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Quantitative Data Engineer Jobs in Cheyenne, WY (NOW HIRING)

CodersData, LLC

Data Analyst

Cheyenne, WY · On-site

Collaborate with data engineers to optimize the data platform to product the analysis results in ... Ability to translate quantitative and qualitative data into insights and strategy to drive the ...

CodersData LLC

Data Analyst

Cheyenne, WY · On-site

Collaborate with data engineers to optimize the data platform to product the analysis results in ... Ability to translate quantitative and qualitative data into insights and strategy to drive the ...

T5 Data Centers

Operations Coordinator

Cheyenne, WY · On-site

Process of timesheets from engineers, chasing and checking quality of data * Contract set up (PPM ... Exceptional organizational, quantitative and problem-solving skills, required * Exceptional ...

T5 Data Centers

Operations Coordinator

Cheyenne, WY · On-site

Process of timesheets from engineers, chasing and checking quality of data * Contract set up (PPM ... Exceptional organizational, quantitative and problem-solving skills, required * Exceptional ...

T5 Data Centers

Operations Coordinator

Cheyenne, WY · On-site

Process of timesheets from engineers, chasing and checking quality of data * Contract set up (PPM ... Exceptional organizational, quantitative and problem-solving skills, required * Exceptional ...

All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Cheyenne, WY

Quantitative Data Engineer information

See Cheyenne, WY salary details

$10.4K

$122.9K

$187.6K

How much do quantitative data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for quantitative data engineer in Cheyenne, WY is $122,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $131,200.00 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.
Quantitative Data Engineer jobs near you

Data Analyst

CodersData, LLC

Cheyenne, WY • On-site

Full-time

Re-posted 15 hours ago

Job description

Company Description

Coders Data is an esteemed provider of IT consulting and Custom made Software Development services. For well over a decade, we have furnished process driven digital solutions for our clients across the global marketplace.

We at Coders Data, discern well the fundamentals and building blocks of a successful software development project and henceforth our quality engineers and business analysts leverage learning's from one industry to another in the pursuit of driving digital transfigurations that are profoundly rooted in business context.

Job Description

We are looking for candidates who are independent, have an inquisitive and curious mind and are comfortable handling complex projects. Candidates must be able to manage their time wisely and handle tight-deadlines. They should also take the initiative and be pro-active to learn and grow.

Responsibilities

  • Generate business impact by creating new business intelligence and analytics
  • Analyze data of cellular technologies for service coverage and user experience
  • Write requirements for additional data collection through a mobile application
  • Technical problem-solving and innovative design of analytics solutions with the constraints of data and time
  • Engage with business stakeholders to present the analysis results and make sound recommendation
  • Document the analysis workflows and data dictionary
  • Collaborate with data engineers to optimize the data platform to product the analysis results in the quickest way possible
  • Proactively reach out stakeholders across teams for additional information and data to maximize the effectiveness of the analysis results
Qualifications
  • Bachelor's degree in computer science, mathematics or scientific field requiring statistical
  • Hands-on ability to manipulate data and build analytical data sets
  • Expert proficiency in one or more of data analysis and data wrangling tools such as SQL, Alteryx, Power BI, Tableau, MS Excel, MapInfo, Python and R.
  • Demonstrated ability to effectively engage, collaborate, and consult with stakeholders, including effective prioritization.
  • Portfolio of with a range data visualization techniques.
  • Ability to translate quantitative and qualitative data into insights and strategy to drive the product development roadmap.
  • Proven experience managing standards, processes and procedures to ensure agile delivery and consistent clear communication with delivery of actionable data-derived insights.
  • Excellent verbal and written communication skills.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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