1

Quantitative Data Engineer Jobs in Tennessee (NOW HIRING)

Data Engineer II

Memphis, TN ยท On-site

$7.4K - $9.9K/mo

The Data Engineer II plays an important role within , focused on delivering engineering innovation ... quantitative field such as Engineering or Mathematics or equivalent formal training or work ...

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 7+ years of professional experience. * 5+ years of experience designing ...

Senior Business Analyst

Nashville, TN

$89K - $115K/yr

The project includes migrating 3 distinct quantitative data architectures onto Snowflake, a new ... Degree in Finance/ Economics, Operations Management, or Computer Science/Engineering, Master ...

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

... quantitative discipline * 6+ years of experience in data science, analytics, or applied research ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

next page

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 Tennessee? For Quantitative Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Tennessee look for? The top searched job categories for Quantitative Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Quantitative Data Engineer jobs? Cities in Tennessee with the most Quantitative Data Engineer job openings:

$7.4K - $9.9K/mo

Full-time

Posted 5 days ago


Job description

The Data Engineer II plays an important role within , focused on delivering engineering innovation within , helping to execute the delivery of key business initiatives. S/he acts as a "universal translator" between IT, business, software engineers and data scientists, collaborating with these multi-disciplinary teams. The Data Engineer II will contribute to the adherence of technical standards for data engineering, including the selection and refinements of foundational technical components. S/he will work on those aspects of the platform that govern the ingestion, transformation, and pipelining of data assets, both to end users within FedEx and into data products and services that may be externally facing. Day-to-day, s/he will be deeply involved in code development and medium-scale deployments.


Essential Functions

Responsible for designing and implementing data pipelines, ensuring data quality and accessibility, creating data models, managing ETL processes, optimizing databases, collaborating with stakeholders, utilizing big data tools, implementing real-time data processing, ensuring data governance and security, documenting data architecture, and delivering data-driven insights.ย 

1. Design and implement data pipelines to collect, process, and store data efficiently.ย 

2. Ensure data quality, integrity, and accessibility.ย 

3. Create data models to support business analytics and reporting.ย 

4. Work with business partners, analysts, and other stakeholders to understand data needs, and design schemas.ย ย 

5. Build and manage ETL (Extract, Transform, Load) processes for data integration and automate data ingestion and transformation tasks.ย 

6.ย ย Optimize ETL pipelines and databases (both SQL and NoSQL). Monitor database performance and troubleshoot issues.ย 

7. Collaborate with software engineers to integrate data systems with applications.ย 

8. Utilize big data tools for processing large datasets, such as Spark, BigQuery, SQL, Pub/Sub, or DataProc.ย 

9. Experience with Ab Initio ETL is preferred.ย 

9. Implement distributed systems for real-time data processing.ย 

10. Ensure data governance and security through compliance with data governance policies and data security standards.ย 

11. Implement data access controls and encryption techniques.ย 

12. Document data architecture, pipelines, and processes.ย 


Minimum Education

Bachelor's Degree in Computer Science, Information Systems, a related quantitative field such as Engineering or Mathematics or equivalent formal training or work experience.

Minimum Experience

Two (2) years equivalent work experience in measurement and analysis, quantitative business problem solving, simulation development and/or predictive analytics. Strong knowledge in data engineering and machine learning frameworks including design, development and implementation of highly complex systems and data pipelines. Strong knowledge in Information Systems including design, development and implementation of large batch or online transaction-based systems. Strong understanding of the transportation industry, competitors, and evolving technologies. Experience as a member of multi-functional project teams. Strong oral and written communication skills. A related advanced degree may offset the related experience requirements.


Domicilie Location

The preferred location for this hybrid position is Collierville, TN. However, we will consider candidates based elsewhere within the United States (excluding Alaska, Hawaii, and U.S. territories). Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx location several times per week.ย 

Pay Transparency

Collierville Pay Range: $7,488.36/monthly - $9,922.07/monthlyย 


Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details:


For details on our comprehensive benefits, click here.


Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)
Employment Type: FULL_TIME