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Data Science Engineer Jobs in Indiana (NOW HIRING)

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

A bachelor's degree in computer science, data science, software engineering, or related field (R) Experience : At least five years of experience in data analytics, data engineering, software ...

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or any other technology ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI ... Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field OR ...

These components power our Product, Engineering, Analytics, and Data Science teams by enabling experimentation, operational excellence, and actionable insights to accelerate business growth. You'll ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Collaborate with backend engineers to integrate geospatial features into production systems ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Minimum of 1 to 3 years of Computer Science, Management of Information Systems, Application ...

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

The Data Engineer Level I is focused on supporting the design, development, and maintenance of data ... Education: Associate's or Bachelor's degree in Computer Science, Information Technology ...

Showing results 41-60

Data Science Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do data science engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science engineer in Indiana is $123,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Indiana?

For Data Science Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Indiana look for?

The top searched job categories for Data Science Engineer jobs in Indiana are:

Infographic showing various Data Science Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,433 per year, or $59.3 per hour.

Data Analytics Engineer

Haynes International

Kokomo, IN • On-site

$101K - $121K/yr

Full-time

Posted 23 days ago


Haynes International rating

5.5

Company rating: 5.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

About the Opportunity:
The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines, analytics systems, and reporting solutions. The analytics engineer also models raw data into clean, tested, and reusable datasets to allow business stakeholders to view and understand data in a warehouse or database.
Qualifications (Required & Preferred):
Education: A bachelor's degree in computer science, data science, software engineering, or related field (R)
Experience: At least five years of experience in data analytics, data engineering, software engineering, or a similar role (R); Expertise in data modeling, ETL development, and data analysis (R)
Skills: Strong ability in SQL for data extraction and manipulation, and proficiency in data warehousing concepts/tools such as Targit, Ignite, and Power BI; Familiarity with cloud-based data platforms such as Azure for data storage and processing; Substantial programming ability using languages/tools such as C++ & .NET for data manipulation and scripting; Solid understanding of relevant data governance, data quality, and data security best practices; Strong problem-solving skills, and the ability to think critically and analytically; Knowledge of ETL processes, data integration, and data warehousing concepts.; Familiarity with data visualization tools such as Targit & Power BI; Knowledge of upgrading data systems like Targit; Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders (all R).
Role Responsibilities:
  • Delivers well-defined, transformed, tested, documented, and code-reviewed datasets for analysis
  • Builds data aggregation pipelines using SQL, .NET, Targit, Power BI
  • Creates robust data models and architectures to support analytics initiatives
  • Collaborate with business stakeholders to understand their analytics needs and deliver comprehensive reports, dashboards, and models
  • Identifies and implements optimizations to continually enhance query performance, reduce processing time, and increase overall productivity
  • Designs, develops and maintains data pipelines to ensure efficient and reliable ETL processes
  • Implements and maintains analytics systems, data warehouses, or data lakes to store and manage structured and unstructured data
  • Creates and maintains dashboards, visualizations, and reports using tools such as Targit & Power BI to enable data-driven decision-making
  • Collaborates with Data Analytics Manager to incorporate Power BI and data governance across the organization
  • Ensures data quality and accuracy by implementing data validation, monitoring, and error-handling processes

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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