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Quantitative Data Engineer Jobs in California (NOW HIRING)

WinMax Systems Corporation

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

The engineer must not only be comfortable with large data sets, but also have an ability to ... Bachelor's or Master's degree (CS or quantitative emphasis preferred, some academic experience with ...

GridCARE

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Bachelor's or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field. * Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Bachelor's degree in computer science, Data Engineering, Information Systems, or a related quantitative field. * Job Requirementse design. * Proficiency in SQL for data transformation, validation ...

Bumble Bee Seafoods

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Bachelor's degree in computer science, Data Engineering, Information Systems, or a related quantitative field. * Job Requirementse design. * Proficiency in SQL for data transformation, validation ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

Bachelor's degree in computer science, Data Engineering, Information Systems, or a related quantitative field. * Job Requirementse design. * Proficiency in SQL for data transformation, validation ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Qualifications Master's Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

Qualifications Master's Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Qualifications Masters Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems ...

Apex Informatics

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

At least 5 years' experience using SQL, R or python programming against large relational databases ... quantitative field * Should have experience pulling data for a large LS company - over $20B in ...

WestEd

Quantitative Research Associate

San Francisco, CA · On-site +1

... developers, and technical assistance providers on projects focused on improving teaching and ... Data Collection - establish and maintain data collection and implementation measurement systems to ...

Kikoff

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field * A minimum of 2 years of work experience in data ...

Nuna Inc.

Lead Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Degree in quantitative field (e.g. Data Science, Economics, Statistics, Engineering) • Experience building a data platform from zero to one • Experience working with healthcare data • ...

xAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

They are seeking a Data Engineer to develop systems and processes for data acquisition, preparation ... quantitative analysis to guide technical and product decision, including familiarity of scaling ...

xAI

Data Engineer

Palo Alto, CA

$240K - $280K/yr

As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the ... Strong statistical intuition and the ability to use quantitative analysis to guide technical and ...

Brex

Data Engineer

San Francisco, CA · Hybrid

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ... Exceptional quantitative and analytical skills. * Strong communication skills and ability to ...

xAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the ... Strong statistical intuition and the ability to use quantitative analysis to guide technical and ...

xAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

As a Data Engineer / AI Engineer on xAI's Data team, you will be responsible for developing the ... Strong statistical intuition and the ability to use quantitative analysis to guide technical and ...

Comtech, LLC

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Work closely with our engineering team to integrate and build algorithms * Process unstructured ... Extract data from a variety of relational databases, manipulate, explore data using quantitative ...

Brex

Data Engineer

San Francisco, CA · On-site

$120K - $151K/yr

Data at Brex Our Scientists and Engineers work together to make data - and insights derived from ... Exceptional quantitative and analytical skills. * Strong communication skills and ability to ...

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Quantitative Data Engineer information

What is an example of quantitative?

A quantitative example involves numerical data that can be measured and analyzed statistically. In a Quantitative Data Engineer role, this might include metrics like transaction volumes, data throughput, or statistical summaries used to build data pipelines and models.

What is quantitative vs qualitative?

Quantitative data refers to numerical information that can be measured and analyzed statistically, such as sales figures or sensor readings. Qualitative data involves descriptive, non-numerical information like opinions, interviews, or observations. In data engineering, understanding both types helps in designing systems that process and analyze diverse data sources effectively.

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 does quantitative mean?

In the context of a Quantitative Data Engineer role, 'quantitative' refers to working with numerical data and statistical methods to analyze and model information. This involves skills in mathematics, programming, and data analysis tools to develop algorithms and insights from large datasets.

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.

What are the synonyms of quantitative?

Synonyms of quantitative include numerical, measurable, and statistical. In a data engineering context, these terms relate to data that can be quantified and analyzed using tools like SQL, Python, or R, often involving numerical datasets and statistical methods.

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.

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 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:
Quantitative Data Engineer jobs near you

Data Engineer

WinMax Systems Corporation

Santa Clara, CA • On-site

$134K - $161K/yr

Contractor

Posted 8 days ago

Job description

Job Description

Description/Comment:

The Client Service Curriculum Development team is seeking a detail oriented, technical savvy, professional who likes to think outside the box and has a proven track record of delivering large, complex and scalable reporting solutions.

Description:

Leading the design, development and deployment of data reporting solutions for Client Service Training. This role involves significant interaction with large data sets, querying, modeling, reporting, and presentation development. The engineer must not only be comfortable with large data sets, but also have an ability to communicate findings effectively.

The successful candidate is detail oriented, organized and concise. Acquisition of new concepts comes naturally to this individual whose proven track record includes developing reporting and dashboard solutions using multiple UI and reporting tools .

The Data Engineer will:

Work with the Training Project Management and Leadership team to understand the business and create necessary tables and files for reports

Provide subject matter expertise to support reporting needs for the multiple functional areas

Run ad-hoc report requests and validate results

Developing reporting and dashboard solutions on DW platform using multiple UI and reporting tools

Automate report requests either through scheduling reports or through integration with custom dashboard tool

Key Qualifications

Extensive experience querying, modeling and visualizing data using tools like Tableau, MicroStrategy, SQL, SPSS, and R

High attention to detail, organization, team-orientation and an ability to work under tight deadlines

Excellent verbal, visual, and written communication skills, especially an ability to simplify complex data into actionable insights

Mastery of Keynote and Excel/Numbers (with a preference for Apple OS preferred)

Extensive, demonstrable quantitative experience

Education:

Bachelor's or Master's degree (CS or quantitative emphasis preferred, some academic experience with statistics preferred)

Additional Information

Education: Bachelor's or Master's degree in computer science or equivalent

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