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Quantitative Data Engineer Jobs in Ohio (NOW HIRING)

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure ... Bachelor's degree preferred in a quantitative field (Computer Science, Statistics, Mathematics ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure ... Bachelor's degree preferred in a quantitative field (Computer Science, Statistics, Mathematics ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and ...

Monitise

AI Engineer

Columbus, OH

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree or higher in Computer Science, Data Science, Statistics, Engineering, Cybersecurity, or a related quantitative field or equivalent combination of education, related experience and ...

US Bank

Quantitative Modeler Manager - AML

Columbus, OH

$53 - $68.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data compilation, programming skills and qualitative analysis skills - Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management ...

Smart Data

15787 Data Scientist II

Cincinnati, OH · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LLM fine-tuning, prompt engineering, RAG pipelines, or agentic workflow development * Familiarity ... related quantitative field Preferred: * Experience with MLOps practices including workflow ...

Tri-C

Program Assistant, Nursing Data

Cleveland, OH · On-site

$41K - $45K/yr

This includes gathering and compiling qualitative and quantitative data for program evaluation ... Demonstrated experience with software programming, report generation, developing databases, data ...

Marathon Petroleum Corporation

Senior Product Manager

Findlay, OH

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collects quantitative data and takes a data driven approach to evaluate the viability of product ... Partner with Data Engineering and Architecture teams to define data lineage, metadata, and ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

Bachelor's degree (Major in statistics, computer science, economics, engineering or similar quantitative field preferred) or equivalent experience. * 5+ years of professional experience as a data ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Experience solving analytical problems using quantitative approaches. * Experience with hypothesis ...

Kiva Design

Data Analyst

Cincinnati, OH · On-site

Collaborate with subject matter experts, internal/external stakeholders, software programmers, and ... Experience solving analytical problems using quantitative approaches. * Experience with hypothesis ...

Fhlbcin

Sr. Quantitative Model Analyst

Cincinnati, OH · On-site

$120 - $160/hr

Sr. Quantitative Model Analyst General Summary: Independently leads and assists activities related ... Proficiency in programming languages such as Python, R, or MATLAB, with experience in data ...

New

Aptima Inc

Senior Data Scientist

Fairborn, OH · On-site

$135K - $150K/yr

Our mission is to drive the future of national security by engineering scalable solutions that fuse ... Translate quantitative results into clear, actionable insights for technical teams, behavioral ...

Aptima Inc. (All Jobs)

Senior Data Scientist

Fairborn, OH · On-site

$135K - $150K/yr

Our mission is to drive the future of national security by engineering scalable solutions that fuse ... Translate quantitative results into clear, actionable insights for technical teams, behavioral ...

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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 Ohio?

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

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

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

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

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

Quantitative Data Engineer jobs near you

Senior Data Analyst

EASE Logistics

Dublin, OH • On-site

$81K - $102K/yr

Full-time

Re-posted 11 days ago

Job description

ESSENTIAL DUTIES

Reporting & Dashboard Development

  • Design, build, and maintain Power BI dashboards and reports for operations, finance, sales, and executive stakeholders.
  • Develop and manage semantic data models in Power BI using DAX, including measures, calculated columns, and row-level security (RLS).
  • Analyze and tune underperforming reports and queries to improve load times and reliability.
  • Establish and document self-service BI standards and a shared metrics catalog.

Data & SQL

  • Write complex T-SQL queries, CTEs, window functions, multi-table joins against Azure SQL and Microsoft Fabric.
  • Collaborate with data engineers to define data requirements, validate pipeline outputs, and ensure data quality upstream of reporting.
  • Identify data anomalies and inconsistencies; work upstream to resolve at the source rather than patching in reports.

Stakeholder Collaboration

  • Partner with department leaders across operations, finance, and customer experience to translate business questions into measurable data products.
  • Lead requirements-gathering sessions and translate ambiguous requests into defined scopes with clear deliverables and timelines.
  • Communicate findings clearly to non-technical audiences — written, visual, and verbal.
  • Contribute to special projects, operational improvement initiatives, and data-driven strategy efforts.

Team & Process

  • Recommend and implement process improvements within the analytics function.
  • Uphold data governance, security, and confidentiality standards across all reporting environments.
  • Participate in sprint planning and contribute to team workflows using Azure DevOps or equivalent tooling.

Qualifications

Education

  • Bachelor’s degree preferred in a quantitative field (Computer Science, Statistics, Mathematics, Information Systems).
  • Equivalent professional experience (4+ years) accepted in lieu of degree.
  • Transportation or logistics industry background is a strong plus.

Experience

  • Required- 4+ years of hands-on experience in a BI, data analytics, or reporting analyst role.
  • Required- Expert-level Power BI — semantic modeling, DAX (measures vs. calculated columns), RLS, gateways, and deployment pipelines.
  • Required- Strong T-SQL — complex queries, CTEs, window functions, query optimization; experience with Azure SQL Database.
  • Required - Proven ability to work with messy, multi-source operational data — not just clean, pre-modeled datasets.
  • Preferred - Experience with Microsoft Fabric, Azure Synapse Analytics, OneLake architecture and Fabric lakehouses or warehouses or comparable cloud data platform.
  • Preferred - Direct experience with McLeod TMS data preferred (orders, loads, lanes, drivers, invoicing).
  • Preferred - Experience in logistics, transportation, supply chain, or a similarly operations-heavy industry.

Knowledge, Skills, & Abilities

  • Ability to communicate complex data findings to non-technical stakeholders clearly and confidently.
  • Ability to adapt and work in a fast-paced, operations-heavy environment.
  • Strong problem-solving skills; comfortable working with ambiguous or incomplete requirements.
  • Experience with ADF or analytics engineering practices for building and testing data models preferred.
  • Python or R for exploratory analysis and data prep preferred.
  • Azure DevOps or Git-based version control for BI asset deployment preferred.
  • Power BI Premium / Fabric capacity management, workspace governance, and admin experience preferred.

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