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New Grad Data Engineer Jobs in Indiana (NOW HIRING)

Independence Corrugated

Data Engineer

Carmel, IN · On-site

$110K - $120K/yr

Data Engineers build data pipelines that transform raw, unstructured data into formats that can be ... Our structure allows us to adapt to change quickly, get new ideas off the ground, and thrive in the ...

inKind

Data Engineer (AI)

Austin, IN

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... Ability to stay up-to-date with new frameworks and tools - especially in the rapidly evolving AI/ML ...

Bespoke Labs

Data Engineer

Fort Wayne, IN

$105K - $126K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Hammond, IN

$109K - $130K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Terre Haute, IN

$108K - $130K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Evansville, IN

$109K - $131K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

South Bend, IN · On-site

$112K - $135K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Indianapolis, IN

$100K - $120K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Gary, IN

$113K - $136K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Senior Data Engineers also help mentor new team members and continues to grow their knowledge of new technologies. Responsibilities * Develop ETL pipelines from various data repositories to load into ...

Pwc

Data Engineer - Manager

Indianapolis, IN

... new data technologies and tools to enhance data architecture - Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

... new data technologies and tools - Leading data strategy engagements providing thought leadership - Developing leading practices for Data Engineering, Data Science, and Data Governance - Architecting ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.

Deloitte

Sr Databricks Data Engineer

Indianapolis, IN

$109K - $131K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

Deloitte

AI Data Engineer - Manager

Indianapolis, IN

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... new products. * Break down client problems and bring an understanding of leading technology ...

Allegion

Lead Platform Data Engineer

Carmel, IN · On-site

Drive the technical proposal process, conducting cost-benefit analyses for new systems to balance ... Security & Privacy: Engineer data lifecycle policies that strictly adhere to global privacy ...

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Showing results 1-20

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Indiana

New Grad Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do new grad data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for new grad data 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 are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

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

Data Engineer

Independence Corrugated

Carmel, IN • On-site

$110K - $120K/yr

Full-time

Posted 4 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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