Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop ... Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve ...
Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop ... Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve ...
Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop ... Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve ...
Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop ... Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve ...
... a quantitative field with rigorous statistical coursework). • Familiarity with the modern data stack and experience in data engineering. • Background in autonomy or other technologically ...
... a quantitative field with rigorous statistical coursework). • Familiarity with the modern data stack and experience in data engineering. • Background in autonomy or other technologically ...
Business Analyst II - AMZ15546.6
Austin, TX · On-site
$114K - $130K/yr
... intelligence engineering, data engineering, or data mining. Knowledge of data warehouse ... quantitative data in a simple, intuitive format and to present findings in a clear and concise ...
Business Analyst II - AMZ15546.6
Austin, TX · On-site
$114K - $130K/yr
... intelligence engineering, data engineering, or data mining. Knowledge of data warehouse ... quantitative data in a simple, intuitive format and to present findings in a clear and concise ...
The role collaborates with engineering, operations, supply chain, and affordability teams to ... quantitative data interpretation. Qualifications We Prefer * Active and transferrable Top ...
The role collaborates with engineering, operations, supply chain, and affordability teams to ... quantitative data interpretation. Qualifications We Prefer * Active and transferrable Top ...
As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data ...
As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data ...
Quantitative Intern (Summer 2027)
Austin, TX · On-site +1
As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data ...
Quantitative Intern (Summer 2027)
Austin, TX · On-site +1
As a Quantitative Intern at Optiver, you'll work alongside traders, researchers, and engineers to solve complex problems in global financial markets. You'll learn how quantitative research, data ...
... quantitative field with rigorous statistical coursework). * Familiarity with the modern data stack and experience in data engineering. * Background in autonomy or other technologically intensive ...
... quantitative field with rigorous statistical coursework). * Familiarity with the modern data stack and experience in data engineering. * Background in autonomy or other technologically intensive ...
Enterprise Data Analyst
Austin, TX · On-site +1
... of quantitative information and have a passion for high impact data storytelling. Essential ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
Enterprise Data Analyst
Austin, TX · On-site +1
... of quantitative information and have a passion for high impact data storytelling. Essential ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
Enterprise Data Analyst
Austin, TX · On-site +1
... of quantitative information and have a passion for high impact data storytelling. Essential ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
Enterprise Data Analyst
Austin, TX · On-site +1
... of quantitative information and have a passion for high impact data storytelling. Essential ... Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
... engineering, or related fields--ideally within deadline-focused tech environments or consulting * Bachelor's degree in a quantitative discipline such as Computer Science, Data Science, Statistics ...
... engineering, or related fields--ideally within deadline-focused tech environments or consulting * Bachelor's degree in a quantitative discipline such as Computer Science, Data Science, Statistics ...
In this role, you will partner closely with engineering, design, research operations, and study ... data that informs product decisions.","responsibilities":"Design and implement user studies to ...
In this role, you will partner closely with engineering, design, research operations, and study ... data that informs product decisions.","responsibilities":"Design and implement user studies to ...
Senior Mechanical Engineer - Automation Equipment
Austin, TX · On-site
$103K - $136K/yr
Structure and process qualitative or quantitative data and draw insightful conclusions from it ... S. in Mechanical Engineering with a minimum of 7 years' experience with clear experience owning ...
Senior Mechanical Engineer - Automation Equipment
Austin, TX · On-site
$103K - $136K/yr
Structure and process qualitative or quantitative data and draw insightful conclusions from it ... S. in Mechanical Engineering with a minimum of 7 years' experience with clear experience owning ...
Data Scientist, AI/ML Model Quality
$142K - $263K/yr
D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...
Data Scientist, AI/ML Model Quality
$142K - $263K/yr
D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...
... quantitative field with rigorous statistical coursework). * Familiarity with the modern data stack and experience in data engineering. * Background in autonomy or other technologically intensive ...
... quantitative field with rigorous statistical coursework). * Familiarity with the modern data stack and experience in data engineering. * Background in autonomy or other technologically intensive ...
Data Scientist, AI/ML Model Quality
$142K - $263K/yr
D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...
Data Scientist, AI/ML Model Quality
$142K - $263K/yr
D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...
Data Scientist, AI/ML Model Quality
$142K - $263K/yr
D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...
Data Scientist, AI/ML Model Quality
$142K - $263K/yr
D in Machine Learning, Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field is strongly preferred. 3+ years of experience in data science or a closely ...
Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience ...
Minimum Qualifications Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience ...
Senior Mechanical Engineer - Automation Equipment
$103K - $136K/yr
Structure and process qualitative or quantitative data and draw insightful conclusions from it ... S. in Mechanical Engineering with a minimum of 7 years' experience with clear experience owning ...
Senior Mechanical Engineer - Automation Equipment
$103K - $136K/yr
Structure and process qualitative or quantitative data and draw insightful conclusions from it ... S. in Mechanical Engineering with a minimum of 7 years' experience with clear experience owning ...
Lead AI and Data Science Engineer II
Austin, TX · On-site
$101K - $133K/yr
... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...
Lead AI and Data Science Engineer II
Austin, TX · On-site
$101K - $133K/yr
... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...
Quantitative Data Engineer information
See Austin, TX salary details
$10.9K - $27.8K
0% of jobs
$27.8K - $44.6K
0% of jobs
$44.6K - $61.5K
0% of jobs
$61.5K - $78.3K
18% of jobs
$78.3K - $95.2K
0% of jobs
$95.2K - $112K
4% of jobs
$113.5K is the 25th percentile. Wages below this are outliers.
$112K - $128.9K
35% of jobs
$139.5K is the 75th percentile. Wages above this are outliers.
$128.9K - $145.7K
28% of jobs
$145.7K - $162.6K
3% of jobs
$162.6K - $179.4K
4% of jobs
$179.4K - $196.3K
7% of jobs
$10.9K
$128.5K
$196.3K
How much do quantitative data engineer jobs pay per year?
As of Aug 10, 2026, the average yearly pay for quantitative data engineer in Austin, TX is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $137,300.00 per year, depending on experience, location, and employer.
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 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 is the difference between Quantitative Data Engineer vs Data Scientist?
| Aspect | Quantitative Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building data pipelines, data infrastructure, and ensuring data quality | Analyzing data, creating models, and deriving insights |
| Skills & Tools | SQL, Python, Spark, ETL processes, data architecture | Statistics, machine learning, Python/R, data visualization |
| Credentials | Computer science, engineering, or related degrees; certifications in data engineering | Statistics, data science, or related degrees; certifications in data analysis or machine learning |
| Work Environment | Data engineering teams, data infrastructure projects | Data 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 Austin, TX? For Quantitative Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Austin, TX look for? The top searched job categories for Quantitative Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Quantitative Data Engineer jobs? Cities near Austin, TX with the most Quantitative Data Engineer job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 9 days ago
Job description
As a Graduate Quantitative Researcher, you'll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, you'll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities.
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you'll transform insights into solutions that directly influence how we trade.
This opportunity is also available in our Chicago office.
What You'll Do:
Your onboarding
You'll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business.
Your responsibilities
As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:
What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive a full-time offer.
Who You Are:
Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, you'll transform insights into solutions that directly influence how we trade.
This opportunity is also available in our Chicago office.
What You'll Do:
Your onboarding
You'll participate in Global Optiver Academy, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business.
Your responsibilities
As a Quantitative Researcher, you will have the opportunity to contribute to several key areas:
- Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities
- Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance
- Build and test statistical and stochastic models for pricing, forecasting, and risk management
- Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency
What You'll Get:
You'll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, you'll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions.
In addition, you'll receive:
- The opportunity to work alongside best-in-class professionals from over 40 different countries
- Highly competitive compensation package
- Global profit-sharing pool and performance-based bonus structure
- 401(k) match up to 50%
- Comprehensive health, mental, dental, vision, disability, and life coverage
- 25 paid vacation days alongside market holidays
- Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more
What To Expect:
As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, you'll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive a full-time offer.
Who You Are:
- PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements
- Expected to graduate by mid-2027 and available to start full-time employment upon graduation
- Solid foundation in mathematics, probability, and statistics
- Excellent research, analytical, and modeling skills
- Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making
- Proficiency in any programming language
- Strong interest in working in a fast-paced, collaborative environment
- Fluent in English with strong written and verbal communication skills
Who We Are:
Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company.
Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.
Optiver is supportive of US immigration sponsorship for this role.
*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period.