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Quantitative Data Engineer Jobs in Milwaukee, WI

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Identify trends, risks, and opportunities using quantitative and qualitative data * Define and ... Familiarity with data modeling or data engineering concepts * Domain expertise (e.g., finance, HR ...

KOHLS

Data Scientist (Remote)

Menomonee Falls, WI · On-site

Experience using modern analytics tools, programming languages, and cloud platforms such as Python ... quantitative field * 2+ years of progressively complex data science or analytics experience ...

Johnson Controls

Ai Engineer

Milwaukee, WI

Education in Computer Science, Software Engineering, Data Engineering, Data Science, or a related technical or quantitative discipline. * 2-5 years of experience in software, data, ML engineering, or ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

Education in Computer Science, Software Engineering, Data Engineering, Data Science, or a related technical or quantitative discipline. * 2-5 years of experience in software, data, ML engineering, or ...

Directsupply

Product Owner

Milwaukee, WI

Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom ... Collaborate with developers and tech leads to clarify requirements, remove blockers, and ensure ...

Direct Supply, Inc.

Product Owner

Milwaukee, WI · On-site

Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom ... Collaborate with developers and tech leads to clarify requirements, remove blockers, and ensure ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Milwaukee, WI

Quantitative Data Engineer information

See Milwaukee, WI salary details

$10.8K

$127.8K

$195.1K

How much do quantitative data engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for quantitative data engineer in Milwaukee, WI is $127,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $136,500.00 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 Milwaukee, WI? For Quantitative Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Milwaukee, WI look for? The top searched job categories for Quantitative Data Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Quantitative Data Engineer jobs? Cities near Milwaukee, WI with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Infographic showing various Quantitative Data Engineer job openings in Milwaukee, WI as of June 2026, with employment types broken down into 1% Internship, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,753 per year, or $61.4 per hour.

Senior Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

$87K - $110K/yr

Full-time

Re-posted 26 days ago

Job description

Role Overview

The Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.

Key Responsibilities

  • Lead complex analyses to support strategic and operational decisions

  • Develop and maintain dashboards, reports, and analytical models

  • Identify trends, risks, and opportunities using quantitative and qualitative data

  • Define and standardize KPIs, metrics, and reporting frameworks

  • Partner with business leaders to frame problems and recommend solutions

  • Review and improve analytical work for accuracy and clarity

  • Mentor junior analysts and support skill development

  • Improve data quality, documentation, and analytical processes

Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)

  • 5+ years of experience in analytics or data-focused roles

  • Advanced SQL and strong proficiency in Excel or similar tools

  • Experience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)

  • Strong analytical reasoning and problem-solving skills

  • Ability to clearly communicate insights to technical and non-technical audiences

Preferred Experience

  • Experience with Python or R for analysis

  • Knowledge of statistical methods and experimentation

  • Familiarity with data modeling or data engineering concepts

  • Domain expertise (e.g., finance, HR, operations, product analytics)