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Quantitative Data Engineer Jobs in Oklahoma (NOW HIRING)

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Senior Data Engineer

Oklahoma City, OK · On-site

$98K - $133K/yr

Senior Data Engineer Location: Oklahoma City, Ok Description: Responsible for developing and ... Strong technical, quantitative, and qualitative analysis skills. * Ability to collaborate ...

Data Engineer Senior

Oklahoma City, OK · On-site

$98K - $133K/yr

Job Title: Data Engineer Senior * Job Code: 130059 * Job Grade: 58 JOB SUMMARY Responsible for ... Strong technical, quantitative, and qualitative analysis skills. * Ability to collaborate ...

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Quantitative Data Engineer information

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.

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 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 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.

What are popular job titles related to Quantitative Data Engineer jobs in Oklahoma?

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

What cities in Oklahoma are hiring for Quantitative Data Engineer jobs?

Cities in Oklahoma with the most Quantitative Data Engineer job openings:

Infographic showing various Quantitative Data Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Oklahoma City, OK • On-site

OakTree Staffing
Recruiting and Staffing Services • 11 - 50 employees

$98K - $133K/yr

Contractor

Medical, Vision, Life

This job post has expired today. Applications are no longer accepted.


Job description

Senior Data Engineer
Location: Oklahoma City, Ok
Description:
Responsible for developing and enabling the strategic use of data assets throughout the organization. Reviews, analyzes, forecasts, and evaluates business functions, operations, processes, and information to develop or modify databases, data models, application systems, analytical tools, or reports in support of business objectives. Serves as a primary interface between the business and IT regarding definition, implementation, and support of IT provided services. Included in this are providing continuous communication; eliciting and documenting requirements; and negotiating, setting and managing Service Levels. Ensures that the levels of IT service delivery are defined and achieved, both for existing and new services in accordance with the agreed targets.


Level of Responsibility: 
Complex responsibilities related to primary focus of job area. Uses best practices and in-depth business knowledge to solve complex problems and improve products or services. May adapt procedures, processes and techniques to meet the more complex requirements of position.
Essential Funcations:

  • Collaborates directly with business and technology stakeholders to understand business capabilities & requirements.
  • Serves as a technical resource for peers and vendor partners; may assist with complex technical tasks.
  • Supports the translation of business requirements into data architecture components under guidance from Lead Data Engineers or principal engineers.
  • Provides input to business stakeholders to help address technical aspects of business issues. Reviews and provides feedback on design documents from vendors/partners.
  • Assists in analyzing the current technology environment to detect critical deficiencies and recommend solutions for improvement under the guidance of the Lead/Specialist Data Engineer.
  • Designs, implements, and maintains data services, interfaces, and real-time data pipelines via the practical application of existing, new, and emerging technologies and data engineering techniques.
  • Works with DevSecOps to enable continuous integration and continuous deployment for data pipelines that include automated unit & integration testing.
  • Facilitates meetings and provides solutions for complex projects using business acumen.
  • Supports rapid feedback loops to improve project delivery and resolve production issues.
  • Provides guidance and support to offshore team members as needed. Maintains awareness of emerging technologies and contributes to discussions on system upgrades.
  • Participates in incident management and on-call rotations using established troubleshooting procedures.
  • Supports for agile practices to increase delivery throughput.
  • Performs root cause analysis on various bugs or defects through troubleshooting systems.
  • Responsible for creating, maintaining, and ensuring consistency with published development standards, and contributes to their improvement.
  • Plans and prioritizes assignments with guidance from Lead or Principal Engineers.
  • Serves as a source of expertise on reporting systems and data sources.
  • Writes functional business requirements, implementation plans, documentation, and procedures, leveraging attention to detail.
  • All other duties as assigned.


Knowledge, Skills and Abilities:

  • Strong technical, quantitative, and qualitative analysis skills.
  • Ability to collaborate effectively and contribute to team success.
  • Demonstrated ability to work on agile teams delivering data solutions.
  • Ability to solve moderately complex problems using established solutions and frameworks.
  • Demonstrates the ability to learn new technologies and apply them within data engineering solutions.
  • Proven strong organizational and time management skills.
  • Working knowledge of the organization, processes, and customers.
  • Demonstrates the ability to synthesize, analyze, and summarize data using established business principles and data engineering practices to support informed decision-making.
  • Collaborates effectively with individuals across diverse roles and backgrounds, while remaining open to feedback to enhance technical outcomes and team performance.
  • Demonstrated self-motivation and proactive attitude.
  • Demonstrated ability to investigate and analyze information and draw conclusions.
  • Engages with vendor partners to support delivery and provide technical feedback.
  • Solid ability to consistently maintain a high level of integrity and discretion to handle confidential information.
  • Proven ability to effectively communicate with team members and leadership.


Education/Work Experience:

  • Bachelor's Degree in Business, Marketing, Information Technology, Computer Science, Engineering, or other related technical discipline, and 5 years experience as a Developer, System Administrator, QA Engineer/Tester, Systems Analyst, Business Analyst, OR;
  • High School Diploma/GED and 6 years experience as a Developer, System Administrator, QA Engineer/Tester, Systems Analyst, Business Analyst, or related technical discipline.


License's & Certifications:

  • No Licensure or Certification Required.


Special Safety:

  • Member will not be required to drive in order to perform their job duties.
  • Member is not required to perform any safety sensitive duties.


Health & Safety (Medical/DOT Requirements):

  • Pre-Employment Drug Screen