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No Experience Data Engineer Jobs in Indiana (NOW HIRING)

Data Entry Coordinator Considering a career with Big C Lumber? Are you looking for a company that ... New position training program - no experience necessary * A culture of embracing new technology to ...

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Position Overview Introl is seeking experienced Data Center Technicians to join our team as hourly ...

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... If you want this position to be yours, we would like you to have the following knowledge/experience:

Experience with relevant programming languages and relational databases for database management and ... No. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team ...

Data Scanning Associate

Terre Haute, IN · On-site

$15.25 - $19.75/hr

Field Representative - Flexible Schedules For College Students - No Experience Needed Flexible schedules, you can work within the assigned window anytime the store is open! Need to study for a final?

Data Scanning Associate

Warsaw, IN · On-site

$13.50 - $17.50/hr

Field Representative - Flexible Schedules For College Students - No Experience Needed Flexible schedules, you can work within the assigned window anytime the store is open! Need to study for a final?

Associate Data Scientist

Fort Wayne, IN

$58K - $58K/yr

Must have previous experience with Excel, SQL, and statistical programming languages (i.e. Python ... This in no way implies that these are the only duties, including essential duties, to be performed ...

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

Collaborating with a multidisciplinary team of data scientists, data engineers, and software ... Experience integrating AI/LLM tools such as OpenAI, Azure OpenAI, or Anthropic APIs into ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Must have previous experience with Excel, SQL, and statistical programming languages (i.e. Python ... This in no way implies that these are the only duties, including essential duties, to be performed ...

Data Scientist

Crane, IN · On-site

$80K - $95K/yr

... experience and/or certifications in addition to other position specific requirements which may impact salary Position Overview Amatriot is seeking a Data Scientist to provide engineering and ...

No Minimum Clearance Required: Interim_Secret Clearance Level Must Be Able to Obtain: Secret ... Qualifications REQUIRED EDUCATION AND EXPERIENCE: * Bachelor's degree in electrical engineering and ...

Showing results 41-60

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 Aug 7, 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 is a no experience data engineer?

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.

How can entry-level data engineers 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.

What skills and qualifications are needed to thrive as a no experience data engineer?

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:

AI & GenAI Data Scientist-Senior Associate

Pwc

Indianapolis, IN

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Utilizing programming languages such as Python and C++ to build robust data models
- Managing data pipelines and confirming data quality and integration across platforms
- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
- Conducting complex data analysis to inform strategic decision-making
- Leveraging natural language processing and text analytics for innovative AI applications
- Building and maintaining data infrastructure to support AI-driven automation
- Mentoring junior team members and fostering a collaborative work environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python for complex data analysis and modeling
- Excelling in neural network design and reinforcement learning agents
- Applying natural language processing techniques for text analytics
- Leveraging TensorFlow and Scikit-Learn for deep learning projects

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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