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Quantitative Data Engineer Jobs in Missouri (NOW HIRING)

TekWissen LLC

IT Data Engineer (Entry)

Creve Coeur, MO · On-site

$58/hr

Job Title: IT Data Engineer (Entry) Location: Creve Coeur, MO 63167 Duration: 12 Months Job Type ... Bachelor's degree in data science, computer science, or related quantitative field * A minimum of 3 ...

Jobgether

$66K - $83K/yr

Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable ... Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO · On-site

... Engineering, Experimental Science with 3+ years of experience or Bachelor's degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive ...

Embtel, Inc.

Jr. Data Scientist

Saint Louis, MO

... Engineering, Experimental Science with 3+ years of experience or Bachelor's degree and 5+ years of quantitative analysis experience in data science capabilities including data mining, predictive ...

Menlo Ventures

Principal Data Scientist

California, MO · On-site

$200 - $260/hr

Partner with engineering and product leaders to embed a data-driven decision culture and act as the ... What We Look ForRequired * 15+ years of experience in data science, statistics, or quantitative ...

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

Engineering, Social Science, or Statistics) • Must have 2+ years of experience with predictive ... and/or other forms of quantitative analysis • Must have experience using libraries like ...

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

IT Data Engineer (Entry)

TekWissen LLC

Creve Coeur, MO • On-site

$58/hr

Contractor

Re-posted 7 days ago

Job description

Overview: 
  
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.  This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world, headquartered in Leverkusen, and areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products.    
 
Job Title: IT Data Engineer (Entry) 
Location: Creve Coeur, MO 63167 
Duration:  12 Months 
Job Type: Temporary Assignment 
Work Type: Hybrid 
 
Job Description:  
 

Position Overview:
We are seeking a highly motivated data engineer with demonstrated experience scaling and delivering production quality data systems to join our Science team within Digital Farming Solutions at client Crop Science. You will work closely with key partners, including data engineers and data scientists, to develop reliable, scalable and maintainable machine learning solutions.
What You Will Do:
  • Write robust, well-documented code
  • Engage with colleagues with diverse technical backgrounds and expertise to understand feature, model and business requirements, and develop solutions to meet automation and scaling needs
  • Evaluate existing data and model pipelines, and provide recommendations to support business and technical requirements
  • Utilize tools and/or infrastructure developed by technical delivery partners to ensure proper data architectures and computational infrastructure is available to support rapid development and testing on machine and deep learning models that create value for our farmers
  • Collaborate across the Science organization to create high-quality, reproducible tools (e.g. templates, packages and dashboards) that will accelerate delivery of customer value
  • Undertake written & verbal communication with stakeholders in various parts of the organization in the form of detailed documentation and presentations
Basic Qualifications:
  • Bachelor’s degree in data science, computer science, or related quantitative field
  • A minimum of 3 years' working experience is required for the following
  • Strong Python coding skills for development and visualizations, including experience with standard packages (numpy, pandas, matplotlib, seaborn)
  • Familiar with Extract, Transform, and Load (ETL) processes and simple pipeline creation
  • Proficient use of SQL or Spark to extract and manipulate data from databases, data warehouses, and data lakes
  • Experience utilizing Git for collaborative code development
  • Experience with cloud-based platforms (AWS, GCP, Azure) and basic services (ie. S3, Lambda, Dataproc)
  • Experience with oral presentation and technical writing
Preferred Qualifications:
  • Excitement to learn new topics, develop new skills and use new tools
  • Experience with web services, api and database design
  • Experience applying data quality concepts
  • Familiarity with NOSQL tools like Hadoop (hive, pig, presto) and PySpark
  • Experience with virtual machines and cloud computing
  • Interdisciplinary communication and collaboration skills
  • Experience with application of statistics to environmental or agricultural problems
  • Expertise in data interoperability and analytics
TekWisen® Group is an equal opportunity employer supporting workforce diversity.

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Our global footprint covers six countries: United States, Canada, Australia, India, United Kingdom and the Philippines. This allows us to work in close partnership with organizations and manage everything from global talent needs with demanding resourcing strategies, to single sites with lower recruitment volumes.

TekWissen® is an equal opportunity employer supporting workplace diversity. 

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About TekWissen

Sourced by ZipRecruiter

TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2009

Social media

Twitter

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