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Quant Developer Jobs in Dallas, TX (NOW HIRING)

Tata Consultancy Service Limited

ETL Developer

Plano, TX · On-site

$80K - $140K/yr

Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 1013 years of ... Collaboration, Leadership & Delivery • Collaborate closely with quants, product owners ...

Capital One

Sr. Business Analyst

Plano, TX

$88K - $114K/yr

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Capital One

Business Manager

Plano, TX

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Capital One

Business Manager

Plano, TX · On-site

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Capital One

Sr. Business Analyst

Plano, TX · On-site

$88K - $114K/yr

A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software ...

Amrize

Electrical Engineer I

Midlothian, TX · On-site

... quantitative data, its' organization and analysis using a variety of traditional as well as ... The electrical engineer shall assess the condition of the process and machinery accurately, assess ...

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Showing results 41-60

All JobsQuant Developer JobsQuant Developer Jobs in Dallas, TX

Quant Developer information

See Dallas, TX salary details

$96.9K

$167.9K

$256.7K

How much do quant developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for quant developer in Dallas, TX is $167,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,100.00 and $196,900.00 per year, depending on experience, location, and employer.

What is a quant developer?

A Quant Developer (Quantitative Developer) is a software engineer who builds and maintains financial models, trading systems, and analytical tools for quantitative analysts and traders. They use programming languages like Python, C++, or Java to develop algorithms that automate trading strategies, risk analysis, and data processing. Quant Developers typically work in hedge funds, investment banks, or proprietary trading firms, collaborating with quants and portfolio managers to optimize trading performance. Strong mathematical skills, proficiency in financial markets, and expertise in software development are essential for this role.

What are some typical challenges quant developers face in their daily work?

Quant developers often work with large, complex datasets and real-time data streams, which can present technical challenges related to performance, accuracy, and scalability. They may need to continuously adapt to changing market requirements or new financial regulations, requiring staying up to date and learning new tools or methods. Collaboration with quants, traders, and other stakeholders is common, so balancing technical problem-solving with effective communication is also important. These challenges make the role both demanding and intellectually rewarding for those passionate about technology and finance.

What are the key skills and qualifications needed to thrive as a quant developer?

To thrive as a Quant Developer, you need advanced programming skills (often in Python, C++, or Java), a strong foundation in mathematics or statistics, and a relevant degree such as in computer science, engineering, or quantitative finance. Expertise in numerical libraries, version control systems like Git, and familiarity with financial modeling tools or industry data feeds is highly valuable. Collaboration, strong analytical thinking, and the ability to communicate complex concepts clearly are critical soft skills for this role. These capabilities are essential for designing robust quantitative models and working effectively with cross-functional teams in fast-paced financial environments.

What are the most commonly searched types of Quant Developer jobs in Dallas, TX?

The most popular types of Quant Developer jobs in Dallas, TX are:

What are popular job titles related to Quant Developer jobs in Dallas, TX?

For Quant Developer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Quant Developer jobs in Dallas, TX look for?

The top searched job categories for Quant Developer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Quant Developer jobs?

Cities near Dallas, TX with the most Quant Developer job openings:

Quant Developer jobs near you
Infographic showing various Quant Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $167,901 per year, or $80.7 per hour.

ETL Developer

Tata Consultancy Service Limited

Plano, TX • On-site

$80K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Must Have Technical/Functional Skills
Primary skills: PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
Experience: Minimum 10+ years
Roles & Responsibilities
Seeking a Senior Big Data Engineer with 1013 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the banks mission-critical global markets functions.
Key Responsibilities:
Big Data Platform Engineering
• Design, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.
• Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.
• Develop, tune, and manage Hadoop ecosystem componentsHDFS, YARN, MapReduce, Tez, Oozie/Airflow.
• Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.
Databricks Lakehouse & Delta Framework
• Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.
• Apply Delta Lake best practices including:
o optimized file management
o Z-Ordering
o Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling
• Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.
• Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.
Collaboration, Leadership & Delivery
• Collaborate closely with quants, product owners, architects, risk tech, and business users.
• Participate in agile ceremonies sprint planning, refinement, design reviews.
• Mentor junior engineers and contribute to building strong engineering practices across tech teams.
Required Skills & Experience
• 1013 years of hands-on experience in Big Data engineering.
• Expert skills in:
o PySpark dataframe optimizations, partitioning, broadcast strategies, distributed computing.
o Kafka producer/consumer design, schema registry, streaming ETLs.
o Hadoop ecosystem HDFS, YARN, MapReduce/Tez, Oozie/Airflow.
o Hive advanced query tuning, TEZ optimization, partition/bucket management.
• Extensive hands-on experience with Databricks Lakehouse, including:
o Bronze/Silver/Gold layer modeling
o Delta Lake optimizations
o Data quality frameworks on Lakehouse
o Structured & unstructured data handling
• Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.
• Strong SQL knowledge with experience working on massive datasets (TB/PB scale).
Experience with CI/CD practices Git, Jenkins, Bitbucket, build pipelines.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $80,000- 140,000 a year

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