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Data Optimization Jobs in California (NOW HIRING)

Databricks

Systems PhD - Software Engineer

Mountain View, CA · On-site

$205K - $244K/yr

Responsibilities : • Query compilation & optimization • Distributed query execution and scheduling • Vectorized engine execution • Data security • Resource Management • Transaction ...

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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 ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are the most commonly searched types of Data Optimization jobs in California? The most popular types of Data Optimization jobs in California are:
What are popular job titles related to Data Optimization jobs in California? For Data Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Optimization jobs in California look for? The top searched job categories for Data Optimization jobs in California are:
What cities in California are hiring for Data Optimization jobs? Cities in California with the most Data Optimization job openings:
Data Optimization jobs near you
Infographic showing various Data Optimization job openings in California as of June 2026, with employment types broken down into 85% Full Time, and 15% Temporary. Highlights an 86% In-person, and 14% Remote job distribution.
Systems PhD - Software Engineer

Systems PhD - Software Engineer

Databricks

Mountain View, CA • On-site

$205K - $244K/yr

Full-time

Posted 5 days ago

Job description

Job Summary:
Databricks is a leading data and AI company that simplifies the entire data lifecycle through a unified platform. They are seeking a Systems PhD - Software Engineer to join their Database Engine Team, where the role involves designing and implementing advanced database and storage systems, focusing on areas such as query optimization, distributed execution, and data security.
Responsibilities:
• Query compilation & optimization
• Distributed query execution and scheduling
• Vectorized engine execution
• Data security
• Resource Management
• Transaction coordination
• Efficient storage structures (encoding, indexes)
• Automatic physical data optimization
Qualifications:
Required:
• PhD in databases or systems
• A passion for database systems, storage systems, distributed systems, language design, and/or performance optimization
• Motivated by delivering customer value and impact
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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