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New Grad Data Engineer Jobs in Indiana (NOW HIRING)

Barnes and Thornburg LLP

Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Participate in and contribute to data quality enhancement planning and implementation for new projects. * Stay current with the latest industry trends and best practices in data engineering and ...

Beacon Health System

Data Engineer

Granger, IN · On-site

$102.70K - $123.30K/yr

The Data Engineer will use the business intelligence tools to build custom queries, integrate new data and data sources, and ensure accurate data. The Data Engineer is expected to work independently ...

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 · On-site

$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 ...

Genesis10

Entry Level Data Engineer

Indianapolis, IN · On-site

$100.40K - $120.60K/yr

The role of Entry Level Data Engineer involves gaining real-world experience while developing ... Information Technology and Services Founded in 1999, the company is headquartered in New York, USA ...

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/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 ...

State of Indiana

Senior Data Engineer

Indianapolis, IN · On-site

$79.12K/yr

Develops the definition, implementation, and continued adherence of new data management policies and design standards for data engineering. * Provide advice, training, and technical support for ...

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

$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

AI Data Engineer - Manager

Indianapolis, IN

$109.40K - $131.40K/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 ...

Deloitte

AI Data Engineer Manager

Indianapolis, IN

$109.40K - $131.40K/yr

AI Data Engineer Manager Position Summary Our Human Capital practice is at the forefront of ... 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 ...

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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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 May 29, 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 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 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.
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Data Engineer

Data Engineer

Barnes and Thornburg LLP

Indianapolis, IN • On-site

$109.40K - $131.40K/yr

Full-time

Posted 11 days ago

Barnes & Thornburg rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

10th of 17 rated law firms

Job description

Summary: The Data Engineer will focus on backend data engineering tasks, developing and maintaining extract, transform, load (ETL) processes to integrate data from various sources into the firm's data systems. This role will work extensively with Microsoft Fabric and collaborate with data architects, other engineers, and analysts to ensure data pipelines are efficient and reliable. The Data Engineer will also support teams delivering data dashboards and reporting, ensuring the provision of necessary information to the organization. This role is essential for developing and maintaining our overall data taxonomy and ensuring its consistency across multiple systems and platforms.
Key Responsibilities:
  • Design, construct, and maintain data pipelines (ETL processes) to integrate large volumes of legal data efficiently and securely from various sources.
  • Develop data lake and data warehouse solutions, implementing best practices for data ingestion, storage, and retrieval.
  • Establish and deploy comprehensive data governance and security frameworks including data access controls, compliance measures, and data classification.
  • Collaborate with cross-functional teams, including analysts, attorneys, and IT professionals, to understand data requirements and design backend solutions that meet their needs.
  • Assess and prioritize data initiatives based on business objectives, best practices, and partner/practice need to ensure alignment with strategic goals.
  • Design and implement testing strategies for data pipelines, validating data integrity, accuracy, and performance throughout the workflow.
  • Create and maintain thorough documentation for data architectures, pipelines, and transformations, and processes to ensure transparency and knowledge sharing.
  • Build and optimize automated data workflows to streamline ingestion, transformation, and processing, reducing manual effort and improving efficiency.
  • Optimize data storage and retrieval processes to improve performance and scalability, leveraging cloud-based technology such as Azure.
  • Participate in and contribute to data quality enhancement planning and implementation for new projects.
  • Stay current with the latest industry trends and best practices in data engineering and analytics, continuously evaluating and implementing new tools and techniques to enhance our data infrastructure.
  • Provide technical support and troubleshooting assistance for data-related issues, working proactively to identify and resolve potential problems.
  • Collaborate with cybersecurity and compliance teams to ensure data security and regulatory compliance.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a technology-related field. 7+ years of related work experience, preferably in a legal or regulatory environment.
  • Proven experience leading data engineering projects, including requirements gathering, architecture design, development, testing, and deployment.
  • Experience with Microsoft Fabric or a combination of Azure Synapse Analytics, ADLS Gen 2, Synapse SQL Pools, Azure Data Factory (ADF) and/or other Azure data platforms.
  • Experience with the Microsoft Power Platform, such as Power BI, Power Automate, Power Apps, or other similar tools.
  • Strong SQL Experience including complex queries, stored procedures, SSIS, SSRS
  • Experience building data pipelines using Python/PySpark
  • Proven experience designing and implementing data architectures, including system requirements, technology selection, and governance.
  • Expertise in end-to-end multi-layered data architectures (e.g., bronze/silver/gold), managing data from raw ingestion to business-ready datasets while ensuring quality, lineage, and documentation.
  • Strong data modeling skills, including conceptual, logical, and physical models for optimized storage and retrieval.
  • Proven ability to test data pipelines for accuracy, consistency, and performance, including unit and integration testing.
  • Experience in migrating data from on-premises databases and servers to Azure Cloud environments is preferred.
  • Experience with version control; knowledge and experience with GitHub is a plus.
  • Ability to present technical ideas in business-friendly and user-friendly language.

Working Conditions:
  • Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components.
  • Normal office environment with little exposure to excessive noise, dust, temperature, and the like.

This job description is intended to describe the general requirements of this position. As such, it is not designed to cover or contain a comprehensive listing of job duties or responsibilities required in this job. Subject to firm needs, duties and responsibilities of this position may change at any time, on a temporary or permanent basis, and with or without notice.
Equal Employment and Opportunity Statement:
Barnes & Thornburg is committed to equal employment opportunity in both principle and as a matter of policy. We will recruit, hire, train, promote, compensate and provide benefits to all applicants and employees without regard to ancestry, sex, race, color, ethnicity, national origin, gender, age, religion, religious creed, mental and/or physical disability, medical condition, military and/or veteran's status, genetic information, marital status, sexual orientation, gender identity and/or expression, or any other basis protected by applicable federal, state and local laws. This policy applies to all recruiting, hiring, promotions, upgrades, layoffs, compensation, benefits, terminations and all other privileges, terms and conditions of employment. The firm complies fully with all federal, state and local equal employment opportunity laws.

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