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Data Manipulation Jobs in California (NOW HIRING)

Trice Healthcare

Data Entry Operator I

Los Angeles, CA · On-site

... manipulation processing (i.e., excel formulas and functions, or SQL scripting) to prepare data for batching, validation, and reconciliation. • Researches, prepares, and updates the findings from ...

CYNET SYSTEMS

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Strong command of languages like Python, R, and SQL for data manipulation and model development. * Strong verbal and written communication skills. Responsibilities: * Leads development of high ...

SP Software Solutions

Big Data Engineer

Mountain View, CA

$65.75 - $87/hr

Expert on SQL skills for data manipulation (DML) and validation (SQL Server, DB2, Oracle). Expertise in Object Oriented Programming Language - Java / Python. Experience using CI/CD Process, version ...

Akraya Inc.

Sr. Data Scientist : 26-02167

San Diego, CA · On-site

$75 - $85/hr

Proficiency in SQL and Python for data manipulation and analysis. * Experience designing and interpreting A/B tests. * Skill in data visualization tools like Tableau. Experience in a SaaS product ...

Jobtailor

Senior Data Scientist, Core

San Francisco, CA · On-site

$150 - $210/hr

Data Manipulation Soft Skills * Excellent Communication * Team Player * Attention to Detail * Skepticism * Results-Oriented Industry Keywords * Data-Driven Environment * Web-Scale Data * Cross ...

SP Software Solutions

Big Data Engineer

Mountain View, CA · On-site

$65.75 - $87/hr

... data manipulation (DML) and validation (SQL Server, DB2, Oracle). • Expertise in Object Oriented Programming Language - Java / Python. • Experience using CI/CD Process, version control and bug ...

SAIC

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

Employ a variety of data manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team. * Collaborate with platform, software, and other ...

FieldAI

Humanoid Engineer, Manipulation

Irvine, CA · On-site

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... The Humanoid Engineer, Manipulation will develop, integrate, test, and improve manipulation ...

Booz Allen Hamilton

Data Visualization Engineer

Monterey, CA · On-site

$126K - $152K/yr

... SQL, for data manipulation and analysis • Experience working in Foundry, including building or maintaining data pipelines with Code Repository • Knowledge of database-driven application ...

AppLovin

Measurement Data Scientist

Palo Alto, CA · On-site

Strong SQL skills and experience with large-scale data manipulation. * Thorough understanding of data structures. * Proficiency with Python for data analysis (pandas, numpy, sklearn, matplotlib)

New

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 ...

ERM

Data Specialist (Field Based)

San Jose, CA · On-site

... data manipulation; familiarity with version control is a plus. • Experience preparing datasets for dashboards using Power BI or Tableau. • Exposure to cloud platforms such as Azure, AWS, or ...

Suncap Technology

Required Skills

Mountain View, CA · On-site

Experience with Data Manipulation using Python/Pyspark * Experience with Jupyter/COLAB using Python libraries such as Pandas, Sklearn, NLTK, Gensim * Interested in Text analytics, Natural Language ...

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All JobsData Manipulation JobsData Manipulation Jobs in California

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, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 19 days ago

Job description

Staff Fraud & Risk Analyst Fintech & Data Insights

As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
  • Build intuitive dashboards and visualizations that guide strategic and operational decisions.
  • Design and interpret A/B tests to optimize product performance and risk strategies.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
  • Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
  • Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Maintain clean, reliable data pipelines and address data quality issues proactively.
Qualifications:
  • 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling

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