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Quantitative Data Engineer Jobs in Portland, TN (NOW HIRING)

Applies data extraction, transformation and loading techniques in order to connect large data sets ... Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ...

Senior Financial Analyst, NACF

Nashville, TN · On-site

$82K - $102K/yr

... quantitative data and create meaningful reports to lead business improvement and defect cost ... engineering, math, computer science) PREFERRED QUALIFICATIONS - 4+ years of participating in ...

Applies data extraction, transformation and loading techniques in order to connect large data sets ... Requires a Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning ...

Showing results 21-40

Quantitative Data Engineer information

See Portland, TN salary details

$10K

$117.7K

$179.7K

How much do quantitative data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for quantitative data engineer in Portland, TN is $117,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $125,700.00 per year, depending on experience, location, and employer.

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 job categories do people searching Quantitative Data Engineer jobs in Portland, TN look for?

The top searched job categories for Quantitative Data Engineer jobs in Portland, TN are:

What cities near Portland, TN are hiring for Quantitative Data Engineer jobs?

Cities near Portland, TN with the most Quantitative Data Engineer job openings:

Infographic showing various Quantitative Data Engineer job openings in Portland, TN as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,687 per year, or $56.6 per hour.

Generative AI Engineer III - State and Local Government

Deloitte

Nashville, TN • On-site

$55.50 - $74.50/hr

Full-time

Re-posted 7 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

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