ZipRecruiter

Log In

1

Quantitative Data Engineer Jobs in Houston, TX (NOW HIRING)

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Bachelor's Degree Computer Science, Data Science, MIS, Engineering, Mathematics, Statistics or other quantitative discipline with 5-8 years of hands-on experience in data engineering, with a proven ...

HCL Global Systems Inc

Palantir Data Engineer

Spring, TX · On-site

$101K - $122K/yr

Required : • Bachelor's degree in computer science, engineering, quantitative sciences, or ... data-heavy applications and/or working as a data engineer • Demonstrated proficiency and ...

Hp

Data Solutions - Data Engineer

Spring, TX · On-site

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... The role provides quantitative rationale for executing customer and product strategies and tactics.

Crane Company

BI Data Engineer

The Woodlands, TX

The BI Data Engineer is a Business Intelligence focused role that will be an essential part of the ... Perform advanced quantitative and statistical analysis of large datasets to identify trends ...

Crane Company

BI Data Engineer

The Woodlands, TX · On-site

The BI Data Engineer is a Business Intelligence focused role that will be an essential part of the ... Perform advanced quantitative and statistical analysis of large datasets to identify trends ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience with data visualization and reporting tools and the ability to present quantitative ...

Expand Energy

Quantitative Risk Analyst

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience with data visualization and reporting tools and the ability to present quantitative ...

ExxonMobil

Quantitative Analyst, V&S LNG

Spring, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production-ready analytical solutions. * Create and maintain valuation tools, optimization ...

ExxonMobil

Quantitative Analyst, V&S LNG

Spring, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production-ready analytical solutions. * Create and maintain valuation tools, optimization ...

ExxonMobil

Quantitative Analyst, V&S LNG

Spring, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate closely with quantitative analysts, technology teams, and data engineers to develop scalable and production-ready analytical solutions. * Create and maintain valuation tools, optimization ...

3M HEALTHCARE

Natural Gas Quantitative Developer

Houston, TX · On-site

$175 - $250/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a highly motivated and skilled quantitative developer to join our natural gas ... Build and automate robust, scalable data pipelines using Python and SQL to process market, weather ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience with data visualization and reporting tools and the ability to present quantitative ...

Expand Energy

Quantitative Risk Manager

Spring, TX · On-site

Additional programming capability in one or more of SQL, C#, C++, VBA, or similar languages ... Experience with data visualization and reporting tools and the ability to present quantitative ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline. * Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit)

Invesco

Sr. Principal Coach

Houston, TX · On-site

Translate qualitative and quantitative data into strategic recommendations for continuous improvement. • Collaborate with engineers and analysts to build scalable data pipelines and models. Ensure ...

next page

Showing results 1-20

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Houston, TX

Quantitative Data Engineer information

See Houston, TX salary details

$10.5K

$123.8K

$189.1K

How much do quantitative data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for quantitative data engineer in Houston, TX is $123,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $132,300.00 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?

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 Houston, TX?

For Quantitative Data Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Quantitative Data Engineer jobs in Houston, TX look for?

The top searched job categories for Quantitative Data Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Quantitative Data Engineer jobs?

Cities near Houston, TX with the most Quantitative Data Engineer job openings:

Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,828 per year, or $59.5 per hour.

Principal Data Engineer

NAVA Software Solutions

Houston, TX • On-site

$106K - $127K/yr

Full-time

Re-posted 17 hours ago

Job description

NAVA Software solutions is looking for a Principal Data Engineer
Details:
Principal Data Engineer
Location: Houston, TX - 4 days/week onsite
Duration: Full time / Direct Hire
The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and managing robust, scalable data platforms. This position demands a blend of cloud data engineering, systems engineering, data integration, and machine learning systems knowledge to enhance GST's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs. You will guide other team members and collaborate closely with cross-functional teams to design and implement modern data solutions that enable data-driven decision-making across the organization.
As a Principal Data Engineer you will:
  • Collaborate with Business, and IT functional experts to gather requirements or issues, perform gap analysis and recommend/implement process and/or technology improvements to optimize data solutions.
  • Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to support the data science and analytical needs of the organization.
  • Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Databricks, Apache Spark, Kafka, Flink, AWS Glue or other AWS services.
  • Work within cloud environments like AWS to leverage services including but not limited to EC2, RDS, S3, Athena, Glue, Lambda, EMR, Kinesis, and SQS for efficient data handling and processing.
  • Develop and optimize data models and storage solutions (SQL, NoSQL, Key-Value DBs, Data Lakes) to support operational and analytical applications, ensuring data quality and accessibility.
  • Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
  • Implement pipelines with a high degree of automation for data workflows and deployment pipelines using tools like Apache Airflow, Terraform, and CI/CD frameworks.
  • Collaborate closely with business analysts, data scientists, machine learning engineers, and optimization engineers, providing the data infrastructure and tools needed for complex analytical models, leveraging Python, scala or R for data processing scripts.
  • Ensure compliance with data governance, compliance and security policies, implementing best practices in data encryption, masking, and access controls within a cloud environment.
  • Establish best practices for code documentation, testing, and version control, ensuring consistent and reproductive data engineering practices across the team.
  • Monitor and troubleshoot data pipelines and databases for performance issues, applying tuning techniques to optimize data access and throughput.
  • Ensure efficient usage of AWS and Databricks resources to minimize costs while maintaining high performance and scalability.
  • Cross functional work understanding data landscape, developing proof of concepts, and demonstrating to stakeholders.
  • Leads one or more data projects and support with internal and external resources. Coach and mentor junior data engineers.
  • Stay abreast of emerging technologies and methodologies in data engineering, advocating for and implementing improvements to the data ecosystem.

What We Need From You
  • Bachelor's Degree Computer Science, Data Science, MIS, Engineering, Mathematics, Statistics or other quantitative discipline with 5-8 years of hands-on experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures Req
  • Proven experience designing scalable, fault-tolerant data architecture and pipelines on Databricks delta lake, lakehouse, unity catalog, streaming, AWS, ETL/ELT development and data modeling, with a focus on performance optimization and maintainability Required
  • Deep experience of platforms and services like Databricks, and AWS native data offerings Required
  • Solid experience with big data technologies (Databricks, Apache Spark, Kafka) and AWS cloud services related to data processing and storage Required
  • Strong hands-on experience with ETL/ELT pipeline development using AWS tools and Databricks Workflows Required
  • Strong experience in AWS cloud services, with hands-on experience in integrating cloud storage and compute services with Databricks Required
  • Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala Required
  • Hands on RDBMS and data warehousing experience (data modeling, analysis, programming, stored procedures) Required
  • Good understanding of system architecture and design patterns to design and develop applications using these principles Required
  • Proficiency with version control systems like Git and experience with CI/CD pipelines for automating data engineering deployments Required
  • Familiarity with machine learning model deployment and management practices is a plus Preferred
  • Experience with SAP, BW, HANA, Tableau, or Power BI is a plus Preferred
  • Experience with auto, manufacturing, or supply chain industries is a plus Preferred
  • Project life-cycle leadership and support for requirement workshop, design, development, test cycles and production cutover, post-go live support, and environment strategy. Strong knowledge of agile methodologies Required
  • Strong communication skills, capable of collaborating effectively across technical and non-technical teams in a fast-paced environment. Required
  • AWS Certified Solution Architect Preferred
  • Databricks Certified Associate Developer for Apache Spark Preferred or other relevant certifications. Preferred
NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

Facebook

View All NAVA Software Solutions Jobs

Apply