Data Engineer with Databricks, SQL
Overland Park, KS · On-site
$108K - $130K/yr
... data engineering experience • Experience designing & building data pipelines and data lakes in a ... quantitative equivalent
New
Data Engineer with Databricks, SQL
Overland Park, KS · On-site
$108K - $130K/yr
... data engineering experience • Experience designing & building data pipelines and data lakes in a ... quantitative equivalent
New
Data Engineer with Databricks, SQL
Overland Park, KS · On-site
$108K - $130K/yr
... data engineering experience • Experience designing & building data pipelines and data lakes in a ... quantitative equivalent
New
Data Engineer with Databricks, SQL
Overland Park, KS · On-site
$108K - $130K/yr
... data engineering experience • Experience designing & building data pipelines and data lakes in a ... quantitative equivalent
New
Clean, prepare, and validate quantitative and qualitative data to be analyzed by Data Analysts and Data Engineer staff. * Support and monitor data collection including programming surveys using ...
Quick apply
Clean, prepare, and validate quantitative and qualitative data to be analyzed by Data Analysts and Data Engineer staff. * Support and monitor data collection including programming surveys using ...
Data Scientist
Wichita, KS · On-site
Programming skills in R or Python and experience with related machine learning packages. * Proven ... Ability to structure and process qualitative or quantitative data and draw insightful conclusions ...
New
Quick apply
Data Scientist
Wichita, KS · On-site
Programming skills in R or Python and experience with related machine learning packages. * Proven ... Ability to structure and process qualitative or quantitative data and draw insightful conclusions ...
New
Data Scientist
Wichita, KS · On-site
Programming skills in R or Python and experience with related machine learning packages. * Proven ... Ability to structure and process qualitative or quantitative data and draw insightful conclusions ...
New
Quick apply
Data Scientist
Wichita, KS · On-site
Programming skills in R or Python and experience with related machine learning packages. * Proven ... Ability to structure and process qualitative or quantitative data and draw insightful conclusions ...
New
Manager - Data Platforms
Lenexa, KS · On-site
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Manager - Data Platforms
Lenexa, KS · On-site
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Manager - Data Platforms
Lenexa, KS · On-site
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Manager - Data Platforms
Lenexa, KS · On-site
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Manager - Data Platforms
Lenexa, KS · On-site
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Manager - Data Platforms
Lenexa, KS · On-site
Our platforms power outbound data feeds, operational and analytical reporting, and the insights our ... Engineering, Mathematics, or a related quantitative or technical field required; Master's degree ...
Sr Data Scientist
Leawood, KS · On-site +1
Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to ... Master's degree preferred in a quantitative discipline; familiarity with psychometric methods ...
Sr Data Scientist
Leawood, KS · On-site +1
Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to ... Master's degree preferred in a quantitative discipline; familiarity with psychometric methods ...
Bachelor's degree in engineering, business, facility management and operations, commissioning or ... Ability to synthesize qualitative and quantitative data into actionable recommendations.
Bachelor's degree in engineering, business, facility management and operations, commissioning or ... Ability to synthesize qualitative and quantitative data into actionable recommendations.
Bachelor's degree in engineering, business, facility management and operations, commissioning or ... Ability to synthesize qualitative and quantitative data into actionable recommendations.
Bachelor's degree in engineering, business, facility management and operations, commissioning or ... Ability to synthesize qualitative and quantitative data into actionable recommendations.
The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to ... quantitative field (or equivalent experience) * 7 or more years of experience using data mining ...
The Machine Learning Engineer (MLEA) Principal will lead research and development efforts to ... quantitative field (or equivalent experience) * 7 or more years of experience using data mining ...
Bachelor's degree in engineering, business, facility management and operations, commissioning or ... Ability to synthesize qualitative and quantitative data into actionable recommendations.
New
Bachelor's degree in engineering, business, facility management and operations, commissioning or ... Ability to synthesize qualitative and quantitative data into actionable recommendations.
New
Senior Sensor Algorithms Software Engineer
Olathe, KS · On-site
$118K - $156K/yr
Perform significant mathematical, statistical, and data analysis as part of the algorithm ... Strong quantitative, math, statistics, physics, and dynamics knowledge. Desired Qualifications
Senior Sensor Algorithms Software Engineer
Olathe, KS · On-site
$118K - $156K/yr
Perform significant mathematical, statistical, and data analysis as part of the algorithm ... Strong quantitative, math, statistics, physics, and dynamics knowledge. Desired Qualifications
Product Manager, Custom Engineering Applications
Overland Park, KS · On-site
$165K - $171K/yr
Required : • Strong understanding of engineering workflows, design data lifecycles, and ... quantitative prioritization model for the application portfolio that balances business value and ...
Product Manager, Custom Engineering Applications
Overland Park, KS · On-site
$165K - $171K/yr
Required : • Strong understanding of engineering workflows, design data lifecycles, and ... quantitative prioritization model for the application portfolio that balances business value and ...
Technician lll (North Central KS)
Manhattan, KS · On-site
$60K - $80K/yr
... through reports, and sharing quantitative data with customers. ESSENTIAL FUNCTIONS ... Engineering or technical degree preferred * 3-5 years of experience in water treatment, chemical or ...
Technician lll (North Central KS)
Manhattan, KS · On-site
$60K - $80K/yr
... through reports, and sharing quantitative data with customers. ESSENTIAL FUNCTIONS ... Engineering or technical degree preferred * 3-5 years of experience in water treatment, chemical or ...
Power Trader/Analyst
Overland Park, KS · On-site +1
$60K - $150K/yr
Analyze electricity market data including supply, demand, pricing trends, and grid conditions ... Bachelor's or higher degree in a quantitative field (e.g., Mathematics, Statistics, Engineering ...
Quick apply
Power Trader/Analyst
Overland Park, KS · On-site +1
$60K - $150K/yr
Analyze electricity market data including supply, demand, pricing trends, and grid conditions ... Bachelor's or higher degree in a quantitative field (e.g., Mathematics, Statistics, Engineering ...
Human Factors UX Engineer
Olathe, KS · On-site
Employ both qualitative/quantitative research methods to answer research questions * Moderate ... Use data analysis results to identify usability issues, benchmark products, discover opportunities ...
Human Factors UX Engineer
Olathe, KS · On-site
Employ both qualitative/quantitative research methods to answer research questions * Moderate ... Use data analysis results to identify usability issues, benchmark products, discover opportunities ...
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?
| Aspect | Quantitative Data Engineer | Data Scientist |
|---|---|---|
| Primary Focus | Building data pipelines, data infrastructure, and ensuring data quality | Analyzing data, creating models, and deriving insights |
| Skills & Tools | SQL, Python, Spark, ETL processes, data architecture | Statistics, machine learning, Python/R, data visualization |
| Credentials | Computer science, engineering, or related degrees; certifications in data engineering | Statistics, data science, or related degrees; certifications in data analysis or machine learning |
| Work Environment | Data engineering teams, data infrastructure projects | Data 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 Kansas? For Quantitative Data Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Kansas look for? The top searched job categories for Quantitative Data Engineer jobs in Kansas are:
What cities in Kansas are hiring for Quantitative Data Engineer jobs? Cities in Kansas with the most Quantitative Data Engineer job openings:
$108K - $130K/yr
Other
Posted 6 days ago
New
Job description
Candidates who have worked with FAANG or Good Product based companies are highly considerable
Our team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro.
We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.
We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.
WHAT YOU'LL DO
• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
• Engage business teams to understand their problem space and coordinate technical changes end-to-end
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead
WHAT WE'RE LOOKING FOR
Experience
• 2-4 years of data engineering experience
• Experience designing & building data pipelines and data lakes in a cloud environment
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline
• Experience managing stakeholder expectations across technical & business teams
Technical Skills
• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)
How You Work
• Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
• Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
• Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
• Bias toward simplicity: you ask whether complexity is necessary before adding it
EDUCATION
• Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
• Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent
• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
• Engage business teams to understand their problem space and coordinate technical changes end-to-end
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead
WHAT WE'RE LOOKING FOR
Experience
• 2-4 years of data engineering experience
• Experience designing & building data pipelines and data lakes in a cloud environment
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline
• Experience managing stakeholder expectations across technical & business teams
Technical Skills
• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)
• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)
How You Work
• Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
• Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
• Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
• Bias toward simplicity: you ask whether complexity is necessary before adding it
EDUCATION
• Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
• Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent
About Amaze Systems
Sourced by ZipRecruiter
We strive to be the very best in our industry. We're the Best IT Specialists. We value our clients and their trust in us and hence, Our IT & Web Consultants don't hesitate to move mountains to give them high quality & innovative digital strategies, without resting, till they get the brand of their dreams. Our impeccable digital executions has helped several businesses multiply and increase their business enquiries substantially over years making us one of the most preferred online partners.
Industry
It services
Company size
501 - 1,000 Employees
Headquarters location
Dallas, TX, US