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Market Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Plano, TX

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades ... As a Data Engineer, you'll take ownership of building and maintaining the data systems that ...

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades ... As a Data Engineer, you'll take ownership of building and maintaining the data systems that ...

Data Engineer

Plano, TX · On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As we enter our fourth decade, we're revolutionizing how we approach the market, combining decades ... As a Data Engineer, you'll take ownership of building and maintaining the data systems that ...

Data Engineer

Southlake, TX · On-site

$52.88 - $59.62/hr

Your work will directly contribute to improving system stability, accelerating time to market ... As a hands-on data engineering professional, you will leverage cloud technologies, data integration ...

Data Engineer

Dallas, TX

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus * Pay Range ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus * Pay Range ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Above market compensation package and merit based financial awards

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus * Pay Range ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an early hire to our engineering team, you will be responsible for managing Loxo's data ... Above market compensation package and merit based financial awards

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

The scope of market data spans equity and derivatives markets, fixed income, securitized, credit and legal entity/issuer content. Your Key Responsibilities Software Engineering -- architect, design ...

Financial Data Engineer

Dallas, TX · On-site

$85K - $111K/yr

The scope of market data spans equity and derivatives markets, fixed income, securitized, credit and legal entity/issuer content. Your Key Responsibilities Software Engineering - architect, design ...

Financial Data Engineer

Addison, TX · On-site

$85K - $111K/yr

The scope of market data spans equity and derivatives markets, fixed income, securitized, credit and legal entity/issuer content. • Software Engineering -- architect, design and develop secure ...

Financial Data Engineer

Addison, TX · On-site +1

$85K - $111K/yr

The scope of market data spans equity and derivatives markets, fixed income, securitized, credit and legal entity/issuer content. Your Key Responsibilities • Software Engineering - architect ...

Data Engineer

Southlake, TX

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Your work will directly contribute to improving system stability, accelerating time to market ... As a hands-on data engineering professional, you will leverage cloud technologies, data integration ...

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... market data at the time of posting.

Data Engineer (Starlink)

Bastrop, TX

$113K - $136K/yr

Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate ... engineering or software engineering experience (internship experience applicable) * 1+ years of ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate ... engineering or software engineering experience (internship experience applicable) * 1+ years of ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate ... engineering or software engineering experience (internship experience applicable) * 1+ years of ...

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Showing results 1-20

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 Aug 17, 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 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.

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 does a market data engineer do?

A market data engineer designs, develops, and maintains systems for collecting, processing, and distributing financial market data. They work with large datasets, use programming languages like Python or Java, and often utilize database and data pipeline tools to ensure accurate and timely data delivery for trading and analysis purposes.
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.

$113K - $136K/yr

Full-time

Re-posted 29 days ago


Job description

We're looking for a Data Engineer to help build and maintain the data pipelines that power our investment, research, and analytics teams. You'll work closely with data scientists, quants, and investors to onboard new datasets, ensure data quality, and maintain the reliability of the data that drives decision-making across the firm.
What You'll Do
• Build, maintain, and troubleshoot ETL pipelines (Airflow, Dagster, or similar).
• Ingest and deeply understand new datasets - their structure, quirks, and business meaning.
• Maintain high-quality, well-documented datasets used across the organization.
• Partner with non-engineering stakeholders to understand data needs and guide them to the right sources.
• Evaluate data vendors and ensure we use the best data for each use case.
What We're Looking For
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Who Thrives Here
• Curious, detail-oriented engineers who like diving deep into complex datasets.
• People who enjoy owning problems end-to-end and defining their own requirements.
• Engineers who build reliable, maintainable systems and prefer fast, iterative execution.
Why Join
• High-impact role: the data you manage powers investment decisions across the firm.
• Broad exposure to many types of financial and alternative data.
• Opportunity to shape a growing data function and work with teams across the entire company.
Qualifications
• Strong Python and SQL skills.
• Experience building data pipelines; familiarity with Spark or Pandas a plus.
• Strong attention to detail and persistence in debugging data issues.
• Clear communication skills, especially with non-technical audiences.
• 1-3 years of experience (or strong internships); senior candidates also welcome.
Why is This a Great Opportunity
You are building data infrastructure that directly drives investment decisions. The pipelines you own power research, analytics, and live decision making across the firm. This is not abstract data work. It affects capital allocation.
You work directly with quants, data scientists, and investors. You are not buried behind layers of product or management. You see how data is used, where it breaks, and how to make it better. That feedback loop is fast and real.
You get broad exposure to high value datasets. Market data, alternative data, vendor feeds, internal research outputs. You learn how data actually behaves in production, not how it looks in a demo.