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Market Data Engineer Jobs in Texas (NOW HIRING)

Pricing Data Engineer

Austin, TX ยท On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Base pay is based on market location and may vary depending on job-related knowledge, skills ...

Pricing Data Engineer

Dallas, TX ยท On-site

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Base pay is based on market location and may vary depending on job-related knowledge, skills ...

Manager, Data Engineer - Databricks

Dallas, TX ยท On-site

$113K - $136K/yr

In this ever-changing market environment, our professionals must be adaptable and thrive in a ... KPMG is currently seeking a Manager, Data Engineer - Databricks for our Consulting practice.

Senior Data Engineer

Dallas, TX ยท On-site

$104K - $142K/yr

Our business value and leadership has been recognized by various market research firms, including ... Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large ...

Senior Data Engineer

Dallas, TX

$104K - $142K/yr

Our business value and leadership has been recognized by various market research firms, including ... Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large ...

Senior Data Engineer

Dallas, TX ยท On-site

$104K - $142K/yr

Our business value and leadership has been recognized by various market research firms, including ... Tiger Analytics is looking for an experienced Data Engineer to design, build, and operate large ...

Microsoft Fabric Data Engineer

Dallas, TX

$113K - $136K/yr

Time-to-market for new client dashboards * Client satisfaction and retention * SLA performance and ... Qualifications Required * 2-5 years of data engineering experience * Strong SQL, data modeling, and ...

AWS Data Engineer - Fully Remote - US Only

Plano, TX ยท On-site +1

$109K - $131K/yr

Our mission is to connect prominent market leaders with top-tier professionals from around the ... The ideal candidate will have at least 5 years of experience in data engineering, a deep ...

In this ever-changing market environment, our professionals must be adaptable and thrive in a ... KPMG is currently seeking a Manager, Data Science Engineer to join our Consulting practice.

Showing results 41-60

Market Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do market data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for market data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What are some common challenges Market Data Engineers face when integrating new data sources?

Market Data Engineers often encounter challenges related to data quality, format inconsistencies, and latency when integrating new data sources. Adapting to different vendor APIs, ensuring real-time data streaming, and maintaining data integrity are crucial tasks that can be technically demanding. Collaborating closely with trading, analytics, and IT teams is essential to troubleshoot issues quickly and deliver reliable data pipelines. Staying current with evolving data protocols and regulatory requirements also plays a significant role in the daily responsibilities of a Market Data Engineer.

What are the key skills and qualifications needed to thrive as a Market Data Engineer, and why are they important?

To thrive as a Market Data Engineer, you need strong programming skills (such as Python, Java, or C++), a deep understanding of financial markets, and a relevant degree in computer science or a related field. Familiarity with market data feeds (like Bloomberg or Reuters), FIX protocol, and real-time data processing systems is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for excelling in this role. These skills and qualities are crucial for ensuring accurate, reliable, and efficient delivery of market data to support trading and financial decision-making.

What is the difference between Market Data Engineer vs Data Analyst?

AspectMarket Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; experience with data engineering toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentFinancial firms, trading platforms, data providersBusiness, finance, marketing departments across industries
Employer & Industry UsageFinancial services, trading firms, market data providersVarious industries including finance, marketing, healthcare

While both roles handle data, Market Data Engineers focus on building and maintaining data infrastructure for market data, whereas Data Analysts interpret data to generate insights. The roles often overlap in data handling but differ in technical depth and focus.

Infographic showing various Market Data Engineer job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 63% In-person, 6% Hybrid, and 31% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Pricing Data Engineer

Mwe

Austin, TX โ€ข On-site

$110K - $169K/yr

Full-time

Re-posted 23 days ago


Job description

Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work.

At McDermott, we don't just invest in your future, we accelerate your career - wherever it may lead. That includes supporting you both in and outside of the office.

With us, you'll find:

  • A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity - we encourage you to be yourself!

  • Enthusiasm for all perspectives: We're smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive.

  • Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That's why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance.

  • Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence.

Job Description:

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable consistent, data-driven pricing across the firm while modernizing workflows and reducing reliance on manual processes. This role supports scalable solutions and the integration of AI-driven capabilities to enhance pricing analysis and insights, and collaborates with cross-functional teams to align with firm standards and continuous improvement efforts. The Pricing Data Engineer works under minimal supervision, and relies on significant experience to plan and accomplish objectives.

Essential Functions and Responsibilities:

  • Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm

  • Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing

  • Support the development and maintenance of pricing strategies for AI-enabled legal services and emerging delivery models

  • Develop and manage data pipelines and queries to support pricing analysis and reporting

  • Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system-driven solutions

  • Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces

  • Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision-making

  • Collaborate with cross-functional teams to support effective pricing, planning, and monitoring of matters through data-driven tools

  • Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies

  • Develop pricing frameworks and unit economics to support AI-enabled legal work, enabling partners to price, monitor, and refine matters

  • Design pricing processes to be natively executable using AI tools

  • Design and maintain a centralized pricing data layer to support consistent data access and usability

  • Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels

  • Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies

Job Specifications:

  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred

  • Strong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions

  • Experience working with AI platforms, automation tools, or AI-enabled workflows preferred

  • Knowledge of cloud data warehouses and experience with cloud-based data platforms and data visualization/reporting tools preferred

  • Strong mathematical and analytical skills

  • Ability to work under tight deadlines and prioritize responsibilities

Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses.


Target Hiring Range $110,000 - $169,000


Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWS provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Physical Demands and Work Environment:

The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands:

  • While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear

  • Employee must occasionally lift up to twenty (20) pounds

Work Environment:

Typical indoor office environment

Disclaimer:

The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.