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Data Optimisation Jobs in California (NOW HIRING)

Jobtailor

Software Engineer, Data

Palo Alto, CA · On-site

$140 - $180/hr

Experience optimizing data pipeline performance and cost * Experience with data modeling and ETL processes * Strong understanding of GCP or other hyperscalers, including AWS and Azure * Strong ...

New

Adyen

Optimization Data Analyst

San Francisco, CA · On-site

$132K - $178K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Triwill Group

Optimization Data Analyst

San Francisco, CA · On-site

$132 - $178/hr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Adyen

Optimization Data Analyst

San Francisco, CA

$132K - $178K/yr

As an Optimization Data Analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver ...

Solomon Page

SEO Data Analyst

West Hollywood, CA · On-site

$55/hr

We are hiring an SEO Data Analyst, Streaming to join a top entertainment company in Los Angeles, CA. This freelance role will run until June 2027 and will be fully onsite in their LA office. * Pay ...

Amazon

Data Engineer II, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

This role will be expected to utilize GenAI to build reliable, scalable data pipelines, which produce data optimized for our customers, who will also be utilizing AI Agent pipelines. Key job ...

Tror AI for everyone

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Data partitioning, file size tuning, and optimization strategies for large-scale pipelines. * Experience handling multi-terabyte structured time‑series workloads. * Ability to distill architectural ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

$175K - $263K/yr

Within the Data Operations organization, the Capacity Planning & Analytics team provides ... You will translate behavioral insights and empirical findings into optimized project structures and ...

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All JobsData Optimisation JobsData Optimisation Jobs in California

Data Optimisation information

What is data optimisation?

Data optimisation refers to the process of improving the quality, accessibility, and efficiency of data within an organization. It involves cleaning, structuring, and organizing data so that it can be used more effectively for analysis, decision-making, and business operations. Data optimisation can help reduce storage costs, enhance system performance, and ensure that accurate and relevant data is available when needed. This process often includes data deduplication, compression, and the implementation of best practices for data management.

What are the key skills and qualifications needed to thrive as a data optimisation specialist?

To thrive as a Data Optimisation Specialist, you need strong analytical skills, proficiency in data analysis, and a background in statistics or computer science, often supported by relevant degrees or certifications. Familiarity with data management tools like SQL, Python, Excel, and optimisation platforms such as Google Analytics or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for translating insights into actionable strategies. These skills ensure that data-driven decisions are accurate, impactful, and aligned with business objectives.

What are the most common challenges faced in a data optimisation role, and how can I prepare for them?

One of the main challenges in a Data Optimisation role is dealing with large, complex datasets that may have inconsistencies or missing information. You’ll often need to balance improving data quality with maintaining data integrity and system performance. Collaborating across departments, such as IT, analytics, and business operations, is typical, so strong communication skills are essential. Preparing by learning best practices in data cleaning, ETL processes, and familiarizing yourself with relevant tools will help you succeed and adapt quickly.

What is the difference between Data Optimisation vs Data Analysis?

AspectData OptimisationData Analysis
Primary FocusImproving data processes and system efficiencyInterpreting data to uncover insights
Skills RequiredData management, process improvement, technical skillsStatistical analysis, reporting, critical thinking
Work EnvironmentIT teams, data engineering, system optimizationBusiness units, research teams, analytics departments
CertificationsData management, database certificationsData analysis, statistical certifications

Data Optimisation focuses on enhancing data systems and processes for efficiency, while Data Analysis involves examining data to generate insights. Both roles require strong technical skills, but their objectives differ: one improves data infrastructure, the other interprets data for decision-making.

What are data optimisation jobs?

Data optimisation jobs involve analyzing and improving data quality, structure, and efficiency to support better decision-making and operational performance. These roles often require skills in data analysis, database management, and tools like SQL or data visualization software, with a focus on enhancing data accuracy and accessibility.

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

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

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

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

What cities in California are hiring for Data Optimisation jobs?

Cities in California with the most Data Optimisation job openings:

Data Optimisation jobs near you
Infographic showing various Data Optimisation job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Software Engineer, Data

Jobtailor

Palo Alto, CA • On-site

$140 - $180/hr

Other

Posted 3 days ago

New

Job description

  • Design, develop, and maintain scalable data pipelines using GCP services such as Dataform, BigQuery, and Airflow
  • Optimize data processing and storage for performance and cost efficiency
  • Write comprehensive data quality tests to ensure data reliability
  • Collaborate with data teams to implement complex data models
  • Develop reusable data components and shared libraries
  • Mentor junior engineers and provide constructive code review feedback
  • Contribute to technical documentation and architectural decisions
  • Leverage AI tools and technologies to improve workflows, processes, and efficiency
  • Apply development tools, including AI assistance, to deliver quality code efficiently
Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
  • 4+ years of experience in data engineering
  • Experience with GCP data services, including BigQuery, Dataform, Dataflow, and Pub/Sub
  • Experience setting up CI/CD pipelines for data processing
  • Experience optimizing data pipeline performance and cost
  • Experience with data modeling and ETL processes
  • Strong understanding of GCP or other hyperscalers, including AWS and Azure
  • Strong knowledge of data optimization techniques
  • Programming experience in Python, SQL, or Typescript
  • Strong understanding of how data is applied to solve business problems
Core Competencies

Demonstrates expertise in designing and optimizing scalable data pipelines using GCP services, with a strong focus on data quality, performance, and cost efficiency. Proven ability to mentor junior engineers and contribute to architectural decisions while leveraging AI tools to enhance workflows.

Highest-signal resume keywords
  • GCP Data Services
  • Data Pipeline Optimization
  • Data Modeling
  • Python Programming
  • CI/CD Pipeline Setup
ATS Optimization Keywords Hard Skills
  • Data Engineering
  • Data Quality Testing
  • ETL Processes
  • Data Optimization Techniques
  • SQL Programming
  • Typescript Programming
  • BigQuery
  • Dataform
  • Dataflow
  • Pub/Sub
Soft Skills
  • Mentoring
  • Collaboration
  • Constructive Feedback
  • Technical Documentation
Certifications & Qualifications
  • Bachelor's Degree in Computer Science
  • Bachelor's Degree in Data Science
  • Bachelor's Degree in Engineering
Industry Keywords
  • Data Processing
  • Data Storage
  • Hyperscalers
  • Business Problem Solving
Tools & Technologies
  • Airflow
  • AI Tools
  • Development Tools
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