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Quantitative Data Engineer Jobs in Texas (NOW HIRING)

Diverse Lynx

Python Data Engineer

Houston, TX · On-site

Python Data Engineer Location: Houton, TX - 5 Days onsite role Long Term Project Job ... Collaborate with business stakeholders and quantitative analysts to translate requirements into ...

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

... analyze data engineering problems and develop, build and manage large-scale data structures ... Quantitative analysis techniques, including clustering, regression, and pattern recognition;

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

... analyze data engineering problems and develop, build and manage large-scale data structures ... Quantitative analysis techniques, including clustering, regression, and pattern recognition;

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

... Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient ... and quantitative data analysis on source systems based in data warehouses and legacy data marts ...

Omega Solutions Inc

Senior Big Data Engineer

Austin, TX · On-site

$55.25 - $73/hr

... quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases ...

New

CVS Health

Sr Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

... Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient ... Quantitative analysis techniques, including clustering, regression, and pattern recognition. Pay ...

CVS Health

Sr Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

... Data Engineer to develop, build and manage large-scale data structures, pipelines and efficient ... Quantitative analysis techniques, including clustering, regression, and pattern recognition. Pay ...

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 ...

Crane Co.

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 ...

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 ...

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Quantitative Data Engineer information

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 Texas? For Quantitative Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Texas look for? The top searched job categories for Quantitative Data Engineer jobs in Texas are:
What cities in Texas are hiring for Quantitative Data Engineer jobs? Cities in Texas with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Palantir Ontology Data Engineer

Palantir Ontology Data Engineer

NAVA Software Solutions

Spring, TX • On-site

$104K - $125K/yr

Full-time

Posted 24 days ago

Job description

NAVA Software is looking for a Palantir Ontology Data Engineer
Details:
Palantir Ontology Data Engineer
Duration: 12 Months
Location: Spring TX - 5 day a week
Interview mode: Video + Final F2F
What role you will play in our team
  • As part of the CCS100 Fusion Team, help build tools that optimize investment and operational decisions in the world-class, scalable carbon capture system
  • Be a specialist in building and maintaining production-grade data pipelines, data connections, and ontologies within the Palantir Foundry platform.
  • Implement the data layer of the CCS100 application using the Palantir Foundry platform, revising the current design implemented in other technologies
  • Serve as a knowledge resource regarding Palantir tools for the rest of the CCS100 team

What you will do
  • Quickly come up to speed on the current data organization of the CCS100 product, converting that data model into a Palantir Ontology representation
  • Develop back-end code logic that leverages semantic object linking (ontologies) to enhance data integration, analysis, and visualization capabilities.
  • Give suggestions and recommendations on changes to the data model that would improve performance, extensibility, or flexibility of the Palantir solution
  • Work closely with data strategists to develop technology solutions for business problems, ensuring seamless data flow and integration.
  • Implement validations and transforms of the Ontology data as required, taking full advantage of Foundry platform capabilities
  • Create examples or write interface code that will ease connection to Ontology data from other parts of our system
  • Create and configure ontology objects using backing datasets, permissions, and other configurations.
  • Document ontologies, data models, schemas, formats, and software application program interfaces.
  • Partner with product owners, architects, and developers to design data architecture and pipelining.
  • Provide training and support to users on the capabilities and use cases enabled by the enhancement of Palantir Foundry ontology.

Skills and Qualifications
  • Bachelor's degree in computer science, engineering, quantitative sciences, or mathematics; alternatively significant practical software project experience
  • Multiple years of experience in building data heavy applications or working as a data engineer
  • Producing or maintaining high-quality data assets in Palantir Foundry
  • Knowledge of distributed computing frameworks (e.g., Spark) and programming languages (e.g., Python, SQL).
  • Demonstrated proficiency and experience with building applications in Palantir Foundry, focused on data modeling and utilization of Ontology Manager tool
  • Strong analytical thinking skills with ability to assimilate software architectures and data designs quickly
  • Adaptability to rapidly changing priorities and an ability to deliver work on time
  • Good technical communication and collaboration skills; experience working in Agile teams

Preferred Qualifications/ Experience
  • Broad experience in other Palantir Foundry tools (e.g. Workshop, Quiver, etc.)
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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

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