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Quantitative Data Engineer Jobs in Colorado (NOW HIRING)

Data Analyst

Denver, CO ยท On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable ... The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ...

Data Engineer

Colorado Springs, CO ยท On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer The Opportunity: Achieving data dominance provides a critical competitive advantage ... Master's degree in a quantitative or systems-focused STEM field Clearance: Applicants selected will ...

Data Engineer

Colorado Springs, CO ยท On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a data engineer at Booz Allen, you will focus on the foundational layer of our customer ... Master's degree in a quantitative or systems-focused STEM field Clearance: Applicants selected will ...

Data Engineer

Colorado Springs, CO ยท On-site +1

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share Data Engineer The Opportunity: Achieving data dominance provides a critical competitive ... Master's degree in a quantitative or systems-focused STEM field Clearance: Applicants selected will ...

Data Engineer

Colorado Springs, CO

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer The Opportunity: Achieving data dominance provides a critical competitive advantage ... Master's degree in a quantitative or systems-focused STEM field Clearance: Applicants selected will ...

Lead Data Engineer

Englewood, CO ยท On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of ... Bachelor's (8+ years) or Master's (6+ years) in computer science or related quantitative field ...

Lead Platform Data Engineer

Golden, CO ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Master's Degree in a technical field preferred. * 7+ Years in Data Engineering: With at ...

  • Medical

  • Retirement

Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal ... Write production code that other quants want to build on. Own reliability, testing, and ...

Quantitative Developer

Denver, CO ยท On-site

$110K - $125K/yr

  • Medical

  • Retirement

Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal ... Write production code that other quants want to build on. Own reliability, testing, and ...

Quantitative Developer

Denver, CO ยท Hybrid

$110K - $125K/yr

  • Medical

  • Retirement

Own the multi-asset data layer: market data, macro, fundamentals, fund and index data, internal ... Write production code that other quants want to build on. Own reliability, testing, and ...

Data Scientist, NA

Denver, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in a quantitative discipline. * Master's degree preferred. * 5-8+ years of experience in data science, machine learning, and software engineering. * Experience with Full Stack AI ...

Data Scientist, NA

Denver, CO ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in a quantitative discipline. * Master's degree preferred. * 5-8+ years of experience in data science, machine learning, and software engineering. * Experience with Full Stack AI ...

Data Scientist, NA

Denver, CO ยท On-site

$140 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in a quantitative discipline.* Master's degree preferred.* 5-8+ years of experience in data science, machine learning, and software engineering.* Experience with Full Stack AI ...

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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 Colorado?

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

What job categories do people searching Quantitative Data Engineer jobs in Colorado look for?

The top searched job categories for Quantitative Data Engineer jobs in Colorado are:

Data Analyst

ResolveSoft Inc

Denver, CO โ€ข On-site

$65K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Position: Data Analyst

Location: Onsite, Denver, CO
Position Summary

The Data Analyst supports the Client’s Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management, program oversight, monitoring, and decision-making for the Client. This role conducts both quantitative and qualitative analyses, develops repeatable and sustainable analytical products, and supports leadership and program staff through timely, accurate, and well-documented data outputs.

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization Specialist, and program staff to ensure analyses are methodologically sound, aligned with user needs, and compliant with federal data standards.


Primary Responsibilities

  • Collect, compile, clean, and analyze data from multiple sources to support Head Start grants management, monitoring, and oversight activities.
  • Conduct quantitative analyses using structured datasets and qualitative analyses of narrative documents, forms, applications, and reports.
  • Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations.
  • Prepare high-quality analytical reports, summaries, and data tables to support Regional Office, Central Office, and leadership needs.
  • Support recurring and ad hoc reporting, including management information reports, trend analyses, and leadership briefings.
  • Track, prioritize, and respond to data requests in coordination with project leadership and Client staff.
  • Assist with rapid-turn analyses and short-notice leadership requests.
  • Support implementation of repeatable, sustainable data practices for ongoing and recurring analyses.
  • Work collaboratively with data engineering, visualization, and program teams to align analyses with operational needs.
  • Support data-informed evaluation of workflows and business processes and contribute to improvement recommendations.


Required Qualifications


  • Bachelor’s degree in statistics, mathematics, economics, data science, or a related field.
  • 3+ years of post-baccalaureate professional experience performing data analysis or related work.
  • 1+ years of experience analyzing quantitative data & synthesizing findings into clear written products.
  • 1+ years of experience with Excel, Python, R, and preferably Smartsheet,
  • 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation
  • 1+ years of experience with application of AI Tools: GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS
  • 1+ years of experience supporting federal programs or grants management environments; early childhood or Head Start/Early Head Start is preferred.
  • US government-issued security clearance required (will be initiated upon hire)
  • Valid driver’s license and ability to pass an MVR check.


Preferred Qualifications

  • Demonstrated ability to work with multiple data sources and manage competing priorities.
  • Strong analytical and critical thinking skills.
  • Experience using analytical tools such as Excel and scripting or statistical languages (e.g., Python, R).
  • Ability to communicate analytical findings clearly to both technical and non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Ability to work independently and collaboratively in a team-based environment.
  • Experience supporting federal programs or grants management environments.
  • Familiarity with qualitative data analysis and review of narrative program documentation.
  • Experience working with data layers, dashboards, or visualization tools (e.g., Tableau, Power BI).
  • Knowledge of early childhood or Head Start programs.



Company Description

Our mission is to empower our clients to achieve sustainable success through efficient, cost-effective, and scalable solutions that drive significant performance improvements. We believe in delivering value-driven results and fostering a culture that attracts and retains top talent to provide scalable, adaptable services.