipulation?

A Data Manipulation job involves processing, organizing, and transforming raw data to make it more usable for analysis and decision-making. Professionals in this role use tools like SQL, Python, or Excel to clean, structure, and modify data. Their tasks may include merging datasets, removing duplicates, correcting errors, and optimizing data storage. This role is critical in industries that rely on accurate and well-structured data for reporting, analytics, and business intelligence.

What does a data manipulation do?

In a Data Manipulation role, you can expect to spend your days cleaning, transforming, and organizing raw data to ensure its accuracy and usability for reporting or analysis. Responsibilities often include writing scripts to automate data workflows, identifying and correcting inconsistencies, integrating data from multiple sources, and collaborating closely with data analysts and business teams. You may also be tasked with creating documentation to track data changes and establishing protocols for data quality assurance. This hands-on work is crucial for delivering high-quality, actionable data that supports organizational objectives.

What are the key skills and qualifications needed to thrive in data manipulation, and why are they important?

To excel in Data Manipulation roles, candidates generally need strong analytical skills, proficiency in data processing, and a relevant degree in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms, along with certifications like Microsoft Certified: Data Analyst Associate, are frequently expected. Attention to detail, problem-solving abilities, and effective teamwork are key soft skills that enhance performance in this position. These combined competencies ensure clean, reliable datasets that drive accurate business insights and data-driven decision-making.

What are popular job titles related to Data Manipulation jobs in California?

For Data Manipulation jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Manipulation jobs in California look for?

The top searched job categories for Data Manipulation jobs in California are:

Data Manipulation jobs near you
Infographic showing various Data Manipulation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist - Fraud Detection

DataVisor

Mountain View, CA • On-site

Full-time

Medical, PTO

Posted 10 days ago

Job description

About DataVisor:
DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview:
We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilities:
  • Develop and deploy machine learning models for fraud detection and risk assessment.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.
  • Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).
  • Collaborate with engineering and business teams to integrate ML models into production systems.
  • Continuously monitor model performance and refine algorithms to improve accuracy.
  • Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.

Requirements
  • Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus.
  • Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).
  • Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).
  • Experience with SQL and data manipulation/analysis in large datasets.
  • Strong problem-solving skills and patience for deep-dive data exploration.
  • Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.
  • Excellent communication skills and ability to work in a collaborative environment.

Nice to have
  • Familiarity with big data tools (Spark, Hadoop, Dask).
  • Knowledge of graph-based fraud detection techniques.
  • Experience with cloud platforms (AWS, GCP, Azure).

Benefits
PTO, Stock Option, Health Benefits

Apply