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Quantitative Data Engineer Jobs in California (NOW HIRING)

As a Growth Data Scientist, you will be the quantitative partner to Growth Product, Engineering, Design, and Product Marketing. You'll turn ambiguous growth opportunities into measurable product bets ...

As a Growth Data Scientist, you will be the quantitative partner to Growth Product, Engineering, Design, and Product Marketing. You'll turn ambiguous growth opportunities into measurable product bets ...

Data Engineer III

Irvine, CA · On-site

$119K - $160K/yr

Analyze data to discover and interpret trends, patterns, and relationships * Responsible for the ... Highly analytical and quantitative, with strong attention to detail * Self-starter with excellent ...

Data Engineer with Java & Scala

San Jose, CA · On-site

$134K - $161K/yr

Work closely with our engineering team to integrate and build algorithms Process unstructured data ... using quantitative, statistical and visualization tools Inform the selection of appropriate ...

Data Engineer III

Irvine, CA · On-site

$119K - $160K/yr

Analyze data to discover and interpret trends, patterns, and relationships * Responsible for the ... Highly analytical and quantitative, with strong attention to detail * Self-starter with excellent ...

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master's Degree preferred Footer Intuit provides a competitive ...

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master's Degree preferred Footer Intuit provides a competitive ...

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master's Degree preferred Footer Intuit provides a competitive ...

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master's Degree preferred Footer Intuit provides a competitive ...

Bachelor's degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field; Master's Degree preferred Footer Intuit provides a competitive ...

You'll help build data pipelines, implement models and ensure results are clean, reproducible and ... and engineering leadership to turn large‑scale data and quantitative research into models ...

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

You'll help build data pipelines, implement models and ensure results are clean, reproducible and ... O and engineering leadership to turn large-scale data and quantitative research into models ...

As a Growth Data Scientist, you will be the quantitative partner to Growth Product, Engineering, Design, and Product Marketing. You'll turn ambiguous growth opportunities into measurable product bets ...

New

As a Growth Data Scientist, you will be the quantitative partner to Growth Product, Engineering, Design, and Product Marketing. You'll turn ambiguous growth opportunities into measurable product bets ...

New

As a Growth Data Scientist, you will be the quantitative partner to Growth Product, Engineering, Design, and Product Marketing. You'll turn ambiguous growth opportunities into measurable product bets ...

Showing results 41-60

Quantitative Data Engineer information

What is a quantitative data engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

How does a quantitative data engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.

What are the key skills and qualifications needed to thrive as a quantitative data engineer, and why are they important?

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

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

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

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

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

What cities in California are hiring for Quantitative Data Engineer jobs?

Cities in California with the most Quantitative Data Engineer job openings:

Business Intelligence Data Engineer

Quality Custom Distribution

Irvine, CA • On-site

Full-time

Re-posted 12 days ago


Quality Custom Distribution rating

7.0

Company rating: 7.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. The Data Engineer will be responsible for the full cycle of data warehouse development, including analyzing business requirements, designing ETL processes, and providing production support for data visualization tools.
Responsibilities:
• Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
• Map source system data to data warehouse tables
• Develop and perform tests and validate all data flows and prepare all ETL/ELT processes according to business requirements and incorporate all business requirements into all design specifications.
• Define and capture metadata and rules associated with ETL processes
• Adapt ETL processes to accommodate changes in source systems and new business user requirements
• Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
• Provide support and maintenance on ETL processes and documentation
• Build partnerships across the application, business, and infrastructure teams
• Strive to continuously improve the software delivery processes and practices
• Champion company standards and best practices
• Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA)
• Other responsibilities and accountabilities may be assigned based on business and organization needs.
Qualifications:
Required:
• Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience.
• Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
• Strong proficiency in SQL
• Expert in ETL tools such Matillion, Informatica, SSIS, ODI etc. as and/or other data manipulation languages such as Python, SAS and R.
• Creative in finding new solutions and designing innovative methods, systems and processes
• Desire to create and build new predictive/optimization tools for structuring datasets
• Extensive experience Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.
Preferred:
• Experience with AWS such as Redshift, EC2, S3, Pythons
• Strong analytic skills for working with structured and/or unstructured datasets
• Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
• Experience with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.
Company:
Quality Custom Distribution is one of the largest diversified suppliers to the Quick Service Restaurant industry throughout the US. Founded in 2006, the company is headquartered in Frisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What Quality Custom Distribution employees say

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