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Quantitative Data Engineer Jobs in Ohio (NOW HIRING)

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

... data. While grounded in statistical programming (R) and rigorous research methodologies, the ... Quantitative Research & Statistical Analysis: Lead the design and execution of consumer surveys (e ...

Requisition Number: 223352 The IT Data Engineer Lead is responsible for: working and guiding on ... Bachelor's degree in Statistics, Mathematics, Data Science, Engineering or related quantitative ...

Requisition Number: 223352 The IT Data Engineer Lead is responsible for: working and guiding on ... Bachelor's degree in Statistics, Mathematics, Data Science, Engineering or related quantitative ...

Use Python or R for data consumption, aggregation, analysis, and model development * Utilize Power ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

Use Python or R for data consumption, aggregation, analysis, and model development * Utilize Power ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. * 7+ years of experience along with a PhD in a related field ...

PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. * 7+ years of experience along with a PhD in a related field ...

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

Use Python or R for data consumption, aggregation, analysis, and model development * Utilize Power ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

Work with leaders, product engineers and user experience researchers to understand customer data and explore opportunities to turn qualitative data into quantitative data for use in recommendation ...

PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. * 7+ years of experience along with a PhD in a related field ...

AI and Data Science Engineer II

Cleveland, OH · On-site

$111K - $133K/yr

... another quantitative field * 2+ years of industry experience outside of academia applying data ... Master's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

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Showing results 1-20

Quantitative Data Engineer information

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 Ohio? For Quantitative Data Engineer jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Quantitative Data Engineer jobs? Cities in Ohio with the most Quantitative Data Engineer job openings:
Product Data Engineer, Autonomous Airpower

Product Data Engineer, Autonomous Airpower

Anduril Industries

Ashville, OH • On-site

Other

Posted 12 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

ABOUT THE JOB 

Anduril is seeking a Product Data Engineer to join our Fury Team in Columbus, Ohio.  The Product Data Engineer is responsible for change control activities supporting the Autonomous Airpower production line.  As a Product Data Engineer  you will work closely with the leaders of critical Anduril programs to manage a highly dynamic and fast-paced design, engineering, and manufacturing environment. The Product Data Engineer will have a massive impact on capturing and defining the baseline for a program's requirements, design, testing, manufacturing, and sustainment data structures (requirements baseline, EBOM, MBOM, SOM, BOP). 


WHAT YOU'LL DO

  • Be a partner to Product and Program teams by:
    • Working with Anduril system, design, and manufacturing engineers to generate, populate and submit configuration item change requests.
    • Preparing critical analyses to support change requests while maintaining configuration integrity and traceability (item dependency analyses, test analyses, effectivity plans, inventory disposition analyses etc.)
    • Supporting the execution and implementation of change notices across system engineering, design engineering, manufacturing engineering, and supply chain domains.
    • Identifying and executing continuous improvement opportunities by building data-driven perspectives of the full product configuration landscape. 
  • Be the leader of critical configuration management activities and forums by:
    • Supporting configuration managers in managing critical program technical forums (Test Review Board, Change Control Board etc.).
    • Working with program teams to prepare for critical technical forums (the Change Review Board, the Change Control Board) including preparing of business cases, test data, effectivity plans, inventory disposition plans, etc.
    • Documenting and distributing conclusions, decisions emerging from configuration management forums. 
  • Conduct periodic product configuration record audits by:
    • Supporting configuration management reviews and audits, including FCA/PCA and providing direction before, during and after the events to prevent or resolve issues.
    • Reconciling released bills of materials against baseline bills of materials by confirming all variances have signed-off change notices.
    • Reconciling product as-built-records against released bills of materials by confirming all variances have quality deviations.
    • Identifying, analyzing resolving non-conformances; finding and resolving root-causing failure modes. 
  • Be an expert resource for the Product Teams for Engineering Release and Change Management processes and standards by:
    • Using Teamcenter software to manage Engineering changes, including part revisions, EBOM/MBOM/SBOM updates, documentation modifications, and associated workflows.
    • Providing guidance and support to Engineering teams in configuring the Engineering, Manufacturing, and Service Bills of Materials (EBOM, MBOM, SBOM)
    • Supporting Configuration Managers and Engineers in defining and maintaining configurable product data sets (i.e., 150% BOMs, product variant dictionaries and schema).
    • Being a Teamcenter super-user and able to train product team users on workflows. 
  • Be part of the team defining the future of digital engineering at Anduril by:
    • Partnering with engineering teams to set requirements and identify improvement opportunities in existing ways of working by creating tools or enhancing existing workflows.
    • Building an end-to-end digital thread that maintains an accurate product definition, system by system, from the definition of requirements to the as maintained record.
    • Identifying and piloting opportunities to leverage Anduril's AI capabilities tools to unlock increased speed, accuracy, and efficiency within Anduril's configuration management activities. 


REQUIRED QUALIFICATIONS
 

  • 2-5 years of configuration analysis or equivalent experience. 
  • 2-5 years of demonstrated experience working in high complexity and high-rate production environments (aerospace, automotive, security systems, medical devices, nuclear). 
  • Familiar with configuration management principles and practices (EIA649/C, MIL-HDBK-61B). 
  • Experience with product lifecycle management (PLM) and/or data management toolsets for configuration management of complex products 
  • Possess high attention to detail and strong organizational skills. 
  • Excellent written and verbal communication skills - you must have an ability to synthesize complex quantitative data into clear decision statements. 
  • BA/BS degree. 
  • Ability to earn trust, maintain positive and professional relationships, and contribute to our inclusive culture. 
  • Is able to obtain and maintain a U.S. security clearance. 


PREFERRED QUALIFICATIONS
 

  • Proven experience in aerospace industry.
  • Proficient in technical writing of processes and procedures.
  • Experience with Teamcenter, Teamcenter Requirements, Teamcenter Quality, Confluence & JIRA. 
  • Database skills with SQL queries, etc. 
  • Certification in CM2 or equivalent configuration management certification. 

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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