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Quantitative Data Engineer Jobs in Indiana (NOW HIRING)

NextBillion.ai

Product Designer (Remote)

Indiana, PA · Remote

... quantitative data. Roles and Responsibilities: * Identify new product improvement opportunities * Design complex workflows through iterative design process * Work closely with product engineering ...

OPENLANE

BI Engineer

Carmel, IN

$51 - $66.25/hr

Bachelor's degree in a quantitative field (Data Science, Statistics, Computer Science, Economics, Finance, or a related field) * 3-5+ years of experience in BI, data engineering, or related Analytics ...

micro1 AI

Domain Expert - (STEM PhD)

Indianapolis, IN · Remote

$80 - $90/hr

... engineering principles * Analyze data and interpret results to inform AI training datasets with precision * Apply sophisticated calculus and quantitative methodologies to problem-solving tasks

Rethink

Product Manager, RethinkBH

Indianapolis, IN · On-site +1

... engineering meet. The product manager is expected to heavily leverage AI tools to build user ... Use qualitative + quantitative data (incl. AI-driven analytics) to uncover insights * Continuously ...

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

Product Designer (Remote)

NextBillion.ai

Indiana, PA • Remote

Full-time

Re-posted 5 days ago

Job description

We are looking to hire a Product Designer to join our team and work collaboratively with other teams. 

To be successful in this role, you will need to work with other designers and cross-functional team members and make informed decisions based on both qualitative and quantitative data.

Roles and Responsibilities:
  • Identify new product improvement opportunities
  • Design complex workflows through iterative design process
  • Work closely with product engineering teams to deliver on the product roadmap
  • Collaborate with customer success to build a close understanding of customer needs
  • Stay up to date on current product design trends
  • Communicate your design rationale and advocate for design through the presentation of your work

Job Requirements:
  • You have 5+ years of experience in product design, in fast growth Internet companies
  • Knowledge of the end to end product design process
  • The ability to craft beautiful designs and delightful, useful, and usable experiences; you have strengths in visual design, interaction, and product design
  • Excellent communication and storytelling skills
  • Has a systematic approach to solving complex design challenges while articulating the solutions in the simplest way

About NextBillion.ai
NextBillion.ai is a first-ever decentralised, customizable, and tailored map stack focused on the transportation/logistics industry. NextBillion.ai helps solve highly complex transportation and operational challenges. Every customer, use case, and geography is different, and NextBillion.ai is able to integrate these differences directly into their mapping environment. 

NextBillion.ai provides last-mile delivery, telematics, food delivery, automotive, and ride-hail with location tools and API's that help them adopt an AI-first approach. NextBillion.ai is customizable to be hyper-local and pinpoint accurate for difficult to solve enterprise use cases. 

Nextbillion.ai was founded in January 2020 by Ajay Bulusu, Gaurav Bubna and Shaolin Zheng. They were formerly part of the map team at Grab, a multinational ride-hailing and food delivery company.
Employment Type: FULL_TIME

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