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Quantitative Data Engineer Jobs in Ohio (NOW HIRING)

giftHEALTH Inc

Senior Data Engineer

Columbus, OH · On-site

$142K - $177K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$142K - $177K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

Gifthealth

Senior Data Engineer

Columbus, OH · On-site

$142K - $177K/yr

Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer * Experience : 6+ years of experience as a Data ...

The Air Force Civilian Service

Data Architect

Dayton, OH · On-site

$62 - $79.75/hr

... quantitative, data-driven recommendations regarding risk scenarios and resource-management ... Experience integrating engineering, cybersecurity, intelligence, operational, and business data ...

OpTech LLC

Platform Engineer II

Cincinnati, OH · On-site

The engineer will partner with Risk, Quantitative, Data, Infrastructure, and vendor teams to resolve complex issues, implement platform changes, and improve operational resilience while developing ...

Northwest

Sr. Quantitative Analyst

Columbus, OH · On-site

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in SQL, SAS, Java, C+, C++, or Julia 3 - 5 years Years of experience in a Financial ...

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

Ensuring adherence to data engineering standards and governance, as well as IT change management ... You have a bachelor's degree in a quantitative discipline such as Computer Science or another ...

Keybank

Quant Analytics Sr Assoc

Brooklyn, OH

Master's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of ...

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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 Engineer

Columbus, OH • On-site

giftHEALTH Inc
Internet and IT • 51 - 200 employees
Learn more about giftHEALTH Incexternal

$142K - $177K/yr

Full-time

Re-posted 3 days ago

Key responsibilities

  • Lead the design and architecture of critical data pipelines and platform components.

  • Set technical standards and best practices for the data team.

  • Own the health, scalability, and reliability of the orchestration infrastructure.

Gifthealth rating

7.7

Company rating: 7.7 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Description:Position Summary

The Sr. Data Engineer is responsible for leading the design and architecture of Gifthealth's most critical data pipelines and platform components, establishing technical standards, and mentoring the broader engineering team. The ideal candidate has 6+ years of data engineering experience with demonstrated senior-level ownership, expert command of SQL, Python, and dbt, and the communication skills to align both technical and non-technical stakeholders on complex problems.

Key Responsibilities  
  • Lead the design and architecture of our most critical data pipelines and data platform components
  • Set technical standards and best practices that elevate the entire data team
  • Mentor and support junior and mid-level engineers through code reviews, pair programming, and knowledge sharing
  • Own the health, scalability, and reliability of our orchestration infrastructure
  • Partner with engineering, analytics, and leadership to shape the roadmap for our data platform
  • Evaluate and introduce new tools and technologies to keep our stack modern and effective
  • Ensure compliance and confidentiality of Personal Health Information across all data 
Qualifications
  • Education: Bachelor's Degree in mathematics, statistics, computer science, or other quantitative field and relevant work experience as a Senior Data Engineer
  • Experience: 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership
  • Skills:  
    • 6+ years of experience as a Data Engineer, with demonstrated senior-level ownership
    • Expert proficiency in SQL and Python, with deep experience in Airflow or a comparable orchestrator
    • Strong track record with dbt, modern data warehouse platforms, and CI/CD pipelines
    • Experience mentoring engineers and contributing to team standards and culture
    • Ability to navigate ambiguity, make sound technical decisions, and drive projects to completion
    • Experience with AWS, Fivetran, and automated testing; Ruby experience is a plus
    • Excellent communication skills — you can align technical and non-technical stakeholders on complex problems
    • An excitement about what data can do for healthcare and patients
Work Environment
  • Location: Remote
Employment Classification

Status: Full-time
FLSA: Exempt 

Equal Employment Opportunity (EEO) Statement

Gifthealth is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, transgender status, national origin, age, disability, veteran status, or any other legally protected status.  

We celebrate diversity and are committed to creating an inclusive environment for all employees. If you do not meet every requirement but still feel you would be a great fit for this role, we encourage you to apply!

Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all responsibilities, duties, or skills required of personnel. Gifthealth reserves the right to modify job duties or descriptions at any time.

Requirements:


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