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Quantitative Data Engineer Jobs in Indiana (NOW HIRING)

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 ...

MS Companies

Quality Engineer

Seymour, IN

$65K - $85K/yr

... data-driven analysis and preventative quality techniques. The Quality Engineer will interpret ... ● Generate quantitative quality reports and communicate findings to leadership ● Lead ...

Aisin Corporation

Quality Engineer

Seymour, IN · On-site

$62K - $80K/yr

Complete quantitative reports on quality issues and effectively communicate to management. * Lead ... Analyze data to assist with Kaizen activities 1st pass yield, scrap reduction, process improvements ...

Career Site

Quality Engineer

Seymour, IN · On-site

$62K - $80K/yr

Complete quantitative reports on quality issues and effectively communicate to management. * Lead ... Analyze data to assist with Kaizen activities 1st pass yield, scrap reduction, process improvements ...

Guidehouse

Model Validation Lead

Indianapolis, IN

... Engineering, Economics, or a related quantitative field * FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics

Guidehouse

Model Validation Lead

Indianapolis, IN

... Engineering, Economics, or a related quantitative field * FIVE (5) or more years of experience in model validation, model risk management, data science, quantitative analysis, or advanced analytics

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

... related Quantitative disciplines and 5 or more years of experience in predictive analytics or ... Expert knowledge of software such as SAS and SAS Enterprise Miner Lead and programming languages ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

... related Quantitative disciplines and 5 or more years of experience in predictive analytics or ... Expert knowledge of software such as SAS and SAS Enterprise Miner Lead and programming languages ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · On-site

... related Quantitative disciplines and 5 or more years of experience in predictive analytics or ... Expert knowledge of software such as SAS and SAS Enterprise Miner Lead and programming languages ...

Elevance Health

Data Scientist Senior

Indianapolis, IN · Hybrid

... related Quantitative disciplines and 5 or more years of experience in predictive analytics or ... Expert knowledge of software such as SAS and SAS Enterprise Miner Lead and programming languages ...

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All JobsQuantitative Data Engineer JobsQuantitative Data Engineer Jobs in Indiana

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 Manager, RethinkBH

Product Manager, RethinkBH

Rethink

Indianapolis, IN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description

About RethinkFirst
RethinkFirst builds technology that helps people thrive across behavioral health, education, caregiving, workplace wellbeing, and human services. Through RethinkBH, RethinkCare, and RethinkEd, we support a wide range of users, including clinicians, educators, caregivers, employers, administrators, families, and learners.
Our products solve meaningful, complex, human-centered problems. We believe great design can bring clarity to complexity, help users feel confident in moments that matter, and support better outcomes across care, education, and wellbeing.
Job Summary
The Product Management function at RethinkBH focuses on delivering meaningful, user-centric products that help patients and ABA practices by improving workflows, communication, and treatment outcomes.
Product Managers drive product vision, strategy, metrics, roadmaps, and prioritized backlogs. The Product Manager is at the center of where users, business, product, design, analytics, and engineering meet. The product manager is expected to heavily leverage AI tools to build user experiences for user review and handoff to engineering.
Key Responsibilities
Product Strategy & AI Innovation
  • Define and drive product vision, roadmap, and positioning
  • Identify and prioritize AI/ML opportunities to solve clinical and operational needs
  • Build business cases grounded in ROI, data insights, and AI-driven value creation
  • Stay ahead of market trends, especially in AI, digital health, and ABA solutions
  • Leverage AI tools (e.g., prototyping, copilots) to rapidly design and validate user experiences

Customer & Insights
  • Deeply understand user personas and workflows across clinical and business contexts
  • Use qualitative + quantitative data (incl. AI-driven analytics) to uncover insights
  • Continuously gather stakeholder feedback to inform product direction and adoption

Execution & Delivery
  • Own end-to-end product lifecycle from discovery to launch and iteration
  • Translate strategy into epics, features, and prioritized backlogs for Agile teams
  • Partner with design and engineering to deliver high-quality, scalable solutions
  • Use AI-assisted workflows to accelerate development, testing, and iteration
  • Align stakeholders, manage dependencies, and drive timely delivery

Performance & Growth
  • Define and track success metrics; use data to optimize product performance
  • Monitor adoption, utilization, and outcomes; iterate using experimentation (A/B testing, rapid prototyping)
  • Own product P&L and ensure sustainable growth and impact

Qualifications
  • Track record of successfully owning and improving a product, with growth numbers to support product adoption
  • Ability to travel occasionally as needed
  • Experience in APIs (FHIR and HL-7 if possible)
  • Background in developing Healthcare Practice Management and EMR solutions
  • ABA Experience strongly preferred

Benefits:
  • Generous health, dental, & vision benefits package
  • Flexible paid time off
  • 11 paid company holidays
  • 401k + matching
  • Parental leave
  • Access to our award-winning RethinkCare platform supporting neurodiversity in the workplace through parental success, professional resilience, and personal wellbeing.

Location: Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL, GA, HI, IA, IL, IN, KY, LA, MD, MA, MI, MN, MO, MT, NC, NE, NH, NJ, NV, OH, OR, PA, RI, TN, TX, VA, WA, WI, WY
Recruiting Fraud Alert: Job applicants should be aware that there are external parties posing as RethinkFirst recruiters. These scams may include fraudulent communications via social media platforms (such as LinkedIn), email, or requests to schedule interviews. Note that any recruiting related communication you receive from RethinkFirst would come from an @rethinkfirst.com e-mail address, @applytojob.com email address (via our talent acquisition system), '[email protected]' email address, and/or be found on the Rethinkfirst.com website. Please also note that at no point during our recruitment process will we request any form of monetary payment. If you believe that you have been a victim of job recruiting fraud, you should file a report with your local law enforcement.
Our commitment to an inclusive workplace
RethinkFirst is an equal opportunity employer and is committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Accommodations are available for applicants with disabilities.
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