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No Experience Data Engineer Jobs in Indiana (NOW HIRING)

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

CFS

Data Engineer

South Bend, IN · Hybrid

$150K/yr

This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark. As the ...

Michelin

Data Engineer

Woodburn, IN

$102K - $123K/yr

Data Engineer Build a Career That Matters with One of the World's Most Respected Employers ... experience. This can include internship, Co-op, apprentices, military service, or similar programs ...

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health ...

Parkview Health

Data Engineer I

Fort Wayne, IN · On-site

$113K - $135K/yr

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health ...

Michelin

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 ... experience. This can include internship, Co-op, apprentices, military service, or similar programs ...

Parkview Health

Data Engineer I

Fort Wayne, IN

$113K - $135K/yr

Experience: 2 - 3 years of experience in a data engineering, data analysis, data warehouse development or related technical role. Healthcare experience desired, especially Epic (Electronic Health ...

Albanese Candy

Data Engineer

Merrillville, IN · On-site

$112K - $134K/yr

UNDERSTANDING The Data Analyst/Programmer is responsible for leveraging organizational data for the ... Experience in supporting Enterprise software in manufacturing environment. * Experience in AWS ...

GMV

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

If you want this position to be yours, we would like you to have the following knowledge/experience ... No dress code! Be confortable at work * Are you coming from another country? We offer you a ...

BC Forward

Data Engineer IV

Indianapolis, IN · On-site

$69 - $71/hr

Data Engineer IV Location: Remote, USA Duration: Contract - 12 months Pay Range: $69/hr $71/hr (W2 ... The ideal candidate will have strong experience in building scalable data pipelines, data ...

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 ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

... engineer to join their growing data practice. The role involves building and maintaining data ... experience with Spark, Scala, R, or C# is a plus • Practical experience in data pipeline ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Practical experience in data pipeline development, ideally in both batch and streaming patterns ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

Practical experience in data pipeline development, ideally in both batch and streaming patterns ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

Practical experience in data pipeline development, ideally in both batch and streaming patterns ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... • Strong Experience in Data Bricks and PySpark. • Production experience with one or more of ... engineering - pandas, PySpark, REST API integration, unit testing (pytest). • Proficient in T-SQL ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

... • Strong Experience in Data Bricks and PySpark. • Production experience with one or more of ... for data engineering -- pandas, PySpark, REST API integration, unit testing (pytest). • ...

Pwc

Data Engineer - Senior Associate

Indianapolis, IN · On-site

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Showing results 1-20

All JobsData Engineer JobsNo Experience Data Engineer JobsNo Experience Data Engineer Jobs in Indiana

No Experience Data Engineer information

See Indiana salary details

$42.3K

$123.4K

$168.9K

How much do no experience data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for no experience 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 the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What are 'No Experience Data Engineers'?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

Can I make 200k as a data engineer?

Achieving a salary of 200k as a data engineer is possible, especially with significant experience, advanced skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas or senior roles. Entry-level data engineers typically earn lower salaries, but with experience, certifications, and specialization, higher compensation is attainable.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools can augment their work but do not eliminate the need for human expertise in complex data environments.

What engineers make $500,000?

Highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn $500,000 or more annually, especially in senior or leadership roles at large companies. Achieving this level typically requires extensive experience, advanced certifications, and a strong track record of managing complex data infrastructure.

What are some effective ways for entry-level Data Engineers to quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

Can I get a data engineer job with no experience?

Entry-level data engineering roles often require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions.

What are the key skills and qualifications needed to thrive as a No Experience Data Engineer, and why are they important?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.
What are the most commonly searched types of Data Engineer jobs in Indiana? The most popular types of Data Engineer jobs in Indiana are:
What are popular job titles related to No Experience Data Engineer jobs in Indiana? For No Experience Data Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching No Experience Data Engineer jobs in Indiana look for? The top searched job categories for No Experience Data Engineer jobs in Indiana are:
What cities in Indiana are hiring for No Experience Data Engineer jobs? Cities in Indiana with the most No Experience Data Engineer job openings:
No Experience Data Engineer jobs near you
Data Engineer

Data Engineer

CFS

South Bend, IN • Hybrid

$150K/yr

Full-time

Re-posted 8 days ago

Job description

Data Engineer
Location: South Bend, IN (Hybrid)
Salary: Up to $125,000 (Mid-Level) | Up to $150,000 (Senior-Level)

About the Role

An organization in South Bend, IN is seeking a Data Engineer to play a critical role in building and optimizing a centralized enterprise data platform. This position is ideal for a hands-on engineer who thrives in modern Azure environments and has strong experience designing scalable data pipelines using Databricks, Python, and Spark.

As the organization consolidates data into a single, unified platform, this role will focus on engineering robust ETL/ELT processes, modernizing legacy data workflows, and ensuring reliable, high-performance data delivery across the enterprise.

This is a highly visible role working closely with analytics, IT, and business stakeholders to support enterprise-wide reporting, operational intelligence, and long-term data strategy.

What We’re Looking For Must-Have Skills

  • Strong experience with Azure data services (Azure Data Factory, Azure SQL, Synapse, etc.)

  • Hands-on experience with Databricks

  • Strong proficiency in Python and Spark

  • Experience developing and optimizing ETL/ELT pipelines

  • Background working with legacy Microsoft tools such as SSIS and SSRS

  • Deep understanding of data modeling, transformation logic, and pipeline architecture

  • Experience consolidating data into centralized or cloud-based platforms

  • Strong SQL skills

  • Ability to troubleshoot performance issues and optimize large-scale datasets

  • Strong communication skills and ability to collaborate cross-functionally

Nice-to-Have

  • Experience supporting enterprise BI/reporting environments

  • Exposure to ERP, operational, or transactional data systems

  • Experience in manufacturing, agriculture, supply chain, or similar industries

  • Familiarity with data governance and best practices

Key Responsibilities Data Engineering & Platform Development

  • Design, build, and maintain scalable data pipelines using Databricks, Azure, Python, and Spark

  • Migrate and modernize legacy SSIS/SSRS workflows into the centralized data platform

  • Develop robust ETL/ELT processes to integrate data from multiple enterprise systems

Data Architecture & Optimization

  • Support the design of a unified enterprise data model

  • Optimize data processing performance and reliability

  • Ensure data quality, validation, and integrity across pipelines

Collaboration & Strategy

  • Partner with BI, analytics, and business teams to support enterprise reporting needs

  • Contribute to data standards, governance, and architectural best practices

  • Support the organization’s transition to a modern, centralized data ecosystem


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