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Data Manipulation Jobs in California (NOW HIRING)

Unchain Data

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

Strong SQL and Python scripting skills for data manipulation and analysis * Expert at data debugging and ensuring data correctness with a proactive approach to data health * Experience with dashboard ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $146K/yr

... manipulation and visualization tools to effectively convey status and historical trends to leadership, users, and data team. • Collaborate with platform, software, and other data engineers to (re ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Fluent in SQL, data manipulation, and trend analysis in an OLAP environment * Ability to solve problems thoroughly, quickly and creatively with an eye for detail * Hands-on experience in all aspects ...

IT CURA Inc.

Data Analyst

Pasadena, CA · On-site

Fluent in SQL, data manipulation, and trend analysis in an OLAP environment * Ability to solve problems thoroughly, quickly and creatively with an eye for detail * Hands-on experience in all aspects ...

E-Solutions, Inc.

Data Engineer - AI/ML

San Jose, CA · On-site

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 Models ...

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner. Experience with cloud computing and Hadoop (MapReduce ...

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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.

Senior Data Analyst

Unchain Data

San Francisco, CA • On-site

$80 - $120/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Us

Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing.

The Role

We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with leadership to define, build, and deliver the critical metrics that drive business decisions across the company. You'll bridge the gap between our highly technical AI infrastructure and business needs, transforming complex data into actionable insights.

As a data-heavy compute marketplace business, we need someone who can understand the nuances of our marketplace, work independently to produce accurate metrics, and communicate insights clearly to stakeholders. You'll have the opportunity to shape our data analytics function from the ground up, with a clear path to growing into a leadership role as the team expands.

Requirements
  • 4-8 years of experience in data analytics, preferably at a technical startup with a small analytics team where you had significant ownership
  • Strong SQL and Python scripting skills for data manipulation and analysis
  • Expert at data debugging and ensuring data correctness with a proactive approach to data health
  • Experience with dashboard development and business intelligence tools (Hex, Metabase, PostHog, or similar)
  • Exceptional attention to detail with consistent review and improvement of data systems
  • Strong communication and collaboration skills with the ability to articulate complex data insights to leadership
  • Experience working with highly technical teams and understanding technical business models
  • Proactive in seeking clarification when needed and comfortable navigating ambiguity
  • Ability to accept direct feedback and continuously improve
Nice to Have
  • Experience in GPU compute infrastructure or cloud computing space
  • Background in AI infrastructure or related technical domains
  • Data engineering skills or familiarity with data pipeline development
  • Experience at high-growth, early stage, technical companies
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