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Quantitative Data Engineer Jobs in Indiana (NOW HIRING)

Independence Corrugated

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Experience in quantitative and qualitative analysis of data. * Experienced level skills in Systems Analysis. * Experienced level skills in Systems Engineering. * Ability to function as a self-starter.

Allegion

Lead Platform Data Engineer

Carmel, IN

Bachelor's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Master's Degree in a technical field preferred. * 7+ Years in Data Engineering: With at ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

Bachelor's Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Master's Degree in a technical field preferred. * 7+ Years in Data Engineering: With at ...

Northwest

Quantitative Analyst II

Fishers, IN · On-site

... data consumption, aggregation, analysis, and model development Utilize Power BI to develop ... programming in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General ...

Allied Solutions LLC

UX Researcher

Carmel, IN · On-site

... quantitative data from analytics tools, survey results, and other research methods to develop themes and insights that inform UX decisions * Collaborate with strategists, designers, developers, and ...

Allied Solutions LLC

UX Researcher

Carmel, IN

... quantitative data from analytics tools, survey results, and other research methods to develop themes and insights that inform UX decisions * Collaborate with strategists, designers, developers, and ...

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 ...

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Quantitative Data Engineer information

What is an example of quantitative?

A quantitative example involves numerical data that can be measured and analyzed statistically. In a Quantitative Data Engineer role, this might include metrics like transaction volumes, data throughput, or statistical summaries used to build data pipelines and models.

What is quantitative vs qualitative?

Quantitative data refers to numerical information that can be measured and analyzed statistically, such as sales figures or sensor readings. Qualitative data involves descriptive, non-numerical information like opinions, interviews, or observations. In data engineering, understanding both types helps in designing systems that process and analyze diverse data sources effectively.

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 does quantitative mean?

In the context of a Quantitative Data Engineer role, 'quantitative' refers to working with numerical data and statistical methods to analyze and model information. This involves skills in mathematics, programming, and data analysis tools to develop algorithms and insights from large datasets.

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 are the synonyms of quantitative?

Synonyms of quantitative include numerical, measurable, and statistical. In a data engineering context, these terms relate to data that can be quantified and analyzed using tools like SQL, Python, or R, often involving numerical datasets and statistical methods.

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
Data Engineer

Data Engineer

Independence Corrugated

Carmel, IN • On-site

$110K - $120K/yr

Full-time

Posted 2 days ago

Job description

Schwarz Partners has an exciting opportunity available for a Data Engineer in Carmel, IN! Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure that enables almost every other data function. This includes architectures such as databases, servers, and large-scale processing systems. A Data Engineer uses different technologies to collect and map an organization's data landscape to help decision-makers find cost savings and optimization opportunities. In addition, data Engineers use this data to display trends in collected analytics information, encouraging transparency with stakeholders.
Schwarz Partners is one of the largest independent manufacturers of corrugated sheets and packaging materials in the U.S. Through our family of companies, we continuously build and strengthen our capabilities. You'll find our products wherever goods are packaged, shipped, and sold-from innovative retail packaging to colorful in-store displays at pharmacies and grocers. You also may have spotted our trucks on the highway. Schwarz Partners is built around the idea that independence and innovation go hand in hand. Our structure allows us to adapt to change quickly, get new ideas off the ground, and thrive in the marketplace. Our people are empowered to tap into their talents, build their skills, and grow with us.
ESSENTIAL JOB FUNCTIONS FOR THIS POSITION:
  • Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud technologies.
  • Assemble large, complex sets of data that meet non-functional and functional business requirements.
  • Identify, design, and implement internal data-related process improvements.
  • Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues.
  • Conduct configuration & design of application to better leverage the enterprise.
  • Prepare data for prescriptive and predictive modeling.
  • Use effective communication to work with application vendors.
  • Assist in the creation and quality assurance review of design documents and test results to ensure all project requirements are satisfied.
  • Ability to advise and implement on improvements to data warehousing and data workflow architecture.
  • Think outside the box and come up with improvement and efficiency opportunities to streamline business and operational workflows.
  • Document high-level business workflows and transform into low-level technical requirements.
  • Ability to analyze complex information sets and communicate that information in a clear well thought out and well laid out manner.
  • Ability to communicate at varying levels of detail (30,000 ft. view, 10,000 ft. view, granular level) and to produce corresponding documentation at varying levels of abstraction.
  • Be an advocate for best practices and continued learning.
  • Ability to communicate with business stakeholders on status of projects/issues.
  • Ability to prioritize and multi-task between duties at any given time.
  • Solid communication and interpersonal skills.
  • Comply with company policies and procedures and all applicable laws and regulations.
  • General DBA work as needed.
  • Maintain and troubleshoot existing ETL processes.
  • Create and maintain BI reports.
  • Additional duties as assigned.

REQUIRED EDUCATION / EXPERIENCE:
  • Bachelor's degree in Computer Science or 4+ years' experience in related field.

PREFERRED EDUCATION / EXPERIENCE:
  • Experience developing data workflows.
  • Ability to perform prescriptive and predictive modeling.

REQUIRED SKILLS:
  • Demonstrated experience with SQL in a large database environment.
  • Direct experience utilizing SQL to develop queries or profile data.
  • Experience in quantitative and qualitative analysis of data.
  • Experienced level skills in Systems Analysis.
  • Experienced level skills in Systems Engineering.
  • Ability to function as a self-starter.

REQUIRED MICROSOFT FABRIC SKILLS:
  • Strong grasp of OneLake concepts: lakehouses vs. warehouses, shortcuts, mirroring, item/workspace structure.
  • Hands-on with Delta Lake (Parquet, Delta tables, partitioning, V-ordering, Z-ordering, Vacuum retention).
  • Understanding of Direct Lake, Import, and DirectQuery trade-offs and when to use each.
  • Experience designing star schemas and modern medallion architectures (bronze/silver/gold).
  • Spark/PySpark notebooks (jobs, clusters, caching, optimization, broadcast joins).
  • Data Factory in Fabric (Pipelines): activities, triggers, parameterization, error handling/retries.
  • Dataflows Gen2 (Power Query/M) for ELT, incremental refresh, and reusable transformations.
  • Building/optimizing semantic models; DAX (measures, calculation groups, aggregations).
  • Ability to multi-task, think on his/her feet and react, apply attention to detail and follow-up, and work effectively and collegially with management staff and end users.

Our organization is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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