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Data Manipulation Jobs in California (NOW HIRING)

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

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 ...

Fabergent

Sr Data Scientist

San Ramon, CA

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 ...

Mayvin

Data Scientist III

San Diego, CA · On-site

$125K - $207K/yr

Experience using spreadsheets for data manipulation and visualization * Relevant certifications (e.g., CompTIA Cloud Essentials, CCSK, EMCDSA, Cloudera CCDH/CCP, CISSP, Microsoft certifications, CCAH ...

Mayvin, Inc

Data Scientist III

San Diego, CA

Experience using spreadsheets for data manipulation and visualization * Relevant certifications (e.g., CompTIA Cloud Essentials, CCSK, EMCDSA, Cloudera CCDH/CCP, CISSP, Microsoft certifications, CCAH ...

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 ...

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Data Manipulation information

What are the key skills and qualifications needed to thrive in the Data Manipulation position, 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 some typical daily tasks involved in a Data Manipulation role?

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 is a Data Manipulation job?

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 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 July 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 80% In-person, 9% Hybrid, and 11% Remote job distribution.
Data Ops Engineer

Data Ops Engineer

Xenith Solutions

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Posted 14 days ago

Job description

Job Summary:
Xenith Solutions is a small family-focused business dedicated to serving Federal, Civilian, Defense, and Intelligence organizations. They are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines, ensuring reliable data flow and quality while collaborating with various engineering teams.
Responsibilities:
• We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide range of sources into our data platform, ensuring data quality, observability, and scalability. You'll partner closely with data engineers, platform engineers, and analytics teams to deliver trustworthy, low-latency data that supports operational decisions. This position is on-site in San Diego, CA.
• Aid the team in delivering continual data feeds to users and monitoring the status of the health of data quality and overall data ingest.
• Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.
• 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 data engineers to (re)configure data ingestion pipelines to be more reliable.
• Work with data in a variety of formats including Excel, CSV, JSON, and XML.
• Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and prevent repeated occurrences of data outages.
• Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues. Process learnings and rely on historical data from data pipelines, translating them into actionable steps to improve data ingest.
• Partner with security and governance teams to enforce encryption, authentication authorization, and data classification.
• Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
Qualifications:
Required:
• U.S. citizenship and an active TS/SCI
• Bachelor of Science required in the following preferred fields: Computer Science, Mathematics, EE, Physics, Information Systems, or Information Technology.
• 3+ years of experience in data engineering, data operations, or DevOps roles supporting production data pipelines.
• Demonstrate proficiency with frequent-used scripting language (Python, bash) commonly used in data science applications and data analytics.
• Build resilient pipelines with appropriate backpressure, prioritization, retries, and error-handling strategies.
• 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 data engineers to (re)configure data ingestion pipelines to be more reliable.
• Work with data in a variety of formats including Excel, CSV, JSON, and XML.
• Support the incident management process to ensure that incidents are documented and resolved quickly.
• Perform root cause analysis to understand and prevent repeated occurrences of data outages.
• Develop and maintain software to automate monitoring of real-time feeds and alert for timeliness, volume, lineage, and distribution data issues.
• Partner with security and governance teams to enforce encryption, authentication authorization, and data classification.
Preferred:
• Tools: NiFi, Kafka, Grafana, Prometheus, Apache Flink/Spark Streaming, Snowflake, Elasticsearch, Kafka, MQTT, JMS
• Operating Systems: Windows, Linux (RedHat)
Company:
Xenith Solutions provides information technology solutions and support. Founded in 2019, the company is headquartered in Reston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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